US20140275812A1 - Flexible wearable body monitor device with sensor - Google Patents

Flexible wearable body monitor device with sensor Download PDF

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Publication number
US20140275812A1
US20140275812A1 US14/292,368 US201414292368A US2014275812A1 US 20140275812 A1 US20140275812 A1 US 20140275812A1 US 201414292368 A US201414292368 A US 201414292368A US 2014275812 A1 US2014275812 A1 US 2014275812A1
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Prior art keywords
sensor device
data
housing
user
sensor
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US14/292,368
Inventor
John M. Stivoric
Scott K. Boehmke
Eric Teller
Christopher Kasabach
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JB IP Acquisition LLC
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Bodymedia Inc
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First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=31887494&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=US20140275812(A1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Priority to US14/292,368 priority Critical patent/US20140275812A1/en
Application filed by Bodymedia Inc filed Critical Bodymedia Inc
Assigned to BODYMEDIA, INC. reassignment BODYMEDIA, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BOEHMKE, SCOTT K., KASABACH, CHRISTOPHER D., STIVORIC, M., John, TELLER, ERIC
Publication of US20140275812A1 publication Critical patent/US20140275812A1/en
Assigned to BLACKROCK ADVISORS, LLC reassignment BLACKROCK ADVISORS, LLC SECURITY INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ALIPH, INC., ALIPHCOM, BODYMEDIA, INC., MACGYVER ACQUISITION LLC, PROJECT PARIS ACQUISITION LLC
Assigned to BLACKROCK ADVISORS, LLC reassignment BLACKROCK ADVISORS, LLC SECURITY INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ALIPH, INC., ALIPHCOM, BODYMEDIA, INC., MACGYVER ACQUISITION LLC, PROJECT PARIS ACQUISITION LLC
Assigned to BLACKROCK ADVISORS, LLC reassignment BLACKROCK ADVISORS, LLC CORRECTIVE ASSIGNMENT TO CORRECT THE APPLICATION NO. 13870843 PREVIOUSLY RECORDED ON REEL 036500 FRAME 0173. ASSIGNOR(S) HEREBY CONFIRMS THE SECURITY INTEREST. Assignors: ALIPH, INC., ALIPHCOM, BODYMEDIA, INC., MACGYVER ACQUISITION, LLC, PROJECT PARIS ACQUISITION LLC
Assigned to JB IP ACQUISITION LLC reassignment JB IP ACQUISITION LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ALIPHCOM, LLC, BODYMEDIA, INC.
Assigned to J FITNESS LLC reassignment J FITNESS LLC UCC FINANCING STATEMENT Assignors: JB IP ACQUISITION, LLC
Assigned to J FITNESS LLC reassignment J FITNESS LLC SECURITY INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: JB IP ACQUISITION, LLC
Assigned to J FITNESS LLC reassignment J FITNESS LLC UCC FINANCING STATEMENT Assignors: JAWBONE HEALTH HUB, INC.
Assigned to ALIPHCOM LLC reassignment ALIPHCOM LLC RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: BLACKROCK ADVISORS, LLC
Assigned to J FITNESS LLC reassignment J FITNESS LLC RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: JAWBONE HEALTH HUB, INC., JB IP ACQUISITION, LLC
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    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7275Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Definitions

  • the present invention also relates to a number of embodiments of an apparatus which includes one or more sensors for collecting data relating to an individual's physiological state and various contextual parameters. Specifically, an apparatus containing two sensors that is capable of being disposed of after use.
  • barriers include the fact that the individual is often left to himself or herself to find motivation, to implement a plan for achieving a healthier lifestyle, to monitor progress, and to brainstorm solutions when problems arise; the fact that existing programs are directed to only certain aspects of a healthier lifestyle, and rarely come as a complete package; and the fact that recommendations are often not targeted to the unique characteristics of the individual or his life circumstances.
  • the apparatus includes a flexible section that is adapted to engage a portion of the wearer's body, and a housing that is removably attached to the flexible section.
  • the housing supports one or more physiological and/or contextual sensors and a processor in electrical communication with the sensors.
  • the apparatus may include multiple flexible sections that may be selectively attached to the housing.
  • the apparatus may also have operating parameters that are adjustable depending on the particular flexible section that is attached to the housing at a particular time. The operating parameters, for example, may be adjusted through the interaction of a switch or switches provided on or in the housing and a switch activator or switch activators provided on or in each of the flexible sections.
  • the apparatus may also include a wireless transceiver for transmitting information to and receiving information from a computing device.
  • the apparatus includes a housing and a base member having a preselected, known resistivity mounted within the housing.
  • the base member may comprise a printed circuit board.
  • a first temperature measuring device is attached to a first side of the base member and a second temperature measuring device is attached to a second side of the base member.
  • the temperature measuring devices may comprise, for example, a thermistor, a thermocouple, or a thermopile.
  • the apparatus further includes a thermal energy communicator mounted between a portion of the body of the wearer and the first temperature measuring device.
  • the thermal energy communicator may include one or more of a heat conduit, a thermally conductive interface material or materials, and a thermally conductive interface component in various combinations.
  • the second temperature measuring device is in thermal communication with the ambient environment.
  • the apparatus may include a thermal interface material and/or a thermally conductive interface component for providing thermal communication between the ambient environment and the second temperature measuring device.
  • a processing unit is provided in the housing and is in electrical communication with the temperature measuring devices.
  • the apparatus may further include a flexible section attached to the housing adapted to engage a portion of the body of the wearer, or a plurality of flexible sections adapted to be selectively attached to the housing. According to one embodiment, the apparatus has operating parameters that may be adjusted depending on the particular flexible section that is attached to the housing.
  • the apparatus includes a housing having an adhesive material on at least a portion of an external surface thereof that enables the housing to be removably attached to a portion of the body of the wearer.
  • At least two physiological and/or contextual sensors are supported by the housing.
  • the physiological sensors are adapted to facilitate the generation of data indicative of one or more physiological parameters of the wearer and the contextual sensors are adapted to facilitate the generation of data indicative of one or more contextual parameters of the wearer.
  • a processor is also included and is an electrical communication with the sensors.
  • the processor generates: (i) derived data from at least one of at least a portion of the data indicative of physiological parameters and at least a portion of the data indicative of contextual parameters; and (ii) analytical status data from at least a portion of at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data.
  • the apparatus further includes an electronic memory for retrievably storing at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data.
  • the apparatus is adapted to transmit to the wearer at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data.
  • the housing may be made of a rigid material or a flexible material, such as a flexible plastic film.
  • the apparatus may include a number of displays for transmitting information, including, but not limited to, an LED or an electrochemical display.
  • the apparatus may further include a wireless transceiver for receiving information from and transmitting information to a computing device.
  • the processor of the apparatus and the computing device may be adapted to engage in shared computing.
  • a computing device may be included in the apparatus for transmitting information to the wearer.
  • the computing device may be coupled to the processor, and the processor may be adapted to cause the computing device to trigger an event upon detection of one or more physiological conditions of the individual.
  • the apparatus may further include various structures for manually entering information into the apparatus, such as a button or a touch pad or keyboard provided on the apparatus or on a computing device coupled to the processor.
  • the apparatus monitors the degree to which the wearer has followed a predetermined routine.
  • the analytical status data comprises feedback to the individual relating to the degree to which the individual has followed the predetermined routine, with the feedback being generated from at least a portion of at least one of the data indicative of one or more physiological parameters of the individual, the derived data, and manually entered data.
  • an apparatus for detecting human physiological or contextual information from the body of an individual wearing the apparatus that includes a housing having an inner surface for mounting adjacent the body and an outer surface opposite the inner surface.
  • the inner surface includes a longitudinal axis and a transverse axis, with the inner surface being generally concave in a first direction and having an axis of concavity coincident with the longitudinal axis and generally convex in a second direction perpendicular to the first direction and having an axis of concavity coincident with the transverse axis.
  • the inner surface may have first and second lateral ends at opposite ends of the axis of concavity, and the housing may have a first radiused portion adjacent to and including the first lateral end and a second radiused portion adjacent to and including the second lateral end.
  • the inner surface may also have third and fourth lateral ends at opposite ends of the axis of convexity, and the housing may have a third radiused portion adjacent to and including the third lateral end and a fourth radiused portion adjacent to and including the fourth lateral end.
  • the outer surface of the housing may have a convex shape between a first lateral side and a second lateral side of the outer surface.
  • the housing includes a width dimension as measured between a first lateral side and a second lateral side of the housing, with at least a portion of the first lateral side and second lateral side each having a taper such that the width dimension generally decreases in a direction from the inner surface to the outer surface.
  • the apparatus may include a flexible section attached to the housing that engages the body of the wearer and has a generally convex outer surface.
  • an apparatus for detecting from the body of a wearer parameters relating to the heart of the wearer including an acoustic-based non-ECG heart parameter sensor that generates a first signal including a first acoustic component generated from the motion of the wearers heart and a second acoustic component generated from non-heart related motion of the body of the wearer, such as, for example, from footfalls.
  • the apparatus also includes one or more filtering sensors, such as an accelerometer, for generating a second signal related to the non-heart related motion of the body. The second signal is used to subtract the second acoustic component from the first signal to generate a third signal, with the third signal being used to generate the heart related parameters.
  • the first signal may also include an acoustic component generated from ambient noise
  • the apparatus may include an ambient noise sensor.
  • the signal form the ambient noise sensor is used to subtract out the acoustic component generated from ambient noise from the signal that is used to generate the heart related parameters.
  • a method for detecting from the body of a wearer parameters relating to the heart of the wearer.
  • the method comprises steps of generating a first acoustic signal including a first acoustic component generated from the motion of the wearer's heart and a second acoustic component generated from non-heart related motion of the body of the wearer, generating a second signal related to the non-heart related motion of the body, generating a third signal by using the second signal to subtract the second acoustic component from the first signal, and generating the heart related parameters from the third signal.
  • the first acoustic signal may further include a third acoustic component generated from ambient noise and the method may further comprise generating a fourth signal related to the ambient noise with the step of generating the third signal further comprising using the fourth signal to subtract the third acoustic component from the first signal.
  • FIG. 1 is a diagram of an embodiment of a system for monitoring physiological data and lifestyle over an electronic network according to the present invention
  • FIG. 2 is a block diagram of an embodiment of the sensor device shown in FIG. 1 ;
  • FIG. 3 is a block diagram of an embodiment of the central monitoring unit shown in FIG. 1 ;
  • FIG. 4 is a block diagram of an alternate embodiment of the central monitoring unit shown in FIG. 1 ;
  • FIG. 5 is a representation of a preferred embodiment of the Health Manager web page according to an aspect of the present invention.
  • FIG. 6 is a representation of a preferred embodiment of the nutrition web page according to an aspect of the present invention.
  • FIG. 7 is a representation of a preferred embodiment of the activity level web page according to an aspect of the present invention.
  • FIG. 8 is a representation of a preferred embodiment of the mind centering web page according to an aspect of the present invention.
  • FIG. 9 is a representation of a preferred embodiment of the sleep web page according to an aspect of the present invention.
  • FIG. 10 is a representation of a preferred embodiment of the daily activities web page according to an aspect of the present invention.
  • FIG. 11 is a representation of a preferred embodiment of the Health Index web page according to an aspect of the present invention.
  • FIG. 12 is a front view of a specific embodiment of the sensor device shown in FIG. 1 ;
  • FIG. 13 is a back view of a specific embodiment of the sensor device shown in FIG. 1 ;
  • FIG. 14 is a side view of a specific embodiment of the sensor device shown in FIG. 1 ;
  • FIG. 15 is a bottom view of a specific embodiment of the sensor device shown in FIG. 1 ;
  • FIGS. 16 and 17 are front perspective views of a specific embodiment of the sensor device shown in FIG. 1 ;
  • FIG. 18 is an exploded side perspective view of a specific embodiment of the sensor device shown in FIG. 1 ;
  • FIG. 19 is a side view of the sensor device shown in FIGS. 12 through 18 inserted into a battery recharger unit;
  • FIG. 20 is a block diagram illustrating all of the components either mounted on or coupled to the printed circuit board forming a part of the sensor device shown in FIGS. 12 through 18 ;
  • FIG. 21 is a block diagram of an apparatus for monitoring health, wellness and fitness according to an alternate embodiment of the present invention.
  • FIG. 22 is a front view of an alternate embodiment of a sensor device according to the present invention.
  • FIG. 23 is a back view of an alternate embodiment of a sensor device according to the present invention.
  • FIG. 24 is a cross-sectional view of the sensor device shown in FIG. 22 taken along lines A-A;
  • FIG. 25 is a cross-sectional view of the sensor device shown in FIG. 22 taken along lines B-B;
  • FIG. 26 is a cross-sectional view of the sensor device shown in FIG. 22 taken along lines A-A showing the internal components of the housing of the sensor device;
  • FIG. 27 is a block diagram illustrating the components mounted on or coupled to the printed circuit board forming a part of an embodiment of the sensor device shown in FIGS. 22 through 26 ;
  • FIG. 28 is a front view of an alternate embodiment of a sensor device according to the present invention including an LCD;
  • FIG. 29 is a block diagram illustrating the components mounted on or coupled to the printed circuit board forming a part of an alternate embodiment of the sensor device shown in FIGS. 22 through 26 ;
  • FIGS. 30 and 31 are isometric views of an alternate embodiment of a sensor device according to the present invention having a housing adapted to be removably attached to a flexible section;
  • FIG. 32 is an isometric view of a further alternate embodiment of a sensor device according to the present invention having a housing adapted to be removably attached to a flexible section;
  • FIG. 33 is an isometric view of an embodiment of a sensor device having adjustable operating parameters according to an aspect of the present invention.
  • FIG. 34 is an isometric view of an alternate embodiment of a sensor device according to the present invention having a housing having an adhesive material on an external surface thereof for removably attaching the housing to the body;
  • FIGS. 35A and B are cross-sectional views of a housing for a prior art sensor device
  • FIG. 35C through H are cross-sectional views of various embodiments of a housing for a sensor device according to an aspect of the present invention taken along lines C-C in FIG. 23 .
  • FIG. 36A is a cross-sectional view of a housing for a prior art sensor device
  • FIGS. 36B through H are cross-sectional views of various embodiments of a housing for a sensor device according to an aspect of the present invention taken along lines D-D in FIG. 23 ;
  • FIG. 37 is an isometric view of an embodiment of a housing for a sensor device according to the present invention having a bottom or inner surface having a concavity in one direction and a convexity in another direction;
  • FIGS. 38A through D are cross-sectional views of a housing for a sensor device having a flat top surface and flat lateral ends;
  • FIGS. 39A through F are cross-sectional views of various embodiments of a housing for a sensor device having surfaces designed to deflect objects and prevent movement of the housing;
  • FIG. 39G is a cross-sectional view of the housing shown in FIG. 39E attached to a flexible section.
  • FIG. 40A is an elevational drawing of the sensor device mounted within a garment on the upper arm of a wearer.
  • FIG. 40B is an elevational drawing of the sensor device mounted within a garment on the left chest area of a wearer.
  • data relating to the physiological state, the lifestyle and certain contextual parameters of an individual is collected and transmitted, either subsequently or in real-time, to a site, preferably remote from the individual, where it is stored for later manipulation and presentation to a recipient, preferably over an electronic network such as the Internet.
  • Contextual parameters as used herein means parameters relating to the environment, surroundings and location of the individual, including, but not limited to, air quality, sound quality, ambient temperature, global positioning and the like.
  • sensor device 10 located at user location 5 is sensor device 10 adapted to be placed in proximity with at least a portion of the human body.
  • Sensor device 10 is preferably worn by an individual user on his or her body, for example as part of a garment such as a form fitting shirt, or as part of an arm band or the like.
  • Sensor device 10 includes one or more sensors, which are adapted to generate signals in response to physiological characteristics of an individual, and a microprocessor.
  • Proximity as used herein means that the sensors of sensor device 10 are separated from the individual's body by a material or the like, or a distance such that the capabilities of the sensors are not impeded.
  • Sensor device 10 generates data indicative of various physiological parameters of an individual, such as the individual's heart rate, pulse rate, beat-to-beat heart variability, EKG or ECG, respiration rate, skin temperature, core body temperature, heat flow off the body, galvanic skin response or GSR, EMG, EEG, EOG, blood pressure, body fat, hydration level, activity level, oxygen consumption, glucose or blood sugar level, body position, pressure on muscles or bones, and UV radiation exposure and absorption.
  • the data indicative of the various physiological parameters is the signal or signals themselves generated by the one or more sensors and in certain other cases the data is calculated by the microprocessor based on the signal or signals generated by the one or more sensors.
  • Methods for generating data indicative of various physiological parameters and sensors to be used therefor are well known. Table 1 provides several examples of such well known methods and shows the parameter in question, the method used, the sensor device used, and the signal that is generated. Table 1 also provides an indication as to whether further processing based on the generated signal is required to generate the data.
  • Table 1 The types of data listed in Table 1 are intended to be examples of the types of data that can be generated by sensor device 10 . It is to be understood that other types of data relating to other parameters can be generated by sensor device 10 without departing from the scope of the present invention.
  • the microprocessor of sensor device 10 may be programmed to summarize and analyze the data. For example, the microprocessor can be programmed to calculate an average, minimum or maximum heart rate or respiration rate over a defined period of time, such as ten minutes. Sensor device 10 may be able to derive information relating to an individual's physiological state based on the data indicative of one or more physiological parameters. The microprocessor of sensor device 10 is programmed to derive such information using known methods based on the data indicative of one or more physiological parameters. Table 2 provides examples of the type of information that can be derived, and indicates some of the types of data that can be used therefor.
  • sensor device 10 may also generate data indicative of various contextual parameters relating to the environment surrounding the individual.
  • sensor device 10 can generate data indicative of the air quality, sound level/quality, light quality or ambient temperature near the individual, or even the global positioning of the individual.
  • Sensor device 10 may include one or more sensors for generating signals in response to contextual characteristics relating to the environment surrounding the individual, the signals ultimately being used to generate the type of data described above. Such sensors are well known, as are methods for generating contextual parametric data such as air quality, sound level/equality, ambient temperature and global positioning.
  • FIG. 2 is a block diagram of an embodiment of sensor device 10 .
  • Sensor device 10 includes at least one sensor 12 and microprocessor 20 .
  • the signal can be sent through one or more of amplifier 14 , conditioning circuit 16 , and analog-to-digital converter 18 , before being sent to microprocessor 20 .
  • amplifier 14 For example, where sensor 12 generates an analog signal in need of amplification and filtering, that signal can be sent to amplifier 14 , and then on to conditioning circuit 16 , which may, for example, be a band pass filter.
  • the amplified and conditioned analog signal can then be transferred to analog-to-digital converter 18 , where it is converted to a digital signal.
  • the digital signal is then sent to microprocessor 20 .
  • sensor 12 generates a digital signal
  • that signal can be sent directly to microprocessor 20 .
  • a digital signal or signals representing certain physiological and/or contextual characteristics of the individual user may be used by microprocessor 20 to calculate or generate data indicative of physiological and/or contextual parameters of the individual user.
  • Microprocessor 20 is programmed to derive information relating to at least one aspect of the individual's physiological state. It should be understood that microprocessor 20 may also comprise other forms of processors or processing devices, such as a microcontroller, or any other device that can be programmed to perform the functionality described herein.
  • the data indicative of physiological and/or contextual parameters can, according to one embodiment of the present invention, be sent to memory 22 , such as flash memory, where it is stored until uploaded in the manner to be described below.
  • memory 22 is shown in FIG. 2 as a discrete element, it will be appreciated that it may also be part of microprocessor 20 .
  • Sensor device 10 also includes input/output circuitry 24 , which is adapted to output and receive as input certain data signals in the manners to be described herein.
  • memory 22 of the sensor device 10 will build up, over time, a store of data relating to the individual user's body and/or environment. That data is periodically uploaded from sensor device 10 and sent to remote central monitoring unit 30 , as shown in FIG.
  • sensor device 10 may continuously upload data in real time.
  • the uploading of data from sensor device 10 to central monitoring unit 30 for storage can be accomplished in various ways.
  • the data collected by sensor device 10 is uploaded by first transferring the data to personal computer 35 shown in FIG. 1 by means of physical connection 40 , which, for example, may be a serial connection such as an RS232 or USB port.
  • This physical connection may also be accomplished by using a cradle, not shown, that is electronically coupled to personal computer 35 into which sensor device 10 can be inserted, as is common with many commercially available personal digital assistants.
  • the uploading of data could be initiated by then pressing a button on the cradle or could be initiated automatically upon insertion of sensor device 10 .
  • the data collected by sensor device 10 may be uploaded by first transferring the data to personal computer 35 by means of short-range wireless transmission, such as infrared or RF transmission, as indicated at 45 .
  • personal computer 35 Once the data is received by personal computer 35 , it is optionally compressed and encrypted by any one of a variety of well known methods and then sent out over a local or global electronic network, preferably the Internet, to central monitoring unit 30 .
  • personal computer 35 can be replaced by any computing device that has access to and that can transmit and receive data through the electronic network, such as, for example, a personal digital assistant such as the Palm VII sold by Palm, Inc., or the Blackberry 2-way pager sold by Research in Motion, Inc.
  • the data collected by sensor device 10 after being encrypted and, optionally, compressed by microprocessor 20 , may be transferred to wireless device 50 , such as a 2-way pager or cellular phone, for subsequent long distance wireless transmission to local telco site 55 using a wireless protocol such as e-mail or as ASCII or binary data.
  • Local telco site 55 includes tower 60 that receives the wireless transmission from wireless device 50 and computer 65 connected to tower 60 .
  • computer 65 has access to the relevant electronic network, such as the Internet, and is used to transmit the data received in the form of the wireless transmission to the central monitoring unit 30 over the Internet.
  • wireless device 50 is shown in FIG. 1 as a discrete device coupled to sensor device 10 , it or a device having the same or similar functionality may be embedded as part of sensor device 10 .
  • Sensor device 10 may be provided with a button to be used to time stamp events such as time to bed, wake time, and time of meals. These time stamps are stored in sensor device 10 and are uploaded to central monitoring unit 30 with the rest of the data as described above.
  • the time stamps may include a digitally recorded voice message that, after being uploaded to central monitoring unit 30 , are translated using voice recognition technology into text or some other information format that can be used by central monitoring unit 30 .
  • a kiosk could be adapted to collect such data by, for example, weighing the individual, providing a sensing device similar to sensor device 10 on which an individual places his or her hand or another part of his or her body, or by scanning the individual's body using, for example, laser technology or an iStat blood analyzer.
  • the kiosk would be provided with processing capability as described herein and access to the relevant electronic network, and would thus be adapted to send the collected data to the central monitoring unit 30 through the electronic network.
  • a desktop sensing device again similar to sensor device 10 , on which an individual places his or her hand or another part of his or her body may also be provided.
  • such a desktop sensing device could be a blood pressure monitor in which an individual places his or her arm.
  • An individual might also wear a ring having a sensor device 10 incorporated therein.
  • a base not shown, could then be provided which is adapted to be coupled to the ring.
  • the desktop sensing is device or the base just described may then be coupled to a computer such as personal computer 35 by means of a physical or short range wireless connection so that the collected data could be uploaded to central monitoring unit 30 over the relevant electronic network in the manner described above.
  • a mobile device such as, for example, a personal digital assistant, might also be provided with a sensor device 10 incorporated therein.
  • Such a sensor device 10 would be adapted to collect data when mobile device is placed in proximity with the individual's body, such as by holding the device in the palm of one's hand, and upload the collected data to central monitoring unit 30 in any of the ways described herein.
  • central monitoring unit 30 can also manually provide data relating to various life activities that is ultimately transferred to and stored at central monitoring unit 30 .
  • An individual user can access a web site maintained by central monitoring unit 30 and can directly input information relating to life activities by entering text freely, by responding to questions posed by the web site, or by clicking through dialog boxes provided by the web site.
  • Central monitoring unit 30 can also be adapted to periodically send electronic mail messages containing questions designed to elicit information relating to life activities to personal computer 35 or to some other device that can receive electronic mail, such as a personal digital assistant, a pager, or a cellular phone. The individual would then provide data relating to life activities to central monitoring unit 30 by responding to the appropriate electronic mail message with the relevant data.
  • Central monitoring unit 30 may also be adapted to place a telephone call to an individual user in which certain questions would be posed to the individual user.
  • the user could respond to the questions by entering information using a telephone keypad, or by voice, in which case conventional voice recognition technology would be used by central monitoring unit 30 to receive and process the response.
  • the telephone call may also be initiated by the user, in which case the user could speak to a person directly or enter information using the keypad or by voice/voice recognition technology.
  • Central monitoring unit 30 may also be given access to a source of information controlled by the user, for example the user's electronic calendar such as that provided with the Outlook product sold by Microsoft Corporation of Redmond, Wash., from which it could automatically collect information.
  • the data relating to life activities may relate to the eating, sleep, exercise, mind centering or relaxation, and/or daily living habits, patterns and/or activities of the individual.
  • sample questions may include: What did you have for lunch today? What time did you go to sleep last night? What time did you wake up this morning? How long did you run on the treadmill today?
  • Feedback may also be provided to a user directly through sensor device 10 in a visual form, for example through an LED or LCD or by constructing sensor device 10 , at least in part, of a thermochromatic plastic, in the form of an acoustic signal or in the form of tactile feedback such as vibration.
  • Such feedback may be a reminder or an alert to eat a meal or take medication or a supplement such as a vitamin, to engage in an activity such as exercise or meditation, or to drink water when a state of dehydration is detected.
  • a reminder or alert can be issued in the event that a particular physiological parameter such as ovulation has been detected, a level of calories burned during a workout has been achieved or a high heart rate or respiration rate has been encountered.
  • Central monitoring unit 30 includes CSU/DSU 70 which is connected to router 75 , the main function of which is to take data requests or traffic, both incoming and outgoing, and direct such requests and traffic for processing or viewing on the web site maintained by central monitoring unit 30 .
  • CSU/DSU 70 which is connected to router 75 , the main function of which is to take data requests or traffic, both incoming and outgoing, and direct such requests and traffic for processing or viewing on the web site maintained by central monitoring unit 30 .
  • firewall 80 Connected to router 75 is firewall 80 .
  • the main purpose of firewall 80 is to protect the remainder of central monitoring unit 30 from unauthorized or malicious intrusions.
  • Switch 85 connected to firewall 80 , is used to direct data flow between middleware servers 95 a through 95 c and database server 110 .
  • Load balancer 90 is provided to spread the workload of incoming requests among the identically configured middleware servers 95 a through 95 c .
  • Load balancer 90 analyzes the availability of each middleware server 95 a through 95 c , and the amount of system resources being used in each middleware server 95 a through 95 c , in order to spread tasks among them appropriately.
  • Central monitoring unit 30 includes network storage device 100 , such as a storage area network or SAN, which acts as the central repository for data.
  • network storage device 100 comprises a database that stores all data gathered for each individual user in the manners described above.
  • An example of a suitable network storage device 100 is the Symmetrix product sold by EMC Corporation of Hopkinton, Mass. Although only one network storage device 100 is shown in FIG. 3 , it will be understood that multiple network storage devices of various capacities could be used depending on the data storage needs of central monitoring unit 30 .
  • Central monitoring unit 30 also includes database server 110 which is coupled to network storage device 100 .
  • Database server 110 is made up of two main components: a large scale multiprocessor server and an enterprise type software server component such as the 8/8i component sold by Oracle Corporation of Redwood City, Calif., or the 506 7 component sold by Microsoft Corporation of Redmond, Wash.
  • the primary functions of database server 110 are that of providing access upon request to the data stored in network storage device 100 , and populating network storage device 100 with new data.
  • controller 115 Coupled to network storage device 100 is controller 115 , which typically comprises a desktop personal computer, for managing the data stored in network storage device 100 .
  • Middleware servers 95 a through 95 c each contain software for generating and maintaining the corporate or home web page or pages of the web site maintained by central monitoring unit 30 .
  • a web page refers to a block or blocks of data available on the World-Wide Web comprising a file or files written in Hypertext Markup Language or HTML
  • a web site commonly refers to any computer on the Internet running a World-Wide Web server process.
  • the corporate or home web page or pages are the opening or landing web page or pages that are accessible by all members of the general public that visit the site by using the appropriate uniform resource locator or URL.
  • URLs are the form of address used on the World-Wide Web and provide a standard way of specifying the location of an object, typically a web page, on the Internet.
  • Middleware servers 95 a through 95 c also each contain software for generating and maintaining the web pages of the web site of central monitoring unit 30 that can only be accessed by individuals that register and become members of central monitoring unit 30 .
  • the member users will be those individuals who wish to have their data stored at central monitoring unit 30 . Access by such member users is controlled using passwords for security purposes.
  • Preferred embodiments of those web pages are described in detail below and are generated using collected data that is stored in the database of network storage device 100 .
  • Middleware servers 95 a through 95 c also contain software for requesting data from and writing data to network storage device 100 through database server 110 .
  • the central monitoring unit 30 When an individual user desires to initiate a session with the central monitoring unit 30 for the purpose of entering data into the database of network storage device 100 , viewing his or her data stored in the database of network storage device 100 , or both, the user visits the home web page of central monitoring unit 30 using a browser program such as Internet Explorer distributed by Microsoft Corporation of Redmond, Wash., and logs in as a registered user.
  • Load balancer 90 assigns the user to one of the middleware servers 95 a through 95 c , identified as the chosen middleware server. A user will preferably be assigned to a chosen middleware server for each entire session.
  • the chosen middleware server authenticates the user using any one of many well known methods, to ensure that only the true user is permitted to access the information in the database.
  • a member user may also grant access to his or her data to a third party such as a health care provider or a personal trainer.
  • Each authorized third party may be given a separate password and may view the member user's data using a conventional browser. It is therefore possible for both the user and the third party to be the recipient of the data.
  • the chosen middleware server When the user is authenticated, the chosen middleware server requests, through database server 110 , the individual user's data from network storage device 100 for a predetermined time period.
  • the predetermined time period is preferably thirty days.
  • the requested data once received from network storage device 100 , is temporarily stored by the chosen middleware server in cache memory.
  • the cached data is used by the chosen middleware server as the basis for presenting information, in the form of web pages, to the user again through the user's browser.
  • Each middleware server 95 a through 95 c is provided with appropriate software for generating such web pages, including software for manipulating and performing calculations utilizing the data to put the data in appropriate format for presentation to the user. Once the user ends his or her session, the data is discarded from cache.
  • This caching system thus ideally requires that only one call to the network storage device 100 be made per session, thereby reducing the traffic that database server 110 must handle. Should a request from a user during a particular session require data that is outside of a predetermined time period of cached data already retrieved, a separate call to network storage device 100 may be performed by the chosen middleware server. The predetermined time period should be chosen, however, such that such additional calls are minimized. Cached data may also be saved in cache memory so that it can be reused when a user starts a new session, thus eliminating the need to initiate a new call to network storage device 100 .
  • the microprocessor of sensor device 10 may be programmed to derive information relating to an individual's physiological state based on the data indicative of one or more physiological parameters.
  • Central monitoring unit 30 and preferably middleware servers 95 a through 95 c , may also be similarly programmed to derive such information based on the data indicative of one or more physiological parameters.
  • a user will input additional data during a session, for example, information relating to the user's eating or sleeping habits.
  • This additional data is preferably stored by the chosen middleware server in a cache during the duration of the user's session.
  • this additional new data stored in a cache is transferred by the chosen middleware server to database server 110 for population in network storage device 100 .
  • the input data may also be immediately transferred to database server 110 for population in network storage device 100 , as part of a write-through cache system which is well known in the art.
  • Data collected by sensor device 10 shown in FIG. 1 is periodically uploaded to central monitoring unit 30 .
  • a connection to central monitoring unit 30 is made through an electronic network, preferably the Internet.
  • connection is made to load balancer 90 through CSU/DSU 70 , router 75 , firewall 80 and switch 85 .
  • Load balancer 90 then chooses one of the middleware servers 95 a through 95 c to handle the upload of data, hereafter called the chosen middleware server.
  • the chosen middleware server authenticates the user using any one of many well known methods. If authentication is successful, the data is uploaded to the chosen middleware server as described above, and is ultimately transferred to database server 110 for population in the network storage device 100 .
  • FIG. 4 an alternate embodiment of central monitoring unit 30 is shown.
  • the embodiment of the central monitoring unit 30 shown in FIG. 4 includes a minor network storage device 120 which is a redundant backup of network storage device 100 . Coupled to mirror network storage device 120 is controller 122 . Data from network storage device 100 is periodically copied to mirror network storage device 120 for data redundancy purposes.
  • Third parties such as insurance companies or research institutions may be given access, possibly for a fee, to certain of the information stored in minor network storage device 120 .
  • these third parties are not given access to such user's individual database records, but rather are only given access to the data stored in minor network storage device 120 in aggregate form.
  • Such third parties may be able to access the information stored in minor network storage device 120 through the Internet using a conventional browser program. Requests from third parties may come in through CSU/DSU 70 , router 75 , firewall 80 and switch 85 . In the embodiment shown in FIG.
  • Middleware servers 135 a through 135 c each contain software for enabling the third parties to, using a browser, formulate queries for information from mirror network storage device 120 through separate database server 125 .
  • Middleware servers 135 a through 135 c also contain software for presenting the information obtained from mirror network storage device 120 to the third parties over the Internet in the form of web pages.
  • the third parties can choose from a series of prepared reports that have information packaged along subject matter lines, such as various demographic categories.
  • the third parties may be given access to the data stored in network storage device 100 .
  • the same functionality instead of providing load balancer 90 and middleware servers 95 a through 95 c , the same functionality, although at a sacrificed level of performance, could be provided by load balancer 90 and middleware servers 95 a through 95 c.
  • the purposes of the survey are to: identify unique characteristics/circumstances for each user that they might need to address in order to maximize the likelihood that they will implement and maintain a healthy lifestyle as suggested by central monitoring unit 30 ; gather baseline data which will be used to set initial goals for the individual user and facilitate the calculation and display of certain graphical data output such as the Health Index pistons; identify unique user characteristics and circumstances that will help central monitoring unit 30 customize the type of content provided to the user in the Health Manager's Daily Dose; and identify unique user characteristics and circumstances that the Health Manager can guide the user to address as possible barriers to a healthy lifestyle through the problem-solving function of the Health Manager.
  • the specific information to be surveyed may include: key individual temperamental characteristics, including activity level, regularity of eating, sleeping, and bowel habits, initial response to situations, adaptability, persistence, threshold of responsiveness, intensity of reaction, and quality of mood; the user's level of independent functioning, i.e., self-organization and management, socialization, memory, and academic achievement skills; the user's ability to focus and sustain attention, including the user's level of arousal, cognitive tempo, ability to filter distractions, vigilance, and self-monitoring; the user's current health status including current weight, height, and blood pressure, most recent general physician visit, gynecological exam, and other applicable physician/healthcare contacts, current medications and supplements, allergies, and a review of current symptoms and/or health-related behaviors; the user's past health history, i.e., illnesses/surgeries, family history, and social stress events, such as divorce or loss of a job, that have required adjustment by the individual; the user's beliefs, values and opinions about health priorities
  • Each member user will have access, through the home web page of central monitoring unit 30 , to a series of web pages customized for that user, referred to as the Health Manager.
  • the opening Health Manager web page 150 is shown in FIG. 5 .
  • the Health Manager web pages are the main workspace area for the member user.
  • the Health Manager web pages comprise a utility through which central monitoring unit 30 provides various types and forms of data, commonly referred to as analytical status data, to the user that is generated from the data it collects or generates, namely one or more of: the data indicative of various physiological parameters generated by sensor device 10 ; the data derived from the data indicative of various physiological parameters; the data indicative of various contextual parameters generated by sensor device 10 ; and the data input by the user.
  • Analytical status data is characterized by the application of certain utilities or algorithms to convert one or more of the data indicative of various physiological parameters generated by sensor device 10 , the data derived from the data indicative of various physiological parameters, the data indicative of various contextual parameters generated by sensor device 10 , and the data input by the user into calculated health, wellness and lifestyle indicators. For example, based on data input by the user relating to the foods he or she has eaten, things such as calories and amounts of proteins, fats, carbohydrates, and certain vitamins can be calculated. As another example, skin temperature, heart rate, respiration rate, heat flow and/or GSR can be used to provide an indicator to the user of his or her stress level over a desired time period.
  • skin temperature, heat flow, beat-to-beat heart variability, heart rate, pulse rate, respiration rate, core temperature, galvanic skin response, EMG, EEG, EOG, blood pressure, oxygen consumption, ambient sound and body movement or motion as detected by a device such as an accelerometer can be used to provide indicators to the user of his or her sleep patterns over a desired time period.
  • Health Index 155 is a graphical utility used to measure and provide feedback to member users regarding their performance and the degree to which they have succeeded in reaching a healthy daily routine suggested by central monitoring unit 30 . Health Index 155 thus provides an indication for the member user to track his or her progress. Health Index 155 includes six categories relating to the user's health and lifestyle: Nutrition, Activity Level, Mind Centering, Sleep, Daily Activities and How You Feel. The Nutrition category relates to what, when and how much a person eats and drinks. The Activity Level category relates to how much a person moves around.
  • the Mind Centering category relates to the quality and quantity of time a person spends engaging in some activity that allows the body to achieve a state of profound relaxation while the mind becomes highly alert and focused.
  • the Sleep category relates to the quality and quantity of a person's sleep.
  • the Daily Activities category relates to the daily responsibilities and health risks people encounter.
  • the How You Feel category relates to the general perception that a person has about how they feel on a particular day.
  • Each category has an associated level indicator or piston that indicates, preferably on a scale ranging from poor to excellent, how the user is performing with respect to that category.
  • a profile is generated that provides the user with a summary of his or her relevant characteristics and life circumstances.
  • a plan and/or set of goals is provided in the form of a suggested healthy daily routine.
  • the suggested healthy daily routine may include any combination of specific suggestions for incorporating proper nutrition, exercise, mind centering, sleep, and selected activities of daily living in the user's life. Prototype schedules may be offered as guides for how these suggested activities can be incorporated into the user's life. The user may periodically retake the survey, and based on the results, the items discussed above will be adjusted accordingly.
  • the Nutrition category is calculated from both data input by the user and sensed by sensor device 10 .
  • the data input by the user comprises the time and duration of breakfast, lunch, dinner and any snacks, and the foods eaten, the supplements such as vitamins that are taken, and the water and other liquids consumed during a relevant, pre-selected time period.
  • central monitoring unit 30 calculates well known nutritional food values such as calories and amounts of proteins, fats, carbohydrates, vitamins, etc., consumed.
  • the Nutrition Health Index piston level is preferably determined with respect to the following suggested healthy daily routine: eat at least three meals; eat a varied diet consisting of 6-11 servings of bread, pasta, cereal, and rice, 2-4 servings fruit, 3-5 servings of vegetables, 2-3 servings of fish, meat, poultry, dry beans, eggs, and nuts, and 2-3 servings of milk, yogurt and cheese; and drink 8 or more 8 ounce glasses of water.
  • This routine may be adjusted based on information about the user, such as sex, age, height and/or weight.
  • Certain nutritional targets may also be set by the user or for the user, relating to daily calories, protein, fiber, fat, carbohydrates, and/or water consumption and percentages of total consumption. Parameters utilized in the calculation of the relevant piston level include the number of meals per day, the number of glasses of water, and the types and amounts of food eaten each day as input by the user.
  • Nutritional information is presented to the user through nutrition web page 160 as shown in FIG. 6 .
  • the preferred nutritional web page 160 includes nutritional fact charts 165 and 170 which illustrate actual and target nutritional facts, respectively as pie charts, and nutritional intake charts 175 and 180 which show total actual nutritional intake and target nutritional intake, respectively as pie charts.
  • Nutritional fact charts 165 and 170 preferably show a percentage breakdown of items such as carbohydrates, protein and fat, and nutritional intake charts 175 and 180 are preferably broken down to show components such as total and target calories, fat, carbohydrates, protein, and vitamins.
  • Web page 160 also includes meal and water consumption tracking 185 with time entries, hyperlinks 190 which allow the user to directly access nutrition-related news items and articles, suggestions for refining or improving daily routine with respect to nutrition and affiliate advertising elsewhere on the network, and calendar 195 for choosing between views having variable and selectable time periods.
  • the items shown at 190 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • the Activity Level category of Health Index 155 is designed to help users monitor how and when they move around during the day and utilizes both data input by the user and data sensed by sensor device 10 .
  • the data input by the user may include details regarding the user's daily activities, for example the fact that the user worked at a desk from 8 a.m. to 5 p.m. and then took an aerobics class from 6 p.m. to 7 p.m.
  • Relevant data sensed by sensor device 10 may include heart rate, movement as sensed by a device such as an accelerometer, heat flow, respiration rate, calories burned, GSR and hydration level, which may be derived by sensor device 60 or central monitoring unit 30 .
  • Calories burned may be calculated in a variety of manners, including: the multiplication of the type of exercise input by the user by the duration of exercise input by the user; sensed motion multiplied by time of motion multiplied by a filter constant; or sensed heat flux multiplied by time multiplied by a filter constant.
  • the Activity Level Health Index piston level is preferably determined with respect to a suggested healthy daily routine that includes: exercising aerobically for a pre-set time period, preferably 20 minutes, or engaging in a vigorous lifestyle activity for a pre-set time period, preferably one hour, and burning at least a minimum target number of calories, preferably 205 calories, through the aerobic exercise and/or lifestyle activity.
  • the minimum target number of calories may be set according to information about the user, such as sex, age, height and/or weight. Parameters utilized in the calculation of the relevant piston level include the amount of time spent exercising aerobically or engaging in a vigorous lifestyle activity as input by the user and/or sensed by sensor device 10 , and the number of calories burned above pre-calculated energy expenditure parameters.
  • Activity level web page 200 shown in FIG. 7 , which may include activity graph 205 in the form of a bar graph, for monitoring the individual user's activities in one of three categories: high, medium and low intensity with respect to a pre-selected unit of time.
  • Activity percentage chart 210 in the form or a pie chart, may also be provided for showing the percentage of a pre-selected time period, such as one day, that the user spent in each category.
  • Activity level web page 200 may also include calorie section 215 for displaying items such as total calories burned, daily target calories burned, total caloric intake, and duration of aerobic activity.
  • activity level web page 200 may include at least one hyperlink 220 to allow a user to directly access relevant news items and articles, suggestions for refining or improving daily routine with respect to activity level and affiliate advertising elsewhere on the network.
  • Activity level web page 200 may be viewed in a variety of formats, and may include user-selectable graphs and charts such as a bar graph, pie chart, or both, as selectable by Activity level check boxes 225 .
  • Activity level calendar 230 is provided for selecting among views having variable and selectable time periods. The items shown at 220 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • the Mind Centering category of Health Index 155 is designed to help users monitor the parameters relating to time spent engaging in certain activities which allow the body to achieve a state of profound relaxation while the mind becomes focused, and is based upon both data input by the user and data sensed by the sensor device 10 .
  • a user may input the beginning and end times of relaxation activities such as yoga or meditation.
  • the quality of those activities as determined by the depth of a mind centering event can be measured by monitoring parameters including skin temperature, heart rate, respiration rate, and heat flow as sensed by sensor device 10 . Percent change in GSR as derived either by sensor device 10 or central monitoring unit 30 may also be utilized.
  • the Mind Centering Health Index piston level is preferably calculated with respect to a suggested healthy daily routine that includes participating each day in an activity that allows the body to achieve profound relaxation while the mind stays highly focused for at least fifteen minutes.
  • Parameters utilized in the calculation of the relevant piston level include the amount of time spent in a mind centering activity, and the percent change in skin temperature, heart rate, respiration rate, heat flow or GSR as sensed by sensor device 10 compared to a baseline which is an indication of the depth or quality of the mind centering activity.
  • the preferred mind centering web page 250 includes the time spent during the session, shown at 255 , the target time, shown at 260 , comparison section 265 showing target and actual depth of mind centering, or focus, and a histogram 270 that shows the overall level of stress derived from such things as skin temperature, heart rate, respiration rate, heat flow and/or GSR.
  • comparison section 265 the human figure outline showing target focus is solid, and the human figure outline showing actual focus ranges from fuzzy to solid depending on the level of focus.
  • the preferred mind centering web page may also include an indication of the total time spent on mind centering activities, shown at 275 , hyperlinks 280 which allow the user to directly access relevant news items and articles, suggestions for refining or improving daily routine with respect to mind centering and affiliate advertising, and a calendar 285 for choosing among views having variable and selectable time periods.
  • the items shown at 280 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • the Sleep category of Health Index 155 is designed to help users monitor their sleep patterns and the quality of their sleep. It is intended to help users learn about the importance of sleep in their healthy lifestyle and the relationship of sleep to circadian rhythms, being the normal daily variations in body functions.
  • the Sleep category is based upon both data input by the user and data sensed by sensor device 10 .
  • the data input by the user for each relevant time interval includes the times the user went to sleep and woke up and a rating of the quality of sleep.
  • the data from sensor device 10 that is relevant includes skin temperature, heat flow, beat-to-beat heart variability, heart rate, pulse rate, respiration rate, core temperature, galvanic skin response, EMG, EEG, EOG, blood pressure, and oxygen consumption.
  • ambient sound and body movement or motion as detected by a device such as an accelerometer. This data can then be used to calculate or derive sleep onset and wake time, sleep interruptions, and the quality and depth of sleep.
  • the Sleep Health Index piston level is determined with respect to a healthy daily routine including getting a minimum amount, preferably eight hours, of sleep each night and having a predictable bed time and wake time.
  • the specific parameters which determine the piston level calculation include the number of hours of sleep per night and the bed time and wake time as sensed by sensor device 10 or as input by the user, and the quality of the sleep as rated by the user or derived from other data.
  • Sleep web page 290 includes a sleep duration indicator 295 , based on either data from sensor device 10 or on data input by the user, together with user sleep time indicator 300 and wake time indicator 305 .
  • a quality of sleep rating 310 input by the user may also be utilized and displayed. If more than a one day time interval is being displayed on sleep web page 290 , then sleep duration indicator 295 is calculated and displayed as a cumulative value, and sleep time indicator 300 , wake time indicator 305 and quality of sleep rating 310 are calculated and illustrated as averages.
  • Sleep web page 290 also includes a user-selectable sleep graph 315 which calculates and displays one sleep related parameter over a pre-selected time interval.
  • FIG. 9 shows heat flow over a one-day period, which tends to be lower during sleeping hours and higher during waking hours. From this information, a person's bio-rhythms can be derived.
  • Sleep graph 315 may also include a graphical representation of data from an accelerometer incorporated in sensor device 10 which monitors the movement of the body.
  • the sleep web page 290 may also include hyperlinks 320 which allow the user to directly access sleep related news items and articles, suggestions for refining or improving daily routine with respect to sleep and affiliate advertising available elsewhere on the network, and a sleep calendar 325 for choosing a relevant time interval. The items shown at 320 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • the Activities of Daily Living category of Health Index 155 is designed to help users monitor certain health and safety related activities and risks and is based entirely on data input by the user.
  • the Activities of Daily Living category is divided into four sub-categories: personal hygiene, which allows the user to monitor activities such as brushing and flossing his or her teeth and showering; health maintenance, that tracks whether the user is taking prescribed medication or supplements and allows the user to monitor tobacco and alcohol consumption and automobile safety such as seat belt use; personal time, that allows the user to monitor time spent socially with family and friends, leisure, and mind centering activities; and responsibilities, that allows the user to monitor certain work and financial activities such as paying bills and household chores.
  • the Activities of Daily Living Health Index piston level is preferably determined with respect to the healthy daily routine described below.
  • the routine requires that the users shower or bathe each day, brush and floss teeth each day, and maintain regular bowel habits.
  • the routine requires that the user take medications and vitamins and/or supplements, use a seat belt, refrain from smoking, drink moderately, and monitor health each day with the Health Manager.
  • the routine requires the users to spend at least one hour of quality time each day with family and/or friends, restrict work time to a maximum of nine hours a day, spend some time on a leisure or play activity each day, and engage in a mind stimulating activity.
  • the routine requires the users to do household chores, pay bills, be on time for work, and keep appointments.
  • the piston level is calculated based on the degree to which the user completes a list of daily activities as determined by information input by the user.
  • activities chart 335 selectable for one or more of the sub-categories, shows whether the user has done what is required by the daily routine.
  • a colored or shaded box indicates that the user has done the required activity, and an empty, non-colored or shaded box indicates that the user has not done the activity.
  • Activities chart 335 can be created and viewed in selectable time intervals.
  • FIG. 10 shows the personal hygiene and personal time sub-categories for a particular week.
  • daily activities web page 330 may include daily activity hyperlinks 340 which allow the user to directly access relevant news items and articles, suggestions for improving or refining daily routine with respect to activities of daily living and affiliate advertising, and a daily activities calendar 345 for selecting a relevant time interval.
  • the items shown at 340 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • the How You Feel category of Health Index 155 is designed to allow users to monitor their perception of how they felt on a particular day, and is based on information, essentially a subjective rating, that is input directly by the user.
  • a user provides a rating, preferably on a scale of 1 to 5, with respect to the following nine subject areas: mental sharpness; emotional and psychological well being; energy level; ability to cope with life stresses; appearance; physical well being; self-control; motivation; and comfort in relating to others. Those ratings are averaged and used to calculate the relevant piston level.
  • Health Index web page 350 enables users to view the performance of their Health Index over a user selectable time interval including any number of consecutive or non-consecutive days.
  • Health Index selector buttons 360 the user can select to view the Health Index piston levels for one category, or can view a side-by-side comparison of the Health Index piston levels for two or more categories. For example, a user might want to just turn on Sleep to see if their overall sleep rating improved over the previous month, much in the same way they view the performance of their favorite stock.
  • Sleep and Activity Level might be simultaneously displayed in order to compare and evaluate Sleep ratings with corresponding Activity Level ratings to determine if any day-to-day correlations exist.
  • Nutrition ratings might be displayed with How You Feel for a pre-selected time interval to determine if any correlation exists between daily eating habits and how they felt during that interval.
  • FIG. 11 illustrates a comparison of Sleep and Activity Level piston levels for the week of June 10 through June 16.
  • Health Index web page 350 also includes tracking calculator 365 that displays access information and statistics such as the total number of days the user has logged in and used the Health Manager, the percentage of days the user has used the Health Manager since becoming a subscriber, and percentage of time the user has used the sensor device 10 to gather data.
  • opening Health Manager web page 150 may include a plurality of user selectable category summaries 156 a through 156 f , one corresponding to each of the Health Index 155 categories.
  • Each category summary 156 a through 156 f presents a pre-selected filtered subset of the data associated with the corresponding category.
  • Nutrition category summary 156 a displays daily target and actual caloric intake.
  • Activity Level category summary 156 b displays daily target and actual calories burned.
  • Mind Centering category summary 156 c displays target and actual depth of mind centering or focus.
  • Sleep category summary 156 d displays target sleep, actual sleep, and a sleep quality rating.
  • Daily Activities category summary 156 e displays a target and actual score based on the percentage of suggested daily activities that are completed. The How You Feel category summary 156 f shows a target and actual rating for the day.
  • Opening Health Manager web page 150 also may include Daily Dose section 157 which provides, on a daily time interval basis, information to the user, including, but not limited to, hyperlinks to news items and articles, commentary and reminders to the user based on tendencies, such as poor nutritional habits, determined from the initial survey.
  • the commentary for Daily Dose 157 may, for example, be a factual statement that drinking 8 glasses of water a day can reduce the risk of colon cancer by as much as 32%, accompanied by a suggestion to keep a cup of water by your computer or on your desk at work and refill often.
  • Opening Health Manager web page 150 also may include a Problem Solver section 158 that actively evaluates the user's performance in each of the categories of Health Index 155 and presents suggestions for improvement.
  • Opening Health Manager web page 150 may also include a Daily Data section 159 that launches an input dialog box.
  • the input dialog box facilitates input by the user of the various data required by the Health Manager.
  • data entry may be in the form of selection from pre-defined lists or general free form text input.
  • opening Health Manager web page 150 may include Body Stats section 161 which may provide information regarding the user's height, weight, body measurements, body mass index or BMI, and vital signs such as heart rate, blood pressure or any of the identified physiological parameters.
  • Armband sensor device 400 includes computer housing 405 , flexible wing body 410 , and, as shown in FIG. 17 , elastic strap 415 .
  • Computer housing 405 and flexible wing body 410 are preferably made of a flexible urethane material or an elastomeric material such as rubber or a rubber-silicone blend by a molding process.
  • Flexible wing body 410 includes first and second wings 418 each having a thru-hole 420 located near the ends 425 thereof. First and second wings 418 are adapted to wrap around a portion of the wearer's upper arm.
  • Elastic strap 415 is used to removably affix armband sensor device 400 to the individual's upper arm. As seen in FIG. 17 , bottom surface 426 of elastic strap 415 is provided with Velcro loops 416 along a portion thereof. Each end 427 of elastic strap 415 is provided with Velcro hook patch 428 on bottom surface 426 and pull tab 429 on top surface 430 . A portion of each pull tab 429 extends beyond the edge of each end 427 .
  • a user inserts each end 427 of elastic strap 415 into a respective thru-hole 420 of flexible wing body 410 .
  • the user places his arm through the loop created by elastic strap 415 , flexible wing body 410 and computer housing 405 .
  • Velcro hook patches 428 can be engaged with Velcro loops 416 at almost any position along bottom surface 426 , armband sensor device 400 can be adjusted to fit arms of various sizes.
  • elastic strap 415 may be provided in various lengths to accommodate a wider range of arm sizes.
  • loops having the shape of the letter D may be attached to ends 425 of wings 418 by one of several conventional means.
  • a pin may be inserted through ends 425 , wherein the pin engages each end of each loop.
  • the D-shaped loops would serve as connecting points for elastic strap 415 , effectively creating a thru-hole between each end 425 of each wing 418 and each loop.
  • computer housing 405 includes a top portion 435 and a bottom portion 440 .
  • Contained within computer housing 405 are printed circuit board or PCB 445 , rechargeable battery 450 , preferably a lithium ion battery, and vibrating motor 455 for providing tactile feedback to the wearer, such as those used in pagers, suitable examples of which are the Model 12342 and 12343 motors sold by MG Motors Ltd. of the United Kingdom.
  • Top portion 435 and bottom portion 440 of computer housing 405 sealingly mate along groove 436 into which O-ring 437 is fit, and may be affixed to one another by screws, not shown, which pass through screw holes 438 a and stiffeners 438 b of bottom portion 440 and apertures 439 in PCB 445 and into threaded receiving stiffeners 451 of top portion 435 .
  • top portion 435 and bottom portion 440 may be snap fit together or affixed to one another with an adhesive.
  • the assembled computer housing 405 is sufficiently water resistant to permit armband sensor device 400 to be worn while swimming without adversely affecting the performance thereof.
  • bottom portion 440 includes, on a bottom side thereof, a raised platform 430 .
  • heat flow or flux sensor 460 a suitable example of which is the micro-foil heat flux sensor sold by RdF Corporation of Hudson, N.H.
  • Heat flux sensor 460 functions as a self-generating thermopile transducer, and preferably includes a carrier made of a polyamide film.
  • Bottom portion 440 may include on a top side thereof, that is on a side opposite the side to which heat flux sensor 460 is affixed, a heat sink, not shown, made of a suitable metallic material such as aluminum.
  • GSR sensors 465 are also affixed to raised platform 430 , preferably comprising electrodes formed of a material such as conductive carbonized rubber, gold or stainless steel. Although two GSR sensors 465 are shown in FIG. 13 , it will be appreciated by one of skill in the art that the number of GSR sensors 465 and the placement thereof on raised platform 430 can vary as long as the individual GSR sensors 465 , i.e., the electrodes, are electrically isolated from one another. By being affixed to raised platform 430 , heat flux sensor 460 and GSR sensors 465 are adapted to be in contact with the wearer's skin when armband sensor device 400 is worn.
  • Bottom portion 440 of computer housing 405 may also be provided with a removable and replaceable soft foam fabric pad, not shown, on a portion of the surface thereof that does not include raised platform 430 and screw holes 438 a .
  • the soft foam fabric is intended to contact the wearer's skin and make armband sensor device 400 more comfortable to wear.
  • heat flux sensor 460 GSR sensors 465 , and PCB 445 may be accomplished in one of various known methods.
  • suitable wiring may be molded into bottom portion 440 of computer housing 405 and then electrically connected, such as by soldering, to appropriate input locations on PCB 445 and to heat flux sensor 460 and GSR sensors 465 .
  • thru-holes may be provided in bottom portion 440 through which appropriate wiring may pass. The thru-holes would preferably be provided with a water tight seal to maintain the integrity of computer housing 405 .
  • heat flux sensor 460 and GSR sensors 465 may be affixed to the inner portion 466 of flexible wing body 410 on either or both of wings 418 so as to be in contact with the wearer's skin when armband sensor device 400 is worn.
  • electrical coupling between heat flux sensor 460 and GSR sensors 465 , whichever the case may be, and the PCB 445 may be accomplished through suitable wiring, not shown, molded into flexible wing body 410 that passes through one or more thru-holes in computer housing 405 and that is electrically connected, such as by soldering, to appropriate input locations on PCB 445 .
  • the thru-holes would preferably be provided with a water tight seal to maintain the integrity of computer housing 405 .
  • the wiring may be captured in computer housing 405 during an overmolding process, described below, and ultimately soldered to appropriate input locations on PCB 445 .
  • computer housing 405 includes a button 470 that is coupled to and adapted to activate a momentary switch 585 on PCB 445 .
  • Button 470 may be used to activate armband sensor device 400 for use, to mark the time an event occurred or to request system status information such as battery level and memory capacity.
  • momentary switch 585 closes a circuit and a signal is sent to processing unit 490 on PCB 445 .
  • the generated signal triggers one of the events just described.
  • Computer housing 405 also includes LEDs 475 , which may be used to indicate battery level or memory capacity or to provide visual feedback to the wearer. Rather than LEDs 475 , computer housing 405 may also include a liquid crystal display or LCD to provide battery level, memory capacity or visual feedback information to the wearer. Battery level, memory capacity or feedback information may also be given to the user tactily or audibly.
  • Armband sensor device 400 may be adapted to be activated for use, that is collecting data, when either of GSR sensors 465 or heat flux sensor 460 senses a particular condition that indicates that armband sensor device 400 has been placed in contact with the user's skin. Also, armband sensor device 400 may be adapted to be activated for use when one or more of heat flux sensor 460 , GSR sensors 465 , accelerometer 495 or 550 , or any other device in communication with armband sensor device 400 , alone or in combination, sense a particular condition or conditions that indicate that the armband sensor device 400 has been placed in contact with the user's skin for use. At other times, armband sensor device 400 would be deactivated, thus preserving battery power.
  • Computer housing 405 is adapted to be coupled to a battery recharger unit 480 shown in FIG. 19 for the purpose of recharging rechargeable battery 450 .
  • Computer housing 405 includes recharger contacts 485 , shown in FIGS. 12 , 15 , 16 and 17 , that are coupled to rechargeable battery 450 .
  • Recharger contacts 485 may be made of a material such as brass, gold or stainless steel, and are adapted to mate with and be electrically coupled to electrical contacts, not shown, provided in battery recharger unit 480 when armband sensor device 400 is placed therein.
  • the electrical contacts provided in battery recharger unit 480 may be coupled to recharging circuit 481 a provided inside battery recharger unit 480 .
  • recharging circuit 481 would be coupled to a wall outlet, such as by way of wiring including a suitable plug that is attached or is attachable to battery recharger unit 480 .
  • electrical contacts 480 may be coupled to wiring that is attached to or is attachable to battery recharger unit 480 that in turn is coupled to recharging circuit 481 b external to battery recharger unit 480 .
  • the wiring in this configuration would also include a plug, not shown, adapted to be plugged into a conventional wall outlet.
  • RF transceiver 483 adapted to receive signals from and transmit signals to RF transceiver 565 provided in computer housing 405 and shown in FIG. 20 .
  • RF transceiver 483 is adapted to be coupled, for example by a suitable cable, to a serial port, such as an RS 232 port or a USB port, of a device such as personal computer 35 shown in FIG. 1 .
  • a serial port such as an RS 232 port or a USB port
  • data may be uploaded from and downloaded to armband sensor device 400 using RF transceiver 483 and RF transceiver 565 . It will be appreciated that although RF transceivers 483 and 565 are shown in FIGS.
  • computer housing 405 may be provided with additional electrical contacts, not shown, that would be adapted to mate with and be electrically coupled to additional electrical contacts, not shown, provided in battery recharger unit 480 when armband sensor device 400 is placed therein.
  • the additional electrical contacts in the computer housing 405 would be coupled to the processing unit 490 and the additional electrical contacts provided in battery recharger unit 480 would be coupled to a suitable cable that in turn would be coupled to a serial port, such as an RS R32 port or a USB port, of a device such as personal computer 35 .
  • This configuration thus provides an alternate method for uploading of data from and downloading of data to armband sensor device 400 using a physical connection.
  • FIG. 20 is a schematic diagram that shows the system architecture of armband sensor device 400 , and in particular each of the components that is either on or coupled to PCB 445 .
  • PCB 445 includes processing unit 490 , which may be a microprocessor, a microcontroller, or any other processing device that can be adapted to perform the functionality described herein.
  • Processing unit 490 is adapted to provide all of the functionality described in connection with microprocessor 20 shown in FIG. 2 .
  • a suitable example of processing unit 490 is the Dragonball EZ sold by Motorola, Inc. of Schaumburg, Ill.
  • PCB 445 also has thereon a two-axis accelerometer 495 , a suitable example of which is the Model ADXL210 accelerometer sold by Analog Devices, Inc. of Norwood, Mass.
  • Two-axis accelerometer 495 is preferably mounted on PCB 445 at an angle such that its sensing axes are offset at an angle substantially equal to 45 degrees from the longitudinal axis of PCB 445 and thus the longitudinal axis of the wearer's arm when armband sensor device 400 is worn.
  • the longitudinal axis of the wearer's arm refers to the axis defined by a straight line drawn from the wearer's shoulder to the wearer's elbow.
  • the output signals of two-axis accelerometer 495 are passed through buffers 500 and input into analog to digital converter 505 that in turn is coupled to processing unit 490 .
  • GSR sensors 465 are coupled to amplifier 510 on PCB 445 .
  • Amplifier 510 provides amplification and low pass filtering functionality, a suitable example of which is the Model AD8544 amplifier sold by Analog Devices, Inc. of Norwood, Mass.
  • the amplified and filtered signal output by amplifier 510 is input into amp/offset 515 to provide further gain and to remove any bias voltage and into filter/conditioning circuit 520 , which in turn are each coupled to analog to digital converter 505 .
  • Heat flux sensor 460 is coupled to differential input amplifier 525 , such as the Model INA amplifier sold by Bun-Brown Corporation of Arlington, Ariz., and the resulting amplified signal is passed through filter circuit 530 , buffer 535 and amplifier 540 before being input to analog to digital converter 505 .
  • Amplifier 540 is configured to provide further gain and low pass filtering, a suitable example of which is the Model AD8544 amplifier sold by Analog Devices, Inc. of Norwood, Mass.
  • PCB 445 also includes thereon a battery monitor 545 that monitors the remaining power level of rechargeable battery 450 .
  • Battery monitor 545 preferably comprises a voltage divider with a low pass filter to provide average battery voltage.
  • processing unit 490 checks the output of battery monitor 545 and provides an indication thereof to the user, preferably through LEDs 475 , but also possibly through vibrating motor 455 or ringer 575 .
  • An LCD may also be used.
  • PCB 445 may include three-axis accelerometer 550 instead of or in addition to two-axis accelerometer 495 .
  • the three-axis accelerometer outputs a signal to processing unit 490 .
  • a suitable example of three-axis accelerometer is the ⁇ PAM product sold by I.M. Systems, Inc. of Scottsdale, Ariz.
  • Three-axis accelerometer 550 is preferably tilted in the manner described with respect to two-axis accelerometer 495 .
  • PCB 445 also includes RF receiver 555 that is coupled to processing unit 490 .
  • RF receiver 555 may be used to receive signals that are output by another device capable of wireless transmission, shown in FIG. 20 as wireless device 558 , worn by or located near the individual wearing armband sensor device 400 .
  • wireless device 558 may be a chest mounted heart rate monitor such as the Tempo product sold by Polar Electro of Oulu, Finland. Using such a heart rate monitor, data indicative of the wearer's heart rate can be collected by armband sensor device 400 .
  • Antenna 560 and RF transceiver 565 are coupled to processing unit 490 and are provided for purposes of uploading data to central monitoring unit 30 and receiving data downloaded from central monitoring unit 30 .
  • RF transceiver 565 and RF receiver 555 may, for example, employ Bluetooth technology as the wireless transmission protocol. Also, other forms of wireless transmission may be used, such as infrared transmission.
  • RF Transceiver 565 may be used for wirelessly uploading data from and wirelessly downloading data to armband sensor device 400 is advantageous because it eliminates the need to remove armband sensor device 400 to perform these functions, as would be required with a physical connection. For example, if armband sensor device 400 was being worn under the user's clothing, requiring removal of armband sensor device 400 prior to uploading and/or downloading data increases user inconvenience. In addition, the wearing of armband sensor device 400 has an effect on the user's skin and underlying blood vessels, which in turn may effect any measurements being made with respect thereto. It may be necessary for a period of time during which armband sensor device 400 is worn by the user to elapse before a steady state is achieved and consistent, accurate measurements can be made.
  • armband sensor device 400 By providing armband sensor device 400 with wireless communications capability, data can be uploaded and downloaded without disturbing an established steady state equilibrium condition. For example, programming data for processing unit 490 that controls the sampling characteristics of armband sensor device 400 can be downloaded to armband sensor device 400 without disturbing the steady state equilibrium condition.
  • antenna 560 and RF transceiver 565 permit armband sensor device 400 to communicate wirelessly with other devices capable of wireless communication, i.e., transmit information to and receive information from those devices.
  • the devices may include, for example, devices that are implanted in the body of the person using armband sensor device 400 , such as an implantable heart pacemaker or an implantable insulin dispensing device, for example the MiniMed® 2007 implantable insulin pump sold by MiniMed Inc. of Northridge, Calif., devices worn on the body of the person using armband sensor device 400 , or devices located near the person using armband sensor device 400 at any particular time, such as an electronic scale, a blood pressure monitor, a glucose monitor, a cholesterol monitor or another armband sensor device 400 .
  • armband sensor device 400 may be adapted to transmit information that activates or deactivates such a device for use or information that programs such a device to behave in a particular way.
  • armband sensor device 400 may be adapted to activate a piece of exercise equipment such as a treadmill and program it to operate with certain parameters that are dictated or desired by or optimal for the user of armband sensor device 400 .
  • armband sensor device 400 may be adapted to adjust a computer controlled thermostat in a home based on the detected skin temperature of the wearer or turn off a computer controlled lighting system, television or stereo when the wearer is determined to have fallen asleep.
  • Vibrating motor 455 is coupled to processing unit 490 through vibrator driver 570 and provides tactile feedback to the wearer.
  • ringer 575 a suitable example of which is the Model SMT916A ringer sold by Projects Unlimited, Inc. of Dayton, Ohio, is coupled to processing unit 490 through ringer driver 580 , a suitable example of which is the Model MMBTA14 CTI darlington transistor driver sold by Motorola, Inc. of Schaumburg, Ill., and provides audible feedback to the wearer.
  • Feedback may include, for example, celebratory, cautionary and other threshold or event driven messages, such as when a wearer reaches a level of calories burned during a workout.
  • momentary switch 585 is also coupled to button 470 for activating momentary switch 585 .
  • LEDs 475 used to provide various types of feedback information to the wearer, are coupled to processing unit 490 through LED latch/driver 590 .
  • Oscillator 595 is provided on PCB 445 and supplies the system clock to processing unit 490 .
  • Reset circuit 600 accessible and triggerable through a pin-hole in the side of computer housing 405 , is coupled to processing unit 490 and enables processing unit 490 to be reset to a standard initial setting.
  • Rechargeable battery 450 which is the main power source for the armband sensor device 400 , is coupled to processing unit 490 through voltage regulator 605 .
  • memory functionality is provided for armband sensor device 400 by SRAM 610 , which stores data relating to the wearer of armband sensor device 400 , and flash memory 615 , which stores program and configuration data, provided on PCB 445 .
  • SRAM 610 and flash memory 615 are coupled to processing unit 490 and each preferably have at least 512K of memory.
  • top portion 435 of computer housing 405 is preferably formed first, such as by a conventional molding process, and flexible wing body 410 is then overmolded on top of top portion 435 . That is, top portion 435 is placed into an appropriately shaped mold, i.e., one that, when top portion 435 is placed therein, has a remaining cavity shaped according to the desired shape of flexible wing body 410 , and flexible wing body 410 is molded on top of top portion 435 . As a result, flexible wing body 410 and top portion 435 will merge or bond together, forming a single unit.
  • top portion 435 of computer housing 405 and flexible wing body 410 may be formed together, such as by molding in a single mold, to form a single unit. The single unit however formed may then be turned over such that the underside of top portion 435 is facing upwards, and the contents of computer housing 405 can be placed into top portion 435 , and top portion 435 and bottom portion 440 can be affixed to one another.
  • flexible wing body 410 may be separately formed, such as by a conventional molding process, and computer housing 405 , and in particular top portion 435 of computer housing 405 , may be affixed to flexible wing body 410 by one of several known methods, such as by an adhesive, by snap-fitting, or by screwing the two pieces together.
  • FIG. 21 a block diagram of an alternate embodiment of the present invention is shown.
  • This alternate embodiment includes stand alone sensor device 700 which functions as an independent device, meaning that it is capable of collecting and/or generating the various types of data described herein in connection with sensor device 10 and sensor device 400 and providing analytical status data to the user without interaction with a remotely located apparatus such as central monitoring unit 30 .
  • Stand alone sensor device 700 includes a processor that is programmed and/or otherwise adapted to include the utilities and algorithms necessary to create analytical status data from the data indicative of various physiological and/or contextual parameters of the user, the data derived therefrom, and the data input by the user, all of which is stored in and accessed as needed from memory provided in stand alone sensor device 700 .
  • Stand alone sensor device 700 may comprise sensor device 10 shown in FIGS. 1 and 2 that includes microprocessor 20 and memory 22 or armband sensor device 400 shown in FIGS. 12-17 that includes processing unit 490 and SRAM 610 .
  • stand alone sensor device 700 may include one or more physiological sensors 705 as described herein for facilitating the collection of data indicative of various physiological parameters of the user.
  • Stand alone sensor device 700 may also include one or more contextual sensors 710 as described herein for facilitating the collection of data indicative of various contextual parameters of the user.
  • stand alone sensor device 700 may be adapted to enable the manual entry of data by the user.
  • stand alone sensor device 700 may include a data input button, such as a button 470 of armband sensor device 400 , through which a user could manually enter information such as information relating to various life activities of the user as described herein or information relating to the operation and/or control of stand alone sensor device 700 , for example, the setting of reminders or alerts as described herein.
  • a data input button such as a button 470 of armband sensor device 400
  • button 470 may simply record or time stamp that an event such as a meal has occurred, with the wearer needing to assign a meaning to that time stamp through data entry at a later time.
  • activation of button 470 in certain sequences such as one activation, two successive activations, three successive activations, etc., can be preset to have different specific meanings.
  • stand alone sensor device 700 may include a more sophisticated means for manual entry of information such as a keypad, a touch screen, a microphone, or a remote control device, for example a remote control device incorporated into a wristwatch.
  • the processor of stand alone sensor device 700 would be provided with well known voice recognition software or the like for converting the input speech into usable data.
  • information comprising data indicative of various physiological and/or contextual parameters and data derived therefrom may be input into stand alone sensor device 700 through interaction with other devices.
  • information such as handshake data or data indicative of various physiological and/or contextual parameters and data derived therefrom may be output from stand alone sensor device 700 to such other devices.
  • the interaction is in the form of wireless communication between stand alone sensor device 700 and another device capable of wireless communication by way of a wireless transceiver provided in stand alone sensor device 700 , such as wireless transceiver 565 shown and described in connection with FIG. 20 .
  • the device-to-device interaction may, as shown by reference number 720 , be explicit, meaning that the user of stand alone sensor device 700 has knowingly initiated the interaction.
  • a user may activate a button on a scale to upload data to stand alone sensor device 700 .
  • the device-to-device interaction may also, as shown by reference number 725 , be hidden, meaning that the user of stand alone sensor device 700 does not knowingly initiate the interaction.
  • a gym may have a sensor that wirelessly transmits a signal to sensing device 700 when the user enters and leaves the gym to time stamp when the user began and ended a workout.
  • information may be output or transmitted from stand alone sensor device 700 in a number of ways.
  • Such information may include the data indicative of various physiological parameters and/or contextual parameters, the data derived therefrom, the data manually input by the user, the analytical status data, or any combination thereof.
  • information may be output or transmitted in an audible fashion such as by a series of tones or beeps or a recorded voice by a device such as a speaker, in a visual fashion such as by one or more LEDs, or in a tactile fashion such as by vibration.
  • stand alone sensor device 700 may be adapted to output a tone or tones, light an LED or LEDs, or vibrate as a reminder for an event, such as a reminder to eat or exercise at a particular time, or when a goal has been reached, such as a target number of calories burned during a workout, or a condition has been sensed, such as ovulation.
  • stand alone sensor device 700 may be provided with a more sophisticated visual output means such as an LCD similar to those found on commercially available cell phones, pagers and personal digital assistants. With an LCD or a similar device and the expanded visual output capabilities it would provide, stand alone sensor device 700 may be adapted to output or transmit some or all of the information described in connection with FIGS.
  • stand alone sensor device 700 could provide analytical status data in the form of the Health Index to the user.
  • stand alone sensor device 700 may be coupled to computing device 750 such as a personal computer, a cell phone, a pager, a personal digital assistant, another stand alone sensor device 700 or any other device having a processor by either wired connection 755 or wireless connection 760 .
  • computing device 750 such as a personal computer, a cell phone, a pager, a personal digital assistant, another stand alone sensor device 700 or any other device having a processor by either wired connection 755 or wireless connection 760 .
  • battery recharger unit 480 shown in FIG. 19 may be used to provide the wired connection 755 or wireless connection 760 .
  • the display of the computing device could be used to visually output information from stand alone sensor device 700 .
  • computing device 750 since computing device 750 includes a sophisticated output means such as an LCD, it may be used to output or transmit to the user some or all of the information described in connection with FIGS. 5 through 11 , such as the Health Index, in the same or a similar format.
  • computing device 750 may in turn be used to control other devices, such as the lights or thermostat in a home, based on data output by stand alone sensor device 700 , such as the fact that the wearer has fallen asleep or the fact that the wearer's skin temperature has reached a certain level.
  • stand alone sensor device 700 and in particular its processor, may be adapted to cause a computing device 750 to trigger an event upon detection of one or more physiological and/or contextual conditions by stand alone sensor device 700 .
  • stand alone sensor device 700 may be adapted to cause a computing device 750 to trigger an event based upon information received from another computing device 750 .
  • Stand alone sensor device 700 may be adapted to interact with and influence an interactive electronic media device, such as a video game, or non-interactive electronic media device, such as on a display device such as a DVD or digital video disc player playing a digitally recorded movie.
  • stand alone sensor device 700 may be adapted to transmit information relating to the physiological state of the wearer to the video game, which in turn adjusts the characteristics of the game, such as the level of difficulty.
  • stand alone sensor device 700 may be adapted to transmit information relating to the physiological state of the wearer to the device displaying the digitally recorded movie which in turn adjusts the characteristics, such as the outcome, of the movie.
  • stand alone sensor device 700 may include location sensing device 765 , such as an ultrasonic or a radio-frequency identification tag, for enabling a computing device 750 to detect the geographic location of stand alone sensor device 700 , such as the location of stand alone sensor device 700 within a defined space such as a building.
  • a location indication causes computing device 750 to trigger an event, such as lowering the temperature in a room corresponding to the indicated location, preferably based on the detection by stand alone sensor device 700 of one or more physiological conditions of the wearer, such as skin temperature.
  • the location indication causes computing device 750 to trigger an event, such as lowering the temperature in a room corresponding to the indicated location, if stand alone sensor device 700 detects one or more physiological conditions, such as a skin temperature of the wearer being above a certain level.
  • the input means of the is computing device such as the mouse and keyboard of a personal computer, the keypad of a cell phone or pager, or the touch screen of a personal digital assistant, may be used to manually input information into stand alone sensor device 700 .
  • the different modes of output may be used in combination to provide different types and levels of information to a user.
  • stand alone sensor device 700 could be worn by an individual while exercising and an LED or a tone can be used to signal that a goal of a certain number of calories burned has been reached.
  • the user could then transmit additional data wirelessly from stand alone sensor device 700 to a computing device 750 such as a cell phone after he or she is finished exercising to view data such as heart rate and/or respiration rate over time.
  • computing device 750 could be so programmed.
  • stand alone sensor device 700 collects and/or generates the data indicative of various physiological and/or contextual parameters of the user, the data manually input by the user, and/or data input as a result of device-to-device interaction shown at 720 and 725 , all of which is stored in the memory provided in stand alone sensor device 700 .
  • This data is then periodically uploaded to computing device 750 which in turn generates derived data and/or analytical status data.
  • the processor of stand alone sensor device 700 could be programmed to generate the derived data with computing device 750 being programmed and/or otherwise adapted to include the utilities and algorithms necessary to create analytical status data based on data indicative of one or more physiological and/or contextual parameters, data derived therefrom, data manually input by the user and/or data input as a result of device-to-device interaction shown at 720 and 725 uploaded from stand alone sensor device 700 .
  • the processor of stand alone sensor device 700 could be programmed and/or otherwise adapted to include the utilities and algorithms necessary to create analytical status data based on data indicative of one or more physiological and/or contextual parameters, data derived therefrom, data manually input by the user and/or data input as a result of device-to-device interaction shown at 720 and 725 uploaded from stand alone sensor device 700 with computing device 750 being programmed to generate the derived data.
  • any or all of the data indicative of physiological and/or contextual parameters of the user, the data derived therefrom, the data manually input by the user, the data input as a result of device-to-device interaction shown at 720 and 725 and the analytical status data may then be viewed by the user using the output means of the programmed computing device 750 or another computing device 750 to which the data is downloaded.
  • the analytical status data may also be output by stand alone sensor device 700 as described herein.
  • Computing device 750 in these alternative embodiments may be connected to an electronic network, such as the Internet, to enable it to communicate with central monitoring unit 30 or the like.
  • the programming of computing device 750 that enables it to generate the derived data and/or the analytical status data may, with such a configuration, be modified or replaced by downloading the relevant data to computing device 750 over the electronic network.
  • computing device 750 may be provided with a custom written plug-in adapted to provide data display functionality through use of a well known browser program.
  • stand alone sensor device 700 collects and/or generates the data indicative of various physiological and/or contextual parameters of the user, the derived data, the data input by the user, data input as a result of device-to-device interaction shown at 720 and 725 , and/or analytical status data based thereon and uploads this data to computing device 750 .
  • the plug-in provided in computing device 750 then generates appropriate display pages based on the data which may be viewed by the user using the browser provided with computing device 750 .
  • the plug-in may be modified/updated from a source such as central monitoring unit 30 over an electronic network such as the Internet.
  • Sensor device 800 may be a specific embodiment of either sensor device 10 described in connection with FIGS. 1-11 or stand alone sensor device 700 described in connection with FIG. 21 .
  • Sensor device 800 includes housing 805 affixed to flexible section 810 , which is similar to flexible wing body 410 shown in FIGS. 12-17 .
  • Flexible section 810 is adapted to engage, such as by wrapping around or conforming to, at least a portion of the human body, such as the upper arm, to enable sensor device 800 , in combination with a removable strap 811 inserted through slots 812 provided in flexible section 810 , to be worn on the body.
  • flexible section 810 is made of a material having a durometer of between 75 and 85 Shore A.
  • Flexible section 810 may take on a variety of shapes and may be made of a cloth material, a flexible plastic film, or an elastic material having an adhesive similar in structure to a Band-Aide disposable adhesive bandage.
  • housing 805 is permanently affixed to flexible section 810 , such as by an over molding or co-molding process, through the use of an adhesive material, or by a fastening mechanism such as one or more screws.
  • Housing 805 includes top portion 815 affixed to bottom portion 820 by any known means, including, for example, an adhesive material, screws, snap fittings, sonic welding, or thermal welding.
  • a watertight seal is provided between top portion 815 and bottom portion 820 .
  • Such a water-tight seal is provided when sonic welding or thermal welding is used.
  • an O-ring could be provided between top portion 815 and bottom portion 820 to create the water-tight seal.
  • GSR sensors 825 affixed to bottom portion 820 of housing 805 are GSR sensors 825 .
  • GSR sensors 825 measure the conductivity of the skin between two points and may comprise electrodes formed of a material such as stainless steel, gold or a conductive carbonized rubber.
  • GSR sensors 825 have an oblong, curved shape as shown in FIG. 23 , much like a kidney bean shape, that allows some portion of GSR sensors 825 to maintain contact with the body even if sensor device 800 is rocking or otherwise moving while being worn.
  • GSR sensors 825 include raised bumps 830 , or some other three-dimensional textured surface, along the surface thereof to perturb the skin and push between hairs to ensure good contact with the skin.
  • raised bumps 830 provide channels for the movement of sweat underneath sensor device 800 , rather than trapping sweat, no matter the orientation of sensor device with respect to the body.
  • heat flux skin interface component 835 and skin temperature skin interface component 840 are a material having thermal conduction properties of at least 12.9 W/mK, such as 304 stainless steel.
  • GSR sensors 825 are spaced at least 0.44 inches apart from one another, and at least 0.09 inches apart from heat flux skin interface component 835 and skin temperature skin interface component 840 .
  • GSR sensors 825 , heat flux skin interface component 835 and skin temperature skin interface component 840 are adapted to be in contact with the wearer's skin when sensor device 800 is worn, and facilitate the measurement of GSR, heat flux from the body and skin temperature data. As can be seen most readily in FIGS.
  • heat flux ambient interface component 845 and ambient temperature interface component 850 which also are made of a thermally conductive material such as stainless steel, preferably a material having thermal conduction properties of at least 12.9 W/mK, such as 304 stainless steel.
  • Heat flux ambient interface component 845 and ambient temperature interface component 850 facilitate the measurement of heat flux from the body and ambient temperature, respectively, by providing a thermal interface to the surrounding environment.
  • holes 855 are provided in flexible section 810 to expose heat flux ambient interface component 845 and ambient temperature interface component 850 to the ambient air.
  • holes 855 are sized so that flexible section 810 occludes as little skin as possible in the regions surrounding heat flux ambient interface component 845 and ambient temperature interface component 850 so as to allow air flowing off of the skin of the wearer to pass these components.
  • GSR Sensors 825 , heat flux, skin interface component 835 , skin temperature skin interface component 840 , or any other sensing component that comes into contact with the skin may be provided with a plurality of microneedles for, among other things, enhancing electrical contact with the skin and providing real time access to interstitial fluid in and below the epidermis, which access may be used to measure various parameters such as pH level of the skin through electrochemical, impedance based or other well known methods.
  • Microneedles enhance electrical contact by penetrating the stratum corneum of the skin to reach the epidermis.
  • Such microneedles are well known in the art and may be made of a metal or plastic material. Prior art microneedles are described in, for example, U.S. Pat. No. 6,312,612 owned by the Procter and Gamble Company. Based on the particular application, the number, density, length, width at the point or base, distribution and spacing of the microneedles will vary.
  • FIG. 26 which is a cross-section taken along lines A-A in FIG. 22 , the internal components of sensor device 800 , housed within housing 805 , are shown.
  • Printed circuit board or PCB 860 is affixed to top portion 815 of housing 805 and receives and supports the electronic components provided inside housing 805 .
  • contacts 865 are attached to a bottom side of PCB 860 and electronically coupled to GSR sensors 825 , which preferably comprise gold plated contact pins such as the Pogo® contacts available from Everett Charles Technologies in Pomona, Calif.
  • skin temperature thermistor 870 is also affixed to the bottom side of PCB 860 , a suitable example of which is the model 100K6D280 thermistor manufactured by BetaTherm Corporation in Shrewsbury, Mass.
  • Skin temperature thermistor 870 is, according to a preferred embodiment, thermally coupled to skin temperature skin interface component 840 by a thermally conductive interface material 875 .
  • Thermally conductive interface material 875 may be any type of thermally conductive interface known in the art, including, for example, thermally conductive gap fillers, thermally conductive phase change interface materials, thermally conductive tapes, thermally conductive cure-in-place compounds or epoxies, and thermal greases.
  • Suitable thermally conductive interface materials include a boron nitride filled expanded polytetrafluoroethylene matrix sold under the trademark PolarChip CP8000 by W. L. Gore & Associates, Inc. and a boron nitride and alumina filled silicone elastomer on an adhesive backed 5 mil. (0.013 cm) thick aluminum foil carrier called A574, which is available from the Chomerics division of Parker Hannefin Corp. located in Woburn, Mass.
  • near-body ambient temperature thermistor 880 a suitable example of which is the model NTHS040ZN0IN100KJ thermistor manufactured by Vishay Intertechnology, Inc. in Malvern, Pa.
  • Near-body ambient temperature thermistor 880 is thermally coupled to ambient temperature interface component 850 by thermally conductive interface material 875 .
  • a preferred embodiment of sensor device 800 includes a particular embodiment of an apparatus for measuring heat flux between a living body and the ambient environment described in U.S. Pat. No. 6,595,929 B2 owned by the assignee hereof, the disclosure of which is incorporated herein by reference in its entirety.
  • heat conduit 885 is provided within housing 805 .
  • the term heat conduit refers to one or more heat conductors which are adapted to singly or jointly transfer heat from one location to another, such as a conductor made of stainless steel.
  • Heat conduit 885 is thermally coupled to heat flux skin interface component 835 by thermally conductive interface material 875 .
  • PCB 860 Provided on the bottom side of PCB 860 is a first heat flux thermistor 890 A, and provided on the top side of PCB 860 is a second heat flux thermistor 890 B.
  • PCB 860 acts as a base member for supporting these components. It will be appreciated that a base member separate and apart from PCB 860 may be substituted therefor as an alternative configuration.
  • a suitable example of both heat flux thermistors 890 A and 890 B is the model 100K6D280 thermistor manufactured by BetaTherm Corporation in Shrewsbury, Mass. Heat flux Thermistor 890 A and 890 B are soldered to pads provided on PCB 860 .
  • the second heat flux thermistor 890 B is thermally coupled to heat flux ambient interface 845 by thermally conductive interface material 875 .
  • PCB 860 is made of a rigid or flexible material, such as a fiberglass, having a preselected, known thermal resistance or resistivity K.
  • the heat flux off of the body of the wearer can be determined by measuring a first voltage VI with heat flux thermistor 890 A and a second voltage V2 with heat flux thermistor 890 B. These voltages are then electrically differenced, such as by using a differential amplifier, to provide a voltage value that, as is well known in the art, can be used to calculate the temperature difference (T2 ⁇ T1) between the top and bottom sides of PCB 860 .
  • Heat flux can then be calculated according to the following formula:
  • PCB 860 and heat flux thermistors 890 A and 890 B are thus a form of a heat flux sensor
  • One advantage of the configuration of the apparatus for measuring heat flux shown in FIG. 26 is that, due to the vertical orientation of the components, assembly of the apparatus for measuring heat flux, and thus sensor device 800 as a whole, is simplified. Also adding to the simplicity is the fact that thermally conductive interface materials that include a thin adhesive layer on one or both sides may be used for thermally conductive interface materials 875 , enabling components to be adhered to one another.
  • thermistors 890 A and 890 B are relatively inexpensive components, as compared to an integral heat flux sensor such as those commercially available from RdF Corporation of Hudson, N.H., thereby reducing the cost of sensor device 800 .
  • heat flux thermistors 890 A and 890 B are described as being provided on PCB 860 in the embodiment shown in FIG. 26 , it will be appreciated that any piece of material having a known resistivity K may be used.
  • other temperature measuring devices known in the art such as a thermocouple or thermopile, may be substituted for heat flux thermistors 890 A and 890 B.
  • heat conduit 885 may be omitted such that thermal communication between heat flux thermistor 890 A and heat flux skin interface component 835 is provided by one or more pieces of thermally conductive interface material 875 .
  • heat flux skin interface component 835 may be omitted such that thermal communication between heat flux thermistor 890 A and the skin is provided by either or both of heat conduit 885 and one or more pieces of thermally conductive interface material 875 .
  • the combination of one or more of heat conduit 885 , one or more pieces of thermally conductive interface material 875 , and heat flux skin interface component 835 act as a thermal energy communicator for placing heat flux thermistor 890 A in thermal communication with the body of the wearer of sensor device 800 .
  • FIG. 27 is a schematic diagram that shows an embodiment of the system architecture of sensor device 800 , and in particular each of the components that is either provided on or coupled to PCB 860 .
  • PCB 860 includes processing unit 900 , which may be a microprocessor, a microcontroller, or any other processing device that can be adapted to perform the functionality described herein, in particular the functionality described in connection with microprocessor 20 shown in FIG. 2 , processing unit 490 shown in FIG. 20 , or stand alone sensor device 700 shown in FIG. 21 .
  • processing unit 900 is the Dragonball EZ sold by Motorola, Inc. of Schaumburg, Ill.
  • accelerometer 905 which may be either a two-axis or a three-axis accelerometer.
  • a suitable example of a two-axis accelerometer is the Model ADXL202 accelerometer sold by Analog Devices, Inc.
  • A/D converter 915 input analog to digital, referred to as A/D, converter 915 that in turn is coupled to processing unit 900 .
  • GSR sensors 825 are coupled to A/D converter 915 through current loop 920 , low pass filter 925 , and amplifier 930 .
  • Current loop 920 comprises an opamp and a plurality of resistors, and applies a small, fixed current between the two GSR sensors 825 and measures the voltage across them. The measured voltage is directly proportional to the resistance of the skin in contact with the electrodes.
  • heat flux thermistors 890 A and 890 B are coupled to A/D converter 915 and processing unit 900 , where the heat flux calculations are performed, through low pass filter 935 and amplifier 940 .
  • Battery monitor 945 preferably comprising a voltage divider with low pass filter to provide average battery voltage, monitors the remaining power level of rechargeable battery 950 .
  • Rechargeable battery 950 is preferably a LiIon/LiPolymer 3.7 V Cell.
  • Rechargeable battery 950 which is the main power source for sensor device 800 , is coupled to processing unit 900 through voltage regulator 955 .
  • Rechargeable battery 950 may be recharged either using recharger 960 or USB cable 965 , both of which may be coupled to sensor device 800 through USB interface 970 .
  • USB interface 970 is hermetically sealable, such as with a removable plastic or rubber plug, to protect the contacts of USB interface 970 when not in use.
  • PCB 860 further includes skin temperature thermistor 870 for sensing the temperature of the skin of the wearer of sensor device 800 , and near-body ambient temperature thermistor 880 for sensing the ambient temperature in the area near the body of the wearer of sensor device 800 .
  • skin temperature thermistor 870 for sensing the temperature of the skin of the wearer of sensor device 800
  • near-body ambient temperature thermistor 880 for sensing the ambient temperature in the area near the body of the wearer of sensor device 800 .
  • Each of these components is biased and coupled to processing unit 900 through A/D converter 915 .
  • PCB 860 may include one or both of an ambient light sensor and an ambient sound sensor, shown at 975 in FIG. 27 , coupled to A/D converter 915 .
  • the ambient light sensor and ambient sound sensor may be adapted to merely sense the presence or absence of ambient light or sound, the state where a threshold ambient light or sound level has been exceeded, or a reading reflecting the actual level of ambient light or sound.
  • PCB 860 may include ECG sensor 980 , including two or more electrodes, for measuring the heart rate of the wearer, and impedance sensor 985 , also including a plurality of electrodes, for measuring the impedance of the skin of the wearer.
  • Impedance sensor 985 may also be an EMG sensor which gives an indication of the muscular activity of the wearer.
  • ECG sensor 980 or impedance sensor 985 may be dedicated electrodes for such sensors, or may be the electrodes from GSR sensors 825 multiplexed for appropriate measurements.
  • ECG sensor 980 and impedance sensor 985 are each coupled to A/D converter 915 .
  • PCB 860 further includes RF transceiver 990 , coupled to processing unit 900 , and antenna 995 for wirelessly transmitting and receiving data to and from wireless devices in proximity to sensor device 800 .
  • RF transceiver 990 and antenna 995 may be used for transmitting and receiving data to and from a device such as a treadmill being used by a wearer of sensor device 800 or a heart rate monitor worn by the wearer of sensor device 800 , or to upload and download data to and from a computing device such as a PDA or a PC.
  • RF transceiver 990 and antenna 995 may be used to transmit information to a feedback device such as a bone conductivity microphone worn by a fireman to let the fireman know if a condition that may threaten the fireman's safety, such as hydration level or fatigue level, has been sensed by sensor device 800 .
  • a feedback device such as a bone conductivity microphone worn by a fireman to let the fireman know if a condition that may threaten the fireman's safety, such as hydration level or fatigue level, has been sensed by sensor device 800 .
  • stand along sensor device 700 may be coupled to computing device 750 to enable data to be communicated therebetween.
  • RF transceiver 990 and antenna 995 may be used to couple sensor device 800 to a computing device such as computing device 750 shown in FIG. 21 .
  • Such a configuration would enable sensor device 800 to transmit data to and receive data from the computing device 750 , for example a computing device worn on the wrist.
  • the computing device could be used to enable a user to input data, which may then be stored therein or transmitted to sensor device 800 , and to display data, including data transmitted from sensor device 800 .
  • the configuration would also allow for computing tasks to be divided between sensor device 800 and computing device 750 , referred to herein as shared computing, as described in detail in connection with FIG. 21 .
  • PCB 860 may include proximity sensor 1000 which is coupled to processing unit 900 for sensing whether sensor device 800 is being worn on the body.
  • Proximity sensor 1000 may also be used as a way to automatically power on and off sensor device 800 .
  • Proximity sensor preferably comprises a capacitor, the electrical capacitance of which changes as sensor device 800 gets closer to the body.
  • PCB 860 may also include sound transducer 1005 , such as a ringer, coupled to processing unit 900 through driver 1010 .
  • Sensor device 800 may also be provided with sensors in addition to those shown in FIG. 27 , such as those taught by U.S. Pat. No. 5,853,005, the disclosure of which is incorporated herein by reference.
  • the '005 patent teaches a sound transducer coupled to a pad containing an acoustic transmission material. The pad and sound transducer may be used to sense acoustic signals generated by the body which in turn may be converted into signals representative of physiological parameters such as heart rate or respiration rate.
  • a sensing apparatus as taught by the '005 patent may be provided separate from sensor device 800 and be coupled, wired or wirelessly, to sensor device 800 .
  • the sound or acoustic transducer is preferably a piezoelectric, electret, or condenser-based hydrophone, similar to those used by the Navy in sonar applications, but can be any other type of waterproof pressure and motion sensing type of sensor.
  • the sensing apparatus as taught by the '005 patent is an example of what shall be referred to herein as a non-ECG heart parameter sensor, meaning that it has the following two qualities: (1) it does not need to make measurements across the torso using at least two contacts separated by some distance; and (2) it does not measure electrical activity of the heart.
  • the sensing apparatus as taught by the '005 patent has been shown to be capable of detecting heart rate information and information relating to individual beats of the heart with high reliability under certain circumstances, depending primarily on factors including the proximity of the apparatus to the heart, the level of ambient noise, and motion related sound artifacts caused by the movement of the body. As a result, the sensing apparatus as taught by the '005 patent is most reliable when worn in an ambient environment with a low level of ambient noise and when the body is not moving.
  • sensor device 800 is able to improve the reliability and accuracy of an acoustic-based non-ECG heart parameter sensor 1012 such as the sensing apparatus as taught by the '005 patent that is incorporated therein or coupled thereto.
  • sensor device 800 is particularly suited to be worn on the upper arm.
  • the upper arm is a good location for a sensor device 800 having an acoustic-based non-ECG heart parameter sensor 1012 incorporated therein because it is near the heart and provides a space for sensor device that allows it to be unobtrusive and comfortable to wear.
  • ambient sound sensor shown at 975 in FIG.
  • the acoustic-based non-ECG heart parameter sensor 1012 may be used to filter out ambient noise from the signals detected by the acoustic-based non-ECG heart parameter sensor 1012 in order to isolate the sound signals originating from the body. Filtering of the signal produced by an acoustic-based non-ECG heart parameter sensor 1012 such as the sensing apparatus as taught by the '005 patent in this manner may be used both in the case where such an apparatus is incorporated in sensor device 800 and in the case where it is separated from but coupled to sensor device 800 as described above. Furthermore, the sound generated from the motion of the body that is not created by the heart can be accounted for and adjusted for through the use of a sensor or sensors that detect or that may be used to identify body sounds generated as a result of motion of the body, such as accelerometer 905 shown in FIGS.
  • accelerometer 905 may function as a footfall indicator. Accelerometer 905 may thus be used to filter or subtract out from the signal detected by the acoustic-based non-ECG heart parameter sensor 1012 signals related sound motion artifacts caused by the movement of the body such as by footfalls.
  • Sensor device 800 may also be used to put parameters around and provide a context for the readings made by a non-ECG heart parameter sensor 1012 so that inaccurate readings can be identified and compensated for.
  • sensor device 800 may be used to detect real time energy expenditure of the wearer as well as the type of activity in which the wearer is engaging, such as running or riding a bike.
  • the energy expenditure and activity type information can be used to provide a context in which the heart related parameters detected by the non-ECG heart parameter sensor 1012 can be assessed and possibly filtered.
  • sensor device 800 detects that a person is burning 13 calories per minute and is biking, and the non-ECG heart parameter sensor 1012 is indicating that the wearer's heart rate is 60 beats per minute, then it is highly likely that further filtration of the signal from the non-ECG heart parameter sensor 1012 is necessary.
  • non-ECG heart parameter sensing devices include, for example, those based on micro-power impulse radar technology, those based on the use of piezo-electric based strain gauges, and those based on plethysmography, which involves the measurement of changes in the size of a body part as modified by the circulation of blood in that part. It will be appreciated that the performance of these devices may also be enhanced through the use of data integration as described herein.
  • Another sensor that may be incorporated into the sensor device 800 measures the pressure with which sensor device 800 is held against the body of the wearer.
  • a sensor could be capacitive or resistive in nature.
  • One such instantiation places a piezo-resistive strain gauge on the back of the enclosure to measure the small deflection of the plastic as increasing force is applied. Data gathered from such a sensor can be used to compensate the readings of other sensors in sensor device 800 according to the readings of such as a sensor.
  • switch 1015 is also coupled to button 1020 provided on housing 805 .
  • Button 1020 by activating switch 1015 , may be used to enter information into sensor device 800 , such as a time stamp to mark the occurrence of an event such taking medication.
  • button 1020 has a tactile, positive d-tent feedback when depressed, and a concave shape to prevent accidental depression.
  • flexible section 810 includes membrane 1022 that covers and seals button 1020 . In the embodiments shown in FIGS.
  • a similar membrane 1022 may be provided on flexible section 810 , and, preferably, also on housing 805 such that button 1020 is sealed when housing 805 is removed from flexible section 810 .
  • a hole may be provided in flexible section 810 exposing button 1020 and membrane 1022 when housing 805 is attached to flexible section 810 .
  • LCDs and/or LEDs 1025 coupled to processing unit 900 on PCB 860 are LCDs and/or LEDs 1025 for outputting information to the wearer.
  • FIG. 28 shows an alternate embodiment of sensor device 800 in which LCD 1025 is provided on a top face of housing 805 .
  • sensor device 800 may include a prior art electrochemical display that retains its ability to display information even when power is no longer being provided thereto.
  • Such a display is described in U.S. Pat. No. 6,368,287 B1, the disclosure of which is incorporated herein by reference, and includes a plurality of markers comprising a miniature heating element and a coating of heat sensitive material. When current is passed through one of the heating elements, it heats up, thereby inducing a change in the color of the coating material. The color change is permanent, even after the heating element cools down.
  • Such displays are relatively inexpensive and thus are well adapted for use in embodiments of sensor device 800 that are designed to be disposable, possibly single use, items.
  • Oscillator 1030 is provided on PCB 860 and supplies the system clock to processing unit 900 .
  • Reset circuit 1035 is coupled to processing unit 900 and enables processing unit to be reset to a standard initial setting.
  • non-volatile data storage device 1040 such as a FLASH memory chip, is provided for storing information collected and/or generated by sensor device 800 .
  • data storage device 1040 includes at least 128K of memory.
  • Non-volatile program storage device 1045 such as a FLASH ROM chip, is provided for storing the programs required to operate sensor device 800 .
  • a microprocessor with integral A/D converters, data storage, and program storage may be substituted for processing unit 900 , A/D converter 915 , data storage device 1040 and non-volatile memory 1045 .
  • a suitable example of such a microprocessor is the Texas Instruments Model MSP430 processor.
  • Any component forming a part of sensor device 800 that comes in contact with the wearer's skin should not, in a preferred embodiment, degrade in durometer, elasticity, color or other physical or chemical properties when exposed to skin oils, perspiration, deodorant, suntan oils or lotions, skin moisturizers, perfume or isopropyl alcohol.
  • such components preferably are hypoallergenic.
  • FIG. 29 shows an alternate embodiment of PCB 860 in which rechargeable battery 950 , voltage regulator 955 , recharger 960 and USB cable 965 have been replaced by disposable AAA battery 1050 and boost converter 1055 .
  • Boost converter 1055 uses an inductor to boost the voltage of AAA battery 1050 to the 3.0-3.3 V required to run the electronics on PCB 860 .
  • a suitable boost converter 1055 is the model MAX 1724 sold by Maxim Integrated Products, Inc. of Sunnydale, Calif.
  • housing 805 is removably attached to flexible section 810 .
  • housing 805 is provided with groove 1060 along the outer edge thereof which is adapted to receive therein tongue 1065 provided on the bottom side of flexible section 810 for securely but removably attaching housing 805 to flexible section 810 .
  • tongue 1065 provided on the bottom side of flexible section 810 for securely but removably attaching housing 805 to flexible section 810 .
  • housing 805 may thus be readily popped in and out of flexible section 810 .
  • Such a configuration enables housing 805 to be readily attached to multiple flexible sections having sizes and shapes that are different than flexible section 810 as long as the flexible section includes a tongue similar to tongue 1065 .
  • Such alternate flexible sections may be sized and shaped to fit on particular parts of the body, such as the calf or thigh, and may comprise a garment such as a shirt having the tongue or tongues located in places of interest, such as the upper arm or upper left chest, the latter enabling housing 805 to be positioned over the heart of the wearer, as shown in FIGS. 40A and 40B .
  • U.S. Pat. No. 6,527,711 owned by the assignee of the present application and incorporated herein by reference, identifies several locations on the body that are particularly well adapted to receive particularly sized and shaped sensor devices so as to avoid interference with the motion and flexibility of the body.
  • groove 1060 and tongue 1065 may be swapped such that groove 1060 is provided in flexible section 810 and tongue 1065 is provided on housing 805 .
  • multiple alternative structures exist for securely but removably attaching housing 805 to flexible section 810 .
  • These alternative structures include, without limitation, temporary adhesives, screws, a tight fit between having 805 and flexible section 810 that holds the two together by friction, magnets provided in each of housing 805 and flexible section 810 , well-known snaps and snapping mechanisms, a threaded portion provided on housing 805 adapted to be received by threads in flexible section 810 , an O-ring or similar elastic band adapted to fit around a portion of flexible section 810 and into a groove provided in housing 805 when flexible section 810 is placed over housing 805 , or merely pressure when housing 805 is placed on the body and flexible section 810 is placed thereover and attached to the body such as by strap 811 .
  • temporary adhesives screws
  • a tight fit between having 805 and flexible section 810 that holds the two together by friction magnets provided in each of housing 805 and flexible section 810
  • well-known snaps and snapping mechanisms well-known snaps and snapping mechanisms
  • a threaded portion provided on housing 805 adapted to be received by threads in flexible section 810
  • flexible section 810 comprises and elastic or similar band that is adapted to fit into a groove 1062 provided in housing 805 .
  • Housing 805 and flexible section 810 may then be placed on the body and held in place by strap 811 or the like inserted through gaps 1064 between housing 805 and flexible section 810 .
  • FIG. 33 shows an alternate embodiment of sensor device 800 as shown in FIGS. 30 and 31 that is adapted to automatically adjust or alter the operating parameters of sensor device 800 , such as its functionality, settings or capabilities, depending on the particular flexible section to which housing 805 is attached.
  • a parameter such as energy expenditure
  • the calculation of a parameter, such as energy expenditure may depend on information that is particular each individual, such as age, height, weight, and sex. Rather than having each individual enter that information in sensor device 800 each time he or she wants to wear the device, each individual that is going to wear the device could enter the information once and have their own flexible section that causes sensor device to make measurements based on his or her particular information.
  • the memory in sensor device 800 for storage of user data may be divided into several compartments, one for each user, so as to avoid co-mingling of user data.
  • Sensor device 800 may be adapted to alter where collected data is stored depending on the particular flexible section that is being used.
  • sensor device 800 may be calibrated and recalibrated differently over time depending on the particular flexible section to which housing 805 is attached as it learns about each particular wearer and his or her habits, demographics and/or activities.
  • housing 805 is provided with first magnetic switch 1070 and second magnetic switch 1075 , each on PCB 860 .
  • magnet 1080 Provided on or inside flexible section 810 , such as by an insert molding technique, is magnet 1080 .
  • Magnet 1080 is positioned on or inside flexible section 810 such that it aligns with and thereby activates one of first magnetic switch 1080 and second magnetic switch 1075 when housing 805 is attached to flexible section 810 .
  • second magnetic switch 1075 will be activated.
  • a second flexible section 810 similar to flexible section 810 shown in FIG. 33 will also be provided, the difference being that the magnet 1080 provided therewith will be positioned such that first magnetic switch 1070 is activated when housing 805 , the same housing 805 shown in FIG.
  • Housing 805 and in particular processing unit 900 , may be programmed to alter its functionality, settings or capabilities depending on which one of first magnetic switch 1070 and second magnetic switch 1075 is activated, i.e., which particular flexible section 810 is being used.
  • housing 805 may be programmed to operate with functionality, settings or capabilities particular to the husband when first magnetic switch 1070 is activated, and with functionality, settings or capabilities particular to the wife when second magnetic switch 1075 is activated. Although only two magnetic switches are shown in FIG.
  • multiple magnetic switches and multiple flexible sections may be used to allow sensor device 800 to be programmed for multiple wearers, such as an entire family, with each family member having his or her own flexible section.
  • multiple flexible sections may be provided that are adapted to be worn on different parts of the body, each having a magnet placed in a different location.
  • Housing 805 may then be programmed to have functionality, settings or capabilities particular to the type of sensing to be done on each different part of the body, with magnetic switches placed so as to be activated when housing 805 is attached to the appropriate flexible section.
  • Sensor device 800 according to this embodiment is thus a “smart” device.
  • first and second magnetic switches 1070 and 1075 and magnet 1080 may be used to provide the functionality described in connection with FIG. 33 .
  • Such alternatives include, without limitation, mechanical switches provided in housing 805 that are activated by a protruding portion, such as a pin, provided at a particular location on flexible section 810 , optical switches comprising an array of light sensors provided in housing 805 that are activated when the surrounding light is blocked, reflected or filtered in a particular way with one or more translucent sections and a single opaque, reflective or filtering section being selectively provided on flexible section 810 at particular locations, the translucent sections not activating the corresponding optical switches and the opaque, reflective or filtering section activating the corresponding optical switch, electronic switches provided in housing 805 activated by a conductor provided in particular locations in flexible section 810 .
  • housing 805 may be provided with multiple switches and each flexible section 810 may be provided with one or more switch activators positioned to activate certain selected switches.
  • the operating parameters of housing 805 would in this embodiment be adapted to change depending upon the particular set of one or more switches that are activated. This embodiment thus employs an encoding scheme to alter the operating parameters of housing 805 depending on which flexible section 810 is used.
  • housing 805 may be provided with a single switch adapted to alter the operating parameters of housing 805 depending upon the way in which or state in which it is activated, such as by the properties of the switch activators.
  • the switch may be a magnetic switch that is activated a plurality of different ways depending upon the magnetic level or strength of the magnet provided in each flexible section 810 .
  • a plurality of flexible sections 810 could then be provided, each having a magnet of a different strength.
  • any particular flexible section 810 may be provided with a plurality of magnets having different strengths with each magnet being able to activate the switch in housing 805 in a different manner.
  • Such a flexible section 810 would be able to selectively trigger different operating parameters of housing 805 , such as by rotating a portion of flexible wing 805 to align a particular magnet with the switch.
  • the switch could be an electrical switch and the switch activators could be conductors having different resistances. The switch would, in this embodiment, be activated in different ways depending on the measured resistance of the switch activator that closes the circuit.
  • housing 805 may be provided with adhesive material 1085 on a back side thereof to enable housing 805 to be removably attached to selected portions of the body, such as the upper left chest over the heart, without flexible section 810 .
  • Adhesive material 1085 may be any well-known adhesive that would securely attach housing 805 to the body and enable it to be worn for a period of time, but that would also readily enable housing 805 to be removed from the body after use.
  • Adhesive material 1085 may comprise, for example, a double sided adhesive foam backing that would allow for comfortable attachment of housing 805 to the body.
  • housing 805 may be made of a well-known flexible plastic film or the like, such as that taught in U.S. Pat. No. 6,368,287 B1, the disclosure of which is incorporated herein by reference, that would, due to low cost, enable sensor device 800 to be disposable.
  • a disposable sensor device may also include an electrochemical display described above to enhance its disposability.
  • sensor device 800 would include one or more sensors described herein for sensing heart related parameters such as heart rate, beat-to-beat or interbeat variability, ECG or EKG, pulse oximetry, heart sounds, such as detected with a microphone, and mechanical action of the heart, such as detected with ultrasound or micro-pulse radar devices.
  • FIGS. 35A-H and 36 A-H illustrate aspects of the present invention relating to the ergonomic design of sensor device 800 .
  • a housing 1100 of a prior art sensor device having a rectangular cross-section is shown resting on the body 1110 of a wearer of the prior art sensor device.
  • body 1110 flexes and forms a concavity, as may happen many times each minute on various parts of the body or for extended periods of time depending on the position of various body parties during particular activities, a significant portion of housing 1100 is caused to be removed from body 1110 .
  • housing 1100 When housing 1100 is caused to be removed in this manner, the ability of the prior art sensor device to accurately make measurements and collect data will be jeopardized, especially for any readings to be taken near the center of the cross-section indicated by the arrows in FIG. 35B .
  • FIGS. 35C-H illustrate a cross-section of housing 805 of sensor device 800 taken along lines C-C shown in FIG. 23 according to various aspects of the present invention.
  • the cross-section shown in FIGS. 35C-H is taken near the middle portion of housing 805 shown in FIG. 23 between GSR sensors 825 .
  • bottom surface 1115 of housing 805 is provided with a generally convex shape such that, when body 1110 flexes and forms a concavity, a substantial portion of bottom surface 1115 of housing 805 remains in contact with body 1110 by fitting into the concavity.
  • FIG. 35C illustrate a cross-section of housing 805 of sensor device 800 taken along lines C-C shown in FIG. 23 according to various aspects of the present invention.
  • the cross-section shown in FIGS. 35C-H is taken near the middle portion of housing 805 shown in FIG. 23 between GSR sensors 825 .
  • bottom surface 1115 of housing 805 is provided with a generally convex shape such that, when body 1110
  • FIG. 35G wherein the lateral ends 1120 A and 1120 B of housing 805 are provided with radiused portions 1125 A and 1125 B, respectively adjacent to and including opposite lateral ends of bottom surface 1115 .
  • Radiused portions 1125 A and 1125 B enable housing 805 to sit lower and fit into the concavity created when body 1110 flexes to an extreme degree.
  • radiused portions 1125 A and 1125 B provide for more comfortable wear as they eliminate sharp edges 1130 A and 1130 B shown in FIG. 35F that contact body 1110 .
  • FIG. 35H shows how body 1110 will tend to conform to the shape of housing 805 due at least in part to the viscosity of the skin when body 1110 is in a relaxed condition.
  • FIG. 36A shows a cross-section of housing 1100 of prior art sensor device taken along a line perpendicular to the line on which the cross-section shown in FIGS. 35A and 35B was taken.
  • FIG. 36A when housing 1100 is placed on a convex portion of body 1110 , significant portions of housing 1100 , specifically the lateral ends thereof indicated by the arrows in FIG. 36A , are not in contact body 1110 .
  • FIGS. 36B-H show a cross-section of housing 805 according to various aspects of the present invention taken along lines D-D shown in FIG. 23 . As seen in FIG.
  • bottom surface 1115 of housing 805 is provided with a generally concave shape adapted to receive the convex portion of body 1110 .
  • lateral ends 1130 A and 1130 B may be provided with radiused portions 1135 A and 1135 B adjacent to and including opposite lateral ends of bottom surface 1115 , which allow housing 805 to rest in closer contact with body 1110 , even when body 1110 flexes to an extreme degree, i.e., more than the anticipated maximum that it was designed for, and remove sharp edges 1140 A and 1140 B shown in FIG. 36B , providing for more comfortable wear.
  • body 1110 will tend to conform to the shape of housing 805 when body 1110 is in a relaxed condition.
  • FIGS. 36E and 36F good contact with body 1110 is maintained at the points illustrated by the arrows when body 1110 is flexed in a manner that decreases the convex shape thereof or that creates a convexity therein.
  • sensors or sensing elements at the points indicated by the arrows because those points will tend to remain in contact with body 1110 .
  • FIGS. 36G and 36H showing, for example, heat flux skin interface component 835 and skin temperature skin interface component 840 placed at the points indicated by the arrows, illustrate this point. As seen in FIGS. 36G and 36H , there is more than point contact between body 1110 and skin temperature skin interface component 840 .
  • FIG. 37 is an isometric view of housing 805 according to an embodiment of the present invention in which bottom surface 1115 has both the generally convex shape shown in FIGS. 35C-H and the generally concave shape shown in FIGS. 36B-H .
  • bottom surface 1115 which is the inner surface of housing 805 for mounting adjacent to the body of the wearer, includes a longitudinal axis 1141 and a transverse axis 1142 .
  • Bottom surface 1 ′ 15 has a generally concave shape having an axis of concavity 1143 that is coincident with longitudinal axis 1141 , meaning that it runs in a first direction from first lateral end 1144 of inner surface 1115 to second lateral end 1145 of inner surface 1115 .
  • Bottom surface 1115 has a generally convex shape having an axis of convexity 1146 that is coincident with transverse axis 1142 , meaning that it runs in a second direction from third lateral end 1147 of inner surface 1115 to fourth lateral end 1148 of inner surface 1115 .
  • first and second directions, and longitudinal axis 1141 and transverse axis 1142 are generally perpendicular to one another.
  • housing 805 having a flat top surface 1150 and flat lateral ends 1130 A and 1130 B may tend to be jostled and bumped by object 1155 , such as a wall or door or the corner or edge of a drawer, cabinet or desk, thereby moving housing 805 on body 1110 because such flat surfaces are not well adapted to deflect object 1155 . Movement of housing 805 on body 1110 will detrimentally effect the ability of sensor device 800 to accurately make measurements and collect data.
  • FIGS. 39A-G illustrate various aspects of the present invention that are adapted to deflect object 1155 and substantially prevent movement of housing 805 on body 1110 . In addition, the forms shown in FIGS.
  • housing 805 may have tapered sides 1160 A and 1160 B such that the width of housing 805 decreases in the direction from bottom surface 1115 to top surface 1150 .
  • top surface 1150 of housing 805 may have a convex shape.
  • housing 805 may be provided with radiused portions 1165 A and 1165 B that meet with radiused portions 1135 A and 1135 B such that the lateral ends of housing 805 have a substantially semicircular shape. As shown in FIG.
  • housing 805 may have both tapered sides 1160 A and 1160 B and a top surface 1150 with a convex shape.
  • FIG. 39E is a modification of housing 805 shown in FIG. 39E in which the points 1170 A and 1170 B where radiused portions 1135 A and 1135 B meet tapered sides 1160 A and 1160 B, respectively, are themselves radiused.
  • FIG. 39F is a variation of housing 805 shown in FIG. 39E having elongated tapered sides 1160 A and 1160 B.
  • FIG. 39G shows how the ability of housing 805 , such as the embodiment shown in FIG. 39E , to deflect object 1155 may be enhanced by the addition of flexible section 810 having a substantially convex outer surface.
  • an air channel is provided between flexible section 810 and body 1110 to allow for heat to flow away from body 1110 .

Abstract

The invention comprises an apparatus for determining the contextual or physiological status of the individual wearing the apparatus. The apparatus is designed to be consumable or disposable. In most embodiments the invention comprises an adhesive housing. In some embodiments, two different sensors are secured to the housing. The apparatus is in electronic communication with a processing unit that can derive analytical status data by using the data received from the two sensors. In some embodiments, the processing unit is programmed to control other devices, or is programmed to trigger an event. In still other embodiments, the apparatus is in electronic communication with a separate computing device, which may contain the processing unit.

Description

    RELATED APPLICATION DATA
  • This application is a continuation of U.S. patent application Ser. No. 10/227,575 filed on Aug. 22, 2002.
  • FIELD OF THE INVENTION
  • The present invention also relates to a number of embodiments of an apparatus which includes one or more sensors for collecting data relating to an individual's physiological state and various contextual parameters. Specifically, an apparatus containing two sensors that is capable of being disposed of after use.
  • BACKGROUND OF THE INVENTION
  • Research has shown that a large number of the top health problems in society are either caused in whole or in part by an unhealthy lifestyle. More and more, our society requires people to lead fast-paced, achievement-oriented lifestyles that often result in poor eating habits, high stress levels, lack of exercise, poor sleep habits and the inability to find the time to center the mind and relax. Recognizing this fact, people are becoming increasingly interested in establishing a healthier lifestyle.
  • Traditional medicine, embodied in the form of an HMO or similar organizations, does not have the time, the training, or the reimbursement mechanism to address the needs of those individuals interested in a healthier lifestyle. There have been several attempts to meet the needs of these individuals, including a perfusion of fitness programs and exercise equipment, dietary plans, self-help books, alternative therapies, and most recently, a plethora of health information web sites on the Internet. Each of these attempts are targeted to empower the individual to take charge and get healthy. Each of these attempts, however, addresses only part of the needs of individuals seeking a healthier lifestyle and ignores many of the real barriers that most individuals face when trying to adopt a healthier lifestyle. These barriers include the fact that the individual is often left to himself or herself to find motivation, to implement a plan for achieving a healthier lifestyle, to monitor progress, and to brainstorm solutions when problems arise; the fact that existing programs are directed to only certain aspects of a healthier lifestyle, and rarely come as a complete package; and the fact that recommendations are often not targeted to the unique characteristics of the individual or his life circumstances.
  • SUMMARY OF THE INVENTION
  • An apparatus is disclosed for detecting human physiological or contextual information from the body of an individual wearing the apparatus. The apparatus includes a flexible section that is adapted to engage a portion of the wearer's body, and a housing that is removably attached to the flexible section. The housing supports one or more physiological and/or contextual sensors and a processor in electrical communication with the sensors. According to one embodiment, the apparatus may include multiple flexible sections that may be selectively attached to the housing. The apparatus may also have operating parameters that are adjustable depending on the particular flexible section that is attached to the housing at a particular time. The operating parameters, for example, may be adjusted through the interaction of a switch or switches provided on or in the housing and a switch activator or switch activators provided on or in each of the flexible sections. Various structures for removably attaching the housing to the flexible section are described, including, but no limited to, tongues and grooves, adhesives, magnets, and elastic bands. The apparatus may also include a wireless transceiver for transmitting information to and receiving information from a computing device.
  • Also described is an apparatus that is adapted to measure heat flux between the body of the wearer and the ambient environment. The apparatus includes a housing and a base member having a preselected, known resistivity mounted within the housing. The base member may comprise a printed circuit board. A first temperature measuring device is attached to a first side of the base member and a second temperature measuring device is attached to a second side of the base member. The temperature measuring devices may comprise, for example, a thermistor, a thermocouple, or a thermopile. The apparatus further includes a thermal energy communicator mounted between a portion of the body of the wearer and the first temperature measuring device. The thermal energy communicator may include one or more of a heat conduit, a thermally conductive interface material or materials, and a thermally conductive interface component in various combinations. The second temperature measuring device is in thermal communication with the ambient environment. The apparatus may include a thermal interface material and/or a thermally conductive interface component for providing thermal communication between the ambient environment and the second temperature measuring device. A processing unit is provided in the housing and is in electrical communication with the temperature measuring devices. The apparatus may further include a flexible section attached to the housing adapted to engage a portion of the body of the wearer, or a plurality of flexible sections adapted to be selectively attached to the housing. According to one embodiment, the apparatus has operating parameters that may be adjusted depending on the particular flexible section that is attached to the housing.
  • An apparatus for detecting, monitoring and reporting at least one of human physiological and contextual information from the body of a wearer is also described. The apparatus includes a housing having an adhesive material on at least a portion of an external surface thereof that enables the housing to be removably attached to a portion of the body of the wearer. At least two physiological and/or contextual sensors are supported by the housing. The physiological sensors are adapted to facilitate the generation of data indicative of one or more physiological parameters of the wearer and the contextual sensors are adapted to facilitate the generation of data indicative of one or more contextual parameters of the wearer. A processor is also included and is an electrical communication with the sensors. The processor generates: (i) derived data from at least one of at least a portion of the data indicative of physiological parameters and at least a portion of the data indicative of contextual parameters; and (ii) analytical status data from at least a portion of at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data. The apparatus further includes an electronic memory for retrievably storing at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data. The apparatus is adapted to transmit to the wearer at least one of the data indicative of physiological parameters, the data indicative of contextual parameters, the derived data and the analytical status data. The housing may be made of a rigid material or a flexible material, such as a flexible plastic film. The apparatus may include a number of displays for transmitting information, including, but not limited to, an LED or an electrochemical display. The apparatus may further include a wireless transceiver for receiving information from and transmitting information to a computing device. The processor of the apparatus and the computing device may be adapted to engage in shared computing. Furthermore, a computing device may be included in the apparatus for transmitting information to the wearer. The computing device may be coupled to the processor, and the processor may be adapted to cause the computing device to trigger an event upon detection of one or more physiological conditions of the individual. The apparatus may further include various structures for manually entering information into the apparatus, such as a button or a touch pad or keyboard provided on the apparatus or on a computing device coupled to the processor. According to one embodiment, the apparatus monitors the degree to which the wearer has followed a predetermined routine. In this embodiment, the analytical status data comprises feedback to the individual relating to the degree to which the individual has followed the predetermined routine, with the feedback being generated from at least a portion of at least one of the data indicative of one or more physiological parameters of the individual, the derived data, and manually entered data. Also described is an apparatus for detecting human physiological or contextual information from the body of an individual wearing the apparatus that includes a housing having an inner surface for mounting adjacent the body and an outer surface opposite the inner surface. The inner surface includes a longitudinal axis and a transverse axis, with the inner surface being generally concave in a first direction and having an axis of concavity coincident with the longitudinal axis and generally convex in a second direction perpendicular to the first direction and having an axis of concavity coincident with the transverse axis. The inner surface may have first and second lateral ends at opposite ends of the axis of concavity, and the housing may have a first radiused portion adjacent to and including the first lateral end and a second radiused portion adjacent to and including the second lateral end. The inner surface may also have third and fourth lateral ends at opposite ends of the axis of convexity, and the housing may have a third radiused portion adjacent to and including the third lateral end and a fourth radiused portion adjacent to and including the fourth lateral end. Further, the outer surface of the housing may have a convex shape between a first lateral side and a second lateral side of the outer surface. According to one embodiment, the housing includes a width dimension as measured between a first lateral side and a second lateral side of the housing, with at least a portion of the first lateral side and second lateral side each having a taper such that the width dimension generally decreases in a direction from the inner surface to the outer surface. The apparatus may include a flexible section attached to the housing that engages the body of the wearer and has a generally convex outer surface.
  • Also described is an apparatus for detecting from the body of a wearer parameters relating to the heart of the wearer including an acoustic-based non-ECG heart parameter sensor that generates a first signal including a first acoustic component generated from the motion of the wearers heart and a second acoustic component generated from non-heart related motion of the body of the wearer, such as, for example, from footfalls. The apparatus also includes one or more filtering sensors, such as an accelerometer, for generating a second signal related to the non-heart related motion of the body. The second signal is used to subtract the second acoustic component from the first signal to generate a third signal, with the third signal being used to generate the heart related parameters. The first signal may also include an acoustic component generated from ambient noise, and the apparatus may include an ambient noise sensor. In this configuration, the signal form the ambient noise sensor is used to subtract out the acoustic component generated from ambient noise from the signal that is used to generate the heart related parameters.
  • In addition, a method is disclosed for detecting from the body of a wearer parameters relating to the heart of the wearer. The method comprises steps of generating a first acoustic signal including a first acoustic component generated from the motion of the wearer's heart and a second acoustic component generated from non-heart related motion of the body of the wearer, generating a second signal related to the non-heart related motion of the body, generating a third signal by using the second signal to subtract the second acoustic component from the first signal, and generating the heart related parameters from the third signal. The first acoustic signal may further include a third acoustic component generated from ambient noise and the method may further comprise generating a fourth signal related to the ambient noise with the step of generating the third signal further comprising using the fourth signal to subtract the third acoustic component from the first signal.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • Further features and advantages of the present invention will be apparent upon consideration is of the following detailed description of the present invention, taken in conjunction with the following drawings, in which like reference characters refer to like parts, and in which:
  • FIG. 1 is a diagram of an embodiment of a system for monitoring physiological data and lifestyle over an electronic network according to the present invention;
  • FIG. 2 is a block diagram of an embodiment of the sensor device shown in FIG. 1;
  • FIG. 3 is a block diagram of an embodiment of the central monitoring unit shown in FIG. 1;
  • FIG. 4 is a block diagram of an alternate embodiment of the central monitoring unit shown in FIG. 1;
  • FIG. 5 is a representation of a preferred embodiment of the Health Manager web page according to an aspect of the present invention;
  • FIG. 6 is a representation of a preferred embodiment of the nutrition web page according to an aspect of the present invention;
  • FIG. 7 is a representation of a preferred embodiment of the activity level web page according to an aspect of the present invention;
  • FIG. 8 is a representation of a preferred embodiment of the mind centering web page according to an aspect of the present invention;
  • FIG. 9 is a representation of a preferred embodiment of the sleep web page according to an aspect of the present invention;
  • FIG. 10 is a representation of a preferred embodiment of the daily activities web page according to an aspect of the present invention;
  • FIG. 11 is a representation of a preferred embodiment of the Health Index web page according to an aspect of the present invention;
  • FIG. 12 is a front view of a specific embodiment of the sensor device shown in FIG. 1;
  • FIG. 13 is a back view of a specific embodiment of the sensor device shown in FIG. 1;
  • FIG. 14 is a side view of a specific embodiment of the sensor device shown in FIG. 1;
  • FIG. 15 is a bottom view of a specific embodiment of the sensor device shown in FIG. 1;
  • FIGS. 16 and 17 are front perspective views of a specific embodiment of the sensor device shown in FIG. 1;
  • FIG. 18 is an exploded side perspective view of a specific embodiment of the sensor device shown in FIG. 1;
  • FIG. 19 is a side view of the sensor device shown in FIGS. 12 through 18 inserted into a battery recharger unit;
  • FIG. 20 is a block diagram illustrating all of the components either mounted on or coupled to the printed circuit board forming a part of the sensor device shown in FIGS. 12 through 18; and
  • FIG. 21 is a block diagram of an apparatus for monitoring health, wellness and fitness according to an alternate embodiment of the present invention.
  • FIG. 22 is a front view of an alternate embodiment of a sensor device according to the present invention;
  • FIG. 23 is a back view of an alternate embodiment of a sensor device according to the present invention;
  • FIG. 24 is a cross-sectional view of the sensor device shown in FIG. 22 taken along lines A-A;
  • FIG. 25 is a cross-sectional view of the sensor device shown in FIG. 22 taken along lines B-B;
  • FIG. 26 is a cross-sectional view of the sensor device shown in FIG. 22 taken along lines A-A showing the internal components of the housing of the sensor device;
  • FIG. 27 is a block diagram illustrating the components mounted on or coupled to the printed circuit board forming a part of an embodiment of the sensor device shown in FIGS. 22 through 26;
  • FIG. 28 is a front view of an alternate embodiment of a sensor device according to the present invention including an LCD;
  • FIG. 29 is a block diagram illustrating the components mounted on or coupled to the printed circuit board forming a part of an alternate embodiment of the sensor device shown in FIGS. 22 through 26;
  • FIGS. 30 and 31 are isometric views of an alternate embodiment of a sensor device according to the present invention having a housing adapted to be removably attached to a flexible section;
  • FIG. 32 is an isometric view of a further alternate embodiment of a sensor device according to the present invention having a housing adapted to be removably attached to a flexible section;
  • FIG. 33 is an isometric view of an embodiment of a sensor device having adjustable operating parameters according to an aspect of the present invention;
  • FIG. 34 is an isometric view of an alternate embodiment of a sensor device according to the present invention having a housing having an adhesive material on an external surface thereof for removably attaching the housing to the body;
  • FIGS. 35A and B are cross-sectional views of a housing for a prior art sensor device; FIG. 35C through H are cross-sectional views of various embodiments of a housing for a sensor device according to an aspect of the present invention taken along lines C-C in FIG. 23.
  • FIG. 36A is a cross-sectional view of a housing for a prior art sensor device;
  • FIGS. 36B through H are cross-sectional views of various embodiments of a housing for a sensor device according to an aspect of the present invention taken along lines D-D in FIG. 23;
  • FIG. 37 is an isometric view of an embodiment of a housing for a sensor device according to the present invention having a bottom or inner surface having a concavity in one direction and a convexity in another direction;
  • FIGS. 38A through D are cross-sectional views of a housing for a sensor device having a flat top surface and flat lateral ends;
  • FIGS. 39A through F are cross-sectional views of various embodiments of a housing for a sensor device having surfaces designed to deflect objects and prevent movement of the housing; and
  • FIG. 39G is a cross-sectional view of the housing shown in FIG. 39E attached to a flexible section.
  • FIG. 40A is an elevational drawing of the sensor device mounted within a garment on the upper arm of a wearer.
  • FIG. 40B is an elevational drawing of the sensor device mounted within a garment on the left chest area of a wearer.
  • DESCRIPTION OF THE PREFERRED EMBODIMENTS
  • In general, according to the present invention, data relating to the physiological state, the lifestyle and certain contextual parameters of an individual is collected and transmitted, either subsequently or in real-time, to a site, preferably remote from the individual, where it is stored for later manipulation and presentation to a recipient, preferably over an electronic network such as the Internet. Contextual parameters as used herein means parameters relating to the environment, surroundings and location of the individual, including, but not limited to, air quality, sound quality, ambient temperature, global positioning and the like. Referring to FIG. 1, located at user location 5 is sensor device 10 adapted to be placed in proximity with at least a portion of the human body. Sensor device 10 is preferably worn by an individual user on his or her body, for example as part of a garment such as a form fitting shirt, or as part of an arm band or the like. Sensor device 10, includes one or more sensors, which are adapted to generate signals in response to physiological characteristics of an individual, and a microprocessor. Proximity as used herein means that the sensors of sensor device 10 are separated from the individual's body by a material or the like, or a distance such that the capabilities of the sensors are not impeded.
  • Sensor device 10 generates data indicative of various physiological parameters of an individual, such as the individual's heart rate, pulse rate, beat-to-beat heart variability, EKG or ECG, respiration rate, skin temperature, core body temperature, heat flow off the body, galvanic skin response or GSR, EMG, EEG, EOG, blood pressure, body fat, hydration level, activity level, oxygen consumption, glucose or blood sugar level, body position, pressure on muscles or bones, and UV radiation exposure and absorption. In certain cases, the data indicative of the various physiological parameters is the signal or signals themselves generated by the one or more sensors and in certain other cases the data is calculated by the microprocessor based on the signal or signals generated by the one or more sensors. Methods for generating data indicative of various physiological parameters and sensors to be used therefor are well known. Table 1 provides several examples of such well known methods and shows the parameter in question, the method used, the sensor device used, and the signal that is generated. Table 1 also provides an indication as to whether further processing based on the generated signal is required to generate the data.
  • TABLE 1
    Further
    Proc-
    Parameter Method Sensor Signal essing
    Heart Rate EKG 2 Electrodes DC Voltage Yes
    Pulse Rate BVP LED Emitter Change in Yes
    and Optical Resistance
    Sensor
    Beat-to-Beat Heart Rate 2 Electrodes DC Voltage Yes
    Variability
    EKG Skin Surface 3-10 Electrodes DC Voltage No
    Potentials
    Respiration Chest Volume Strain Gauge Change in Yes
    Rate Change Resistance
    Skin Surface Thermistors Change in Yes
    Temperature Temperature Resistance
    Probe
    Core Esophageal or Thermistors Change in Yes
    Temperature Rectal Probe Resistance
    Heat Flow Heat Flux Thermopile DC Voltage Yes
    Galvanic Skin Skin 2 Electrodes Change in No
    Response Conductance Resistance
    EMG Skin Surface 3 Electrodes DC Voltage No
    Potentials
    EEG Skin Surface Multiple DC Voltage Yes
    Potentials Electrodes
    EOG Eye Thin Film DC Voltage Yes
    Movement Piezoelectric
    Sensors
    Blood Non- Electronic Change in Yes
    Pressure Invasive Sphygro- Resistance
    Korotkuff marometer
    Sounds
    Body Fat Body 2 Active Change in Yes
    Impedance Electrodes Impedance
    Activity in Body Accelerometer DC Voltage, Yes
    Interpreted G Movement Capacitance
    Shocks per Changes
    Minute
    Oxygen Oxygen Electro- DC Voltage Yes
    Consumption Uptake chemical Change
    Glucose Level Non- Electro- DC Voltage Yes
    Invasive chemical Change
    Body Position N/A Mercury DC Voltage Yes
    (e.g. supine, Switch Change
    erect, sitting) Array
    Muscle N/A Thin Film DC Voltage Yes
    Pressure Piezoelectric Change
    Sensors
    UV Radiation N/A UV Sensitive DC Voltage Yes
    Absorption Photo Cells Change
  • The types of data listed in Table 1 are intended to be examples of the types of data that can be generated by sensor device 10. It is to be understood that other types of data relating to other parameters can be generated by sensor device 10 without departing from the scope of the present invention.
  • The microprocessor of sensor device 10 may be programmed to summarize and analyze the data. For example, the microprocessor can be programmed to calculate an average, minimum or maximum heart rate or respiration rate over a defined period of time, such as ten minutes. Sensor device 10 may be able to derive information relating to an individual's physiological state based on the data indicative of one or more physiological parameters. The microprocessor of sensor device 10 is programmed to derive such information using known methods based on the data indicative of one or more physiological parameters. Table 2 provides examples of the type of information that can be derived, and indicates some of the types of data that can be used therefor.
  • TABLE 2
    Derived Information Data Used
    Ovulation Skin temperature, core temperature, oxygen
    consumption
    Sleep onset/wake Beat-to-beat variability, heart rate, pulse rate,
    respiration rate, skin temperature, core temperature,
    heat flow, galvanic skin response, EMG, EEG,
    EOG, blood pressure, oxygen consumption
    Calories burned Heart rate, pulse rate, respiration rate, heat flow,
    activity, oxygen consumption
    Basal metabolic rate Heart rate, pulse rate, respiration rate, heat flow,
    activity, oxygen consumption
    Basal temperature Skin temperature, core temperature
    Activity level Heart rate, pulse rate, respiration rate, heat flow,
    activity, oxygen consumption
    Stress level EKG, beat-to-beat variability, heart rate, pulse rate,
    respiration rate, skin temperature, heat flow,
    galvanic skin response, EMG, EEG, blood
    pressure, activity, oxygen consumption
    Relaxation level EKG, beat-to-beat variability, heart rate, pulse rate,
    respiration rate, skin temperature, heat flow, galvanic
    skin response, EMG, EEG, blood pressure, activity,
    oxygen consumption
    Maximum oxygen EKG, heart rate, pulse rate, respiration rate, heat
    consumption rate flow, blood pressure, activity, oxygen consumption
    Rise time or the time Heart rate, pulse rate, heat flow,
    it takes to rise from oxygen consumption
    a resting rate to 85%
    of a target maximum
    Time in zone or the Heart rate, pulse rate, heat flow,
    time heart rate was oxygen consumption
    above 85% of a
    target maximum
    Recovery time or the Heart rate, pulse rate, heat flow,
    time it takes heart rate oxygen consumption
    to return to a resting
    rate after heart rate
    was above 85% of a
    target maximum
  • Additionally, sensor device 10 may also generate data indicative of various contextual parameters relating to the environment surrounding the individual. For example, sensor device 10 can generate data indicative of the air quality, sound level/quality, light quality or ambient temperature near the individual, or even the global positioning of the individual. Sensor device 10 may include one or more sensors for generating signals in response to contextual characteristics relating to the environment surrounding the individual, the signals ultimately being used to generate the type of data described above. Such sensors are well known, as are methods for generating contextual parametric data such as air quality, sound level/equality, ambient temperature and global positioning.
  • FIG. 2 is a block diagram of an embodiment of sensor device 10. Sensor device 10 includes at least one sensor 12 and microprocessor 20. Depending upon the nature of the signal generated by sensor 12, the signal can be sent through one or more of amplifier 14, conditioning circuit 16, and analog-to-digital converter 18, before being sent to microprocessor 20. For example, where sensor 12 generates an analog signal in need of amplification and filtering, that signal can be sent to amplifier 14, and then on to conditioning circuit 16, which may, for example, be a band pass filter. The amplified and conditioned analog signal can then be transferred to analog-to-digital converter 18, where it is converted to a digital signal. The digital signal is then sent to microprocessor 20. Alternatively, if sensor 12 generates a digital signal, that signal can be sent directly to microprocessor 20.
  • A digital signal or signals representing certain physiological and/or contextual characteristics of the individual user may be used by microprocessor 20 to calculate or generate data indicative of physiological and/or contextual parameters of the individual user. Microprocessor 20 is programmed to derive information relating to at least one aspect of the individual's physiological state. It should be understood that microprocessor 20 may also comprise other forms of processors or processing devices, such as a microcontroller, or any other device that can be programmed to perform the functionality described herein.
  • The data indicative of physiological and/or contextual parameters can, according to one embodiment of the present invention, be sent to memory 22, such as flash memory, where it is stored until uploaded in the manner to be described below. Although memory 22 is shown in FIG. 2 as a discrete element, it will be appreciated that it may also be part of microprocessor 20. Sensor device 10 also includes input/output circuitry 24, which is adapted to output and receive as input certain data signals in the manners to be described herein. Thus, memory 22 of the sensor device 10 will build up, over time, a store of data relating to the individual user's body and/or environment. That data is periodically uploaded from sensor device 10 and sent to remote central monitoring unit 30, as shown in FIG. 1, where it is stored in a database for subsequent processing and presentation to the user, preferably through a local or global electronic network such as the Internet. This uploading of data can be an automatic process that is initiated by sensor device 10 periodically or upon the happening of an event such as the detection by sensor device 10 of a heart rate below a certain level, or can be initiated by the individual user or some third party authorized by the user, preferably according to some periodic schedule, such as every day at 10:00 p.m. Alternatively, rather than storing data in memory 22, sensor device 10 may continuously upload data in real time.
  • The uploading of data from sensor device 10 to central monitoring unit 30 for storage can be accomplished in various ways. In one embodiment, the data collected by sensor device 10 is uploaded by first transferring the data to personal computer 35 shown in FIG. 1 by means of physical connection 40, which, for example, may be a serial connection such as an RS232 or USB port. This physical connection may also be accomplished by using a cradle, not shown, that is electronically coupled to personal computer 35 into which sensor device 10 can be inserted, as is common with many commercially available personal digital assistants. The uploading of data could be initiated by then pressing a button on the cradle or could be initiated automatically upon insertion of sensor device 10. The data collected by sensor device 10 may be uploaded by first transferring the data to personal computer 35 by means of short-range wireless transmission, such as infrared or RF transmission, as indicated at 45.
  • Once the data is received by personal computer 35, it is optionally compressed and encrypted by any one of a variety of well known methods and then sent out over a local or global electronic network, preferably the Internet, to central monitoring unit 30. It should be noted that personal computer 35 can be replaced by any computing device that has access to and that can transmit and receive data through the electronic network, such as, for example, a personal digital assistant such as the Palm VII sold by Palm, Inc., or the Blackberry 2-way pager sold by Research in Motion, Inc.
  • Alternatively, the data collected by sensor device 10, after being encrypted and, optionally, compressed by microprocessor 20, may be transferred to wireless device 50, such as a 2-way pager or cellular phone, for subsequent long distance wireless transmission to local telco site 55 using a wireless protocol such as e-mail or as ASCII or binary data. Local telco site 55 includes tower 60 that receives the wireless transmission from wireless device 50 and computer 65 connected to tower 60. According to the preferred embodiment, computer 65 has access to the relevant electronic network, such as the Internet, and is used to transmit the data received in the form of the wireless transmission to the central monitoring unit 30 over the Internet. Although wireless device 50 is shown in FIG. 1 as a discrete device coupled to sensor device 10, it or a device having the same or similar functionality may be embedded as part of sensor device 10.
  • Sensor device 10 may be provided with a button to be used to time stamp events such as time to bed, wake time, and time of meals. These time stamps are stored in sensor device 10 and are uploaded to central monitoring unit 30 with the rest of the data as described above. The time stamps may include a digitally recorded voice message that, after being uploaded to central monitoring unit 30, are translated using voice recognition technology into text or some other information format that can be used by central monitoring unit 30.
  • In addition to using sensor device 10 to automatically collect physiological data relating to an individual user, a kiosk could be adapted to collect such data by, for example, weighing the individual, providing a sensing device similar to sensor device 10 on which an individual places his or her hand or another part of his or her body, or by scanning the individual's body using, for example, laser technology or an iStat blood analyzer. The kiosk would be provided with processing capability as described herein and access to the relevant electronic network, and would thus be adapted to send the collected data to the central monitoring unit 30 through the electronic network. A desktop sensing device, again similar to sensor device 10, on which an individual places his or her hand or another part of his or her body may also be provided. For example, such a desktop sensing device could be a blood pressure monitor in which an individual places his or her arm. An individual might also wear a ring having a sensor device 10 incorporated therein. A base, not shown, could then be provided which is adapted to be coupled to the ring. The desktop sensing is device or the base just described may then be coupled to a computer such as personal computer 35 by means of a physical or short range wireless connection so that the collected data could be uploaded to central monitoring unit 30 over the relevant electronic network in the manner described above. A mobile device such as, for example, a personal digital assistant, might also be provided with a sensor device 10 incorporated therein. Such a sensor device 10 would be adapted to collect data when mobile device is placed in proximity with the individual's body, such as by holding the device in the palm of one's hand, and upload the collected data to central monitoring unit 30 in any of the ways described herein.
  • Furthermore, in addition to collecting data by automatically sensing such data in the manners described above, individuals can also manually provide data relating to various life activities that is ultimately transferred to and stored at central monitoring unit 30. An individual user can access a web site maintained by central monitoring unit 30 and can directly input information relating to life activities by entering text freely, by responding to questions posed by the web site, or by clicking through dialog boxes provided by the web site. Central monitoring unit 30 can also be adapted to periodically send electronic mail messages containing questions designed to elicit information relating to life activities to personal computer 35 or to some other device that can receive electronic mail, such as a personal digital assistant, a pager, or a cellular phone. The individual would then provide data relating to life activities to central monitoring unit 30 by responding to the appropriate electronic mail message with the relevant data. Central monitoring unit 30 may also be adapted to place a telephone call to an individual user in which certain questions would be posed to the individual user. The user could respond to the questions by entering information using a telephone keypad, or by voice, in which case conventional voice recognition technology would be used by central monitoring unit 30 to receive and process the response. The telephone call may also be initiated by the user, in which case the user could speak to a person directly or enter information using the keypad or by voice/voice recognition technology. Central monitoring unit 30 may also be given access to a source of information controlled by the user, for example the user's electronic calendar such as that provided with the Outlook product sold by Microsoft Corporation of Redmond, Wash., from which it could automatically collect information. The data relating to life activities may relate to the eating, sleep, exercise, mind centering or relaxation, and/or daily living habits, patterns and/or activities of the individual. Thus, sample questions may include: What did you have for lunch today? What time did you go to sleep last night? What time did you wake up this morning? How long did you run on the treadmill today?
  • Feedback may also be provided to a user directly through sensor device 10 in a visual form, for example through an LED or LCD or by constructing sensor device 10, at least in part, of a thermochromatic plastic, in the form of an acoustic signal or in the form of tactile feedback such as vibration. Such feedback may be a reminder or an alert to eat a meal or take medication or a supplement such as a vitamin, to engage in an activity such as exercise or meditation, or to drink water when a state of dehydration is detected. Additionally, a reminder or alert can be issued in the event that a particular physiological parameter such as ovulation has been detected, a level of calories burned during a workout has been achieved or a high heart rate or respiration rate has been encountered.
  • As will be apparent to those of skill in the art, it may be possible to “download” data from central monitoring unit 30 to sensor device 10. The flow of data in such a download process would be substantially the reverse of that described above with respect to the upload of data from sensor device 10. Thus, it is possible that the firmware of microprocessor 20 of sensor device 10 can be updated or altered remotely, i.e., the microprocessor can be reprogrammed, by downloading new firmware to sensor device 10 from central monitoring unit 30 for such parameters as timing and sample rates of sensor device 10. Also, the reminders/alerts provided by sensor device 10 may be set by the user using the web site maintained by central monitoring unit 30 and subsequently downloaded to the sensor device 10.
  • Referring to FIG. 3, a block diagram of an embodiment of central monitoring unit 30 is shown. Central monitoring unit 30 includes CSU/DSU 70 which is connected to router 75, the main function of which is to take data requests or traffic, both incoming and outgoing, and direct such requests and traffic for processing or viewing on the web site maintained by central monitoring unit 30. Connected to router 75 is firewall 80. The main purpose of firewall 80 is to protect the remainder of central monitoring unit 30 from unauthorized or malicious intrusions. Switch 85, connected to firewall 80, is used to direct data flow between middleware servers 95 a through 95 c and database server 110. Load balancer 90 is provided to spread the workload of incoming requests among the identically configured middleware servers 95 a through 95 c. Load balancer 90, a suitable example of which is the F5 ServerIron product sold by Foundry Networks, Inc. of San Jose, Calif., analyzes the availability of each middleware server 95 a through 95 c, and the amount of system resources being used in each middleware server 95 a through 95 c, in order to spread tasks among them appropriately.
  • Central monitoring unit 30 includes network storage device 100, such as a storage area network or SAN, which acts as the central repository for data. In particular, network storage device 100 comprises a database that stores all data gathered for each individual user in the manners described above. An example of a suitable network storage device 100 is the Symmetrix product sold by EMC Corporation of Hopkinton, Mass. Although only one network storage device 100 is shown in FIG. 3, it will be understood that multiple network storage devices of various capacities could be used depending on the data storage needs of central monitoring unit 30. Central monitoring unit 30 also includes database server 110 which is coupled to network storage device 100. Database server 110 is made up of two main components: a large scale multiprocessor server and an enterprise type software server component such as the 8/8i component sold by Oracle Corporation of Redwood City, Calif., or the 506 7 component sold by Microsoft Corporation of Redmond, Wash. The primary functions of database server 110 are that of providing access upon request to the data stored in network storage device 100, and populating network storage device 100 with new data. Coupled to network storage device 100 is controller 115, which typically comprises a desktop personal computer, for managing the data stored in network storage device 100.
  • Middleware servers 95 a through 95 c, a suitable example of which is the 220R Dual Processor sold by Sun Microsystems, Inc. of Palo Alto, Calif., each contain software for generating and maintaining the corporate or home web page or pages of the web site maintained by central monitoring unit 30. As is known in the art, a web page refers to a block or blocks of data available on the World-Wide Web comprising a file or files written in Hypertext Markup Language or HTML, and a web site commonly refers to any computer on the Internet running a World-Wide Web server process. The corporate or home web page or pages are the opening or landing web page or pages that are accessible by all members of the general public that visit the site by using the appropriate uniform resource locator or URL. As is known in the art, URLs are the form of address used on the World-Wide Web and provide a standard way of specifying the location of an object, typically a web page, on the Internet. Middleware servers 95 a through 95 c also each contain software for generating and maintaining the web pages of the web site of central monitoring unit 30 that can only be accessed by individuals that register and become members of central monitoring unit 30. The member users will be those individuals who wish to have their data stored at central monitoring unit 30. Access by such member users is controlled using passwords for security purposes. Preferred embodiments of those web pages are described in detail below and are generated using collected data that is stored in the database of network storage device 100.
  • Middleware servers 95 a through 95 c also contain software for requesting data from and writing data to network storage device 100 through database server 110. When an individual user desires to initiate a session with the central monitoring unit 30 for the purpose of entering data into the database of network storage device 100, viewing his or her data stored in the database of network storage device 100, or both, the user visits the home web page of central monitoring unit 30 using a browser program such as Internet Explorer distributed by Microsoft Corporation of Redmond, Wash., and logs in as a registered user. Load balancer 90 assigns the user to one of the middleware servers 95 a through 95 c, identified as the chosen middleware server. A user will preferably be assigned to a chosen middleware server for each entire session. The chosen middleware server authenticates the user using any one of many well known methods, to ensure that only the true user is permitted to access the information in the database. A member user may also grant access to his or her data to a third party such as a health care provider or a personal trainer. Each authorized third party may be given a separate password and may view the member user's data using a conventional browser. It is therefore possible for both the user and the third party to be the recipient of the data.
  • When the user is authenticated, the chosen middleware server requests, through database server 110, the individual user's data from network storage device 100 for a predetermined time period. The predetermined time period is preferably thirty days. The requested data, once received from network storage device 100, is temporarily stored by the chosen middleware server in cache memory. The cached data is used by the chosen middleware server as the basis for presenting information, in the form of web pages, to the user again through the user's browser. Each middleware server 95 a through 95 c is provided with appropriate software for generating such web pages, including software for manipulating and performing calculations utilizing the data to put the data in appropriate format for presentation to the user. Once the user ends his or her session, the data is discarded from cache. When the user initiates a new session, the process for obtaining and caching data for that user as described above is repeated. This caching system thus ideally requires that only one call to the network storage device 100 be made per session, thereby reducing the traffic that database server 110 must handle. Should a request from a user during a particular session require data that is outside of a predetermined time period of cached data already retrieved, a separate call to network storage device 100 may be performed by the chosen middleware server. The predetermined time period should be chosen, however, such that such additional calls are minimized. Cached data may also be saved in cache memory so that it can be reused when a user starts a new session, thus eliminating the need to initiate a new call to network storage device 100.
  • As described in connection with Table 2, the microprocessor of sensor device 10 may be programmed to derive information relating to an individual's physiological state based on the data indicative of one or more physiological parameters. Central monitoring unit 30, and preferably middleware servers 95 a through 95 c, may also be similarly programmed to derive such information based on the data indicative of one or more physiological parameters.
  • It is also contemplated that a user will input additional data during a session, for example, information relating to the user's eating or sleeping habits. This additional data is preferably stored by the chosen middleware server in a cache during the duration of the user's session. When the user ends the session, this additional new data stored in a cache is transferred by the chosen middleware server to database server 110 for population in network storage device 100. Alternatively, in addition to being stored in a cache for potential use during a session, the input data may also be immediately transferred to database server 110 for population in network storage device 100, as part of a write-through cache system which is well known in the art.
  • Data collected by sensor device 10 shown in FIG. 1 is periodically uploaded to central monitoring unit 30. Either by long distance wireless transmission or through personal computer 35, a connection to central monitoring unit 30 is made through an electronic network, preferably the Internet. In particular, connection is made to load balancer 90 through CSU/DSU 70, router 75, firewall 80 and switch 85. Load balancer 90 then chooses one of the middleware servers 95 a through 95 c to handle the upload of data, hereafter called the chosen middleware server. The chosen middleware server authenticates the user using any one of many well known methods. If authentication is successful, the data is uploaded to the chosen middleware server as described above, and is ultimately transferred to database server 110 for population in the network storage device 100.
  • Referring to FIG. 4, an alternate embodiment of central monitoring unit 30 is shown. In addition to the elements shown and described with respect to FIG. 3, the embodiment of the central monitoring unit 30 shown in FIG. 4 includes a minor network storage device 120 which is a redundant backup of network storage device 100. Coupled to mirror network storage device 120 is controller 122. Data from network storage device 100 is periodically copied to mirror network storage device 120 for data redundancy purposes.
  • Third parties such as insurance companies or research institutions may be given access, possibly for a fee, to certain of the information stored in minor network storage device 120. Preferably, in order to maintain the confidentiality of the individual users who supply data to central monitoring unit 30, these third parties are not given access to such user's individual database records, but rather are only given access to the data stored in minor network storage device 120 in aggregate form. Such third parties may be able to access the information stored in minor network storage device 120 through the Internet using a conventional browser program. Requests from third parties may come in through CSU/DSU 70, router 75, firewall 80 and switch 85. In the embodiment shown in FIG. 4, a separate load balancer 130 is provided for spreading tasks relating to the accessing and presentation of data from minor drive array 120 among identically configured middleware servers 135 a through 135 c. Middleware servers 135 a through 135 c each contain software for enabling the third parties to, using a browser, formulate queries for information from mirror network storage device 120 through separate database server 125. Middleware servers 135 a through 135 c also contain software for presenting the information obtained from mirror network storage device 120 to the third parties over the Internet in the form of web pages. In addition, the third parties can choose from a series of prepared reports that have information packaged along subject matter lines, such as various demographic categories.
  • As will be apparent to one of skill in the art, instead of giving these third parties access to the backup data stored in mirror network storage device 120, the third parties may be given access to the data stored in network storage device 100. Also, instead of providing load balancer 130 and to middleware servers 135 a through 135 c, the same functionality, although at a sacrificed level of performance, could be provided by load balancer 90 and middleware servers 95 a through 95 c.
  • When an individual user first becomes a registered user or member, that user completes a detailed survey. The purposes of the survey are to: identify unique characteristics/circumstances for each user that they might need to address in order to maximize the likelihood that they will implement and maintain a healthy lifestyle as suggested by central monitoring unit 30; gather baseline data which will be used to set initial goals for the individual user and facilitate the calculation and display of certain graphical data output such as the Health Index pistons; identify unique user characteristics and circumstances that will help central monitoring unit 30 customize the type of content provided to the user in the Health Manager's Daily Dose; and identify unique user characteristics and circumstances that the Health Manager can guide the user to address as possible barriers to a healthy lifestyle through the problem-solving function of the Health Manager.
  • The specific information to be surveyed may include: key individual temperamental characteristics, including activity level, regularity of eating, sleeping, and bowel habits, initial response to situations, adaptability, persistence, threshold of responsiveness, intensity of reaction, and quality of mood; the user's level of independent functioning, i.e., self-organization and management, socialization, memory, and academic achievement skills; the user's ability to focus and sustain attention, including the user's level of arousal, cognitive tempo, ability to filter distractions, vigilance, and self-monitoring; the user's current health status including current weight, height, and blood pressure, most recent general physician visit, gynecological exam, and other applicable physician/healthcare contacts, current medications and supplements, allergies, and a review of current symptoms and/or health-related behaviors; the user's past health history, i.e., illnesses/surgeries, family history, and social stress events, such as divorce or loss of a job, that have required adjustment by the individual; the user's beliefs, values and opinions about health priorities, their ability to alter their behavior and, what might contribute to stress in their life, and how they manage it; the user's degree of self-awareness, empathy, empowerment, and self-esteem, and the user's current daily routines for eating, sleeping, exercise, relaxation and completing activities of daily living; and the user's perception of the temperamental characteristics of two key persons in their life, for example, their spouse, a friend, a co-worker, or their boss, and whether there are clashes present in their relationships that might interfere with a healthy lifestyle or contribute to stress.
  • Each member user will have access, through the home web page of central monitoring unit 30, to a series of web pages customized for that user, referred to as the Health Manager. The opening Health Manager web page 150 is shown in FIG. 5. The Health Manager web pages are the main workspace area for the member user. The Health Manager web pages comprise a utility through which central monitoring unit 30 provides various types and forms of data, commonly referred to as analytical status data, to the user that is generated from the data it collects or generates, namely one or more of: the data indicative of various physiological parameters generated by sensor device 10; the data derived from the data indicative of various physiological parameters; the data indicative of various contextual parameters generated by sensor device 10; and the data input by the user. Analytical status data is characterized by the application of certain utilities or algorithms to convert one or more of the data indicative of various physiological parameters generated by sensor device 10, the data derived from the data indicative of various physiological parameters, the data indicative of various contextual parameters generated by sensor device 10, and the data input by the user into calculated health, wellness and lifestyle indicators. For example, based on data input by the user relating to the foods he or she has eaten, things such as calories and amounts of proteins, fats, carbohydrates, and certain vitamins can be calculated. As another example, skin temperature, heart rate, respiration rate, heat flow and/or GSR can be used to provide an indicator to the user of his or her stress level over a desired time period. As still another example, skin temperature, heat flow, beat-to-beat heart variability, heart rate, pulse rate, respiration rate, core temperature, galvanic skin response, EMG, EEG, EOG, blood pressure, oxygen consumption, ambient sound and body movement or motion as detected by a device such as an accelerometer can be used to provide indicators to the user of his or her sleep patterns over a desired time period.
  • Located on the opening Health Manager web page 150 is Health Index 155. Health Index 155 is a graphical utility used to measure and provide feedback to member users regarding their performance and the degree to which they have succeeded in reaching a healthy daily routine suggested by central monitoring unit 30. Health Index 155 thus provides an indication for the member user to track his or her progress. Health Index 155 includes six categories relating to the user's health and lifestyle: Nutrition, Activity Level, Mind Centering, Sleep, Daily Activities and How You Feel. The Nutrition category relates to what, when and how much a person eats and drinks. The Activity Level category relates to how much a person moves around. The Mind Centering category relates to the quality and quantity of time a person spends engaging in some activity that allows the body to achieve a state of profound relaxation while the mind becomes highly alert and focused. The Sleep category relates to the quality and quantity of a person's sleep. The Daily Activities category relates to the daily responsibilities and health risks people encounter. Finally, the How You Feel category relates to the general perception that a person has about how they feel on a particular day. Each category has an associated level indicator or piston that indicates, preferably on a scale ranging from poor to excellent, how the user is performing with respect to that category.
  • When each member user completes the initial survey described above, a profile is generated that provides the user with a summary of his or her relevant characteristics and life circumstances. A plan and/or set of goals is provided in the form of a suggested healthy daily routine. The suggested healthy daily routine may include any combination of specific suggestions for incorporating proper nutrition, exercise, mind centering, sleep, and selected activities of daily living in the user's life. Prototype schedules may be offered as guides for how these suggested activities can be incorporated into the user's life. The user may periodically retake the survey, and based on the results, the items discussed above will be adjusted accordingly.
  • The Nutrition category is calculated from both data input by the user and sensed by sensor device 10. The data input by the user comprises the time and duration of breakfast, lunch, dinner and any snacks, and the foods eaten, the supplements such as vitamins that are taken, and the water and other liquids consumed during a relevant, pre-selected time period. Based upon this data and on stored data relating to known properties of various foods, central monitoring unit 30 calculates well known nutritional food values such as calories and amounts of proteins, fats, carbohydrates, vitamins, etc., consumed.
  • The Nutrition Health Index piston level is preferably determined with respect to the following suggested healthy daily routine: eat at least three meals; eat a varied diet consisting of 6-11 servings of bread, pasta, cereal, and rice, 2-4 servings fruit, 3-5 servings of vegetables, 2-3 servings of fish, meat, poultry, dry beans, eggs, and nuts, and 2-3 servings of milk, yogurt and cheese; and drink 8 or more 8 ounce glasses of water. This routine may be adjusted based on information about the user, such as sex, age, height and/or weight. Certain nutritional targets may also be set by the user or for the user, relating to daily calories, protein, fiber, fat, carbohydrates, and/or water consumption and percentages of total consumption. Parameters utilized in the calculation of the relevant piston level include the number of meals per day, the number of glasses of water, and the types and amounts of food eaten each day as input by the user.
  • Nutritional information is presented to the user through nutrition web page 160 as shown in FIG. 6. The preferred nutritional web page 160 includes nutritional fact charts 165 and 170 which illustrate actual and target nutritional facts, respectively as pie charts, and nutritional intake charts 175 and 180 which show total actual nutritional intake and target nutritional intake, respectively as pie charts. Nutritional fact charts 165 and 170 preferably show a percentage breakdown of items such as carbohydrates, protein and fat, and nutritional intake charts 175 and 180 are preferably broken down to show components such as total and target calories, fat, carbohydrates, protein, and vitamins. Web page 160 also includes meal and water consumption tracking 185 with time entries, hyperlinks 190 which allow the user to directly access nutrition-related news items and articles, suggestions for refining or improving daily routine with respect to nutrition and affiliate advertising elsewhere on the network, and calendar 195 for choosing between views having variable and selectable time periods. The items shown at 190 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • The Activity Level category of Health Index 155 is designed to help users monitor how and when they move around during the day and utilizes both data input by the user and data sensed by sensor device 10. The data input by the user may include details regarding the user's daily activities, for example the fact that the user worked at a desk from 8 a.m. to 5 p.m. and then took an aerobics class from 6 p.m. to 7 p.m. Relevant data sensed by sensor device 10 may include heart rate, movement as sensed by a device such as an accelerometer, heat flow, respiration rate, calories burned, GSR and hydration level, which may be derived by sensor device 60 or central monitoring unit 30. Calories burned may be calculated in a variety of manners, including: the multiplication of the type of exercise input by the user by the duration of exercise input by the user; sensed motion multiplied by time of motion multiplied by a filter constant; or sensed heat flux multiplied by time multiplied by a filter constant.
  • The Activity Level Health Index piston level is preferably determined with respect to a suggested healthy daily routine that includes: exercising aerobically for a pre-set time period, preferably 20 minutes, or engaging in a vigorous lifestyle activity for a pre-set time period, preferably one hour, and burning at least a minimum target number of calories, preferably 205 calories, through the aerobic exercise and/or lifestyle activity. The minimum target number of calories may be set according to information about the user, such as sex, age, height and/or weight. Parameters utilized in the calculation of the relevant piston level include the amount of time spent exercising aerobically or engaging in a vigorous lifestyle activity as input by the user and/or sensed by sensor device 10, and the number of calories burned above pre-calculated energy expenditure parameters.
  • Information regarding the individual user's movement is presented to the user through activity level web page 200 shown in FIG. 7, which may include activity graph 205 in the form of a bar graph, for monitoring the individual user's activities in one of three categories: high, medium and low intensity with respect to a pre-selected unit of time. Activity percentage chart 210, in the form or a pie chart, may also be provided for showing the percentage of a pre-selected time period, such as one day, that the user spent in each category. Activity level web page 200 may also include calorie section 215 for displaying items such as total calories burned, daily target calories burned, total caloric intake, and duration of aerobic activity. Finally, activity level web page 200 may include at least one hyperlink 220 to allow a user to directly access relevant news items and articles, suggestions for refining or improving daily routine with respect to activity level and affiliate advertising elsewhere on the network. Activity level web page 200 may be viewed in a variety of formats, and may include user-selectable graphs and charts such as a bar graph, pie chart, or both, as selectable by Activity level check boxes 225. Activity level calendar 230 is provided for selecting among views having variable and selectable time periods. The items shown at 220 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • The Mind Centering category of Health Index 155 is designed to help users monitor the parameters relating to time spent engaging in certain activities which allow the body to achieve a state of profound relaxation while the mind becomes focused, and is based upon both data input by the user and data sensed by the sensor device 10. In particular, a user may input the beginning and end times of relaxation activities such as yoga or meditation. The quality of those activities as determined by the depth of a mind centering event can be measured by monitoring parameters including skin temperature, heart rate, respiration rate, and heat flow as sensed by sensor device 10. Percent change in GSR as derived either by sensor device 10 or central monitoring unit 30 may also be utilized.
  • The Mind Centering Health Index piston level is preferably calculated with respect to a suggested healthy daily routine that includes participating each day in an activity that allows the body to achieve profound relaxation while the mind stays highly focused for at least fifteen minutes. Parameters utilized in the calculation of the relevant piston level include the amount of time spent in a mind centering activity, and the percent change in skin temperature, heart rate, respiration rate, heat flow or GSR as sensed by sensor device 10 compared to a baseline which is an indication of the depth or quality of the mind centering activity.
  • Information regarding the time spent on self-reflection and relaxation is presented to the user through mind centering web page 250 shown in FIG. 8. For each mind centering activity, referred to as a session, the preferred mind centering web page 250 includes the time spent during the session, shown at 255, the target time, shown at 260, comparison section 265 showing target and actual depth of mind centering, or focus, and a histogram 270 that shows the overall level of stress derived from such things as skin temperature, heart rate, respiration rate, heat flow and/or GSR. In comparison section 265, the human figure outline showing target focus is solid, and the human figure outline showing actual focus ranges from fuzzy to solid depending on the level of focus. The preferred mind centering web page may also include an indication of the total time spent on mind centering activities, shown at 275, hyperlinks 280 which allow the user to directly access relevant news items and articles, suggestions for refining or improving daily routine with respect to mind centering and affiliate advertising, and a calendar 285 for choosing among views having variable and selectable time periods. The items shown at 280 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • The Sleep category of Health Index 155 is designed to help users monitor their sleep patterns and the quality of their sleep. It is intended to help users learn about the importance of sleep in their healthy lifestyle and the relationship of sleep to circadian rhythms, being the normal daily variations in body functions. The Sleep category is based upon both data input by the user and data sensed by sensor device 10. The data input by the user for each relevant time interval includes the times the user went to sleep and woke up and a rating of the quality of sleep. As noted in Table 2, the data from sensor device 10 that is relevant includes skin temperature, heat flow, beat-to-beat heart variability, heart rate, pulse rate, respiration rate, core temperature, galvanic skin response, EMG, EEG, EOG, blood pressure, and oxygen consumption. Also relevant is ambient sound and body movement or motion as detected by a device such as an accelerometer. This data can then be used to calculate or derive sleep onset and wake time, sleep interruptions, and the quality and depth of sleep.
  • The Sleep Health Index piston level is determined with respect to a healthy daily routine including getting a minimum amount, preferably eight hours, of sleep each night and having a predictable bed time and wake time. The specific parameters which determine the piston level calculation include the number of hours of sleep per night and the bed time and wake time as sensed by sensor device 10 or as input by the user, and the quality of the sleep as rated by the user or derived from other data.
  • Information regarding sleep is presented to the user through sleep web page 290 shown in FIG. 9. Sleep web page 290 includes a sleep duration indicator 295, based on either data from sensor device 10 or on data input by the user, together with user sleep time indicator 300 and wake time indicator 305. A quality of sleep rating 310 input by the user may also be utilized and displayed. If more than a one day time interval is being displayed on sleep web page 290, then sleep duration indicator 295 is calculated and displayed as a cumulative value, and sleep time indicator 300, wake time indicator 305 and quality of sleep rating 310 are calculated and illustrated as averages. Sleep web page 290 also includes a user-selectable sleep graph 315 which calculates and displays one sleep related parameter over a pre-selected time interval. For illustrative purposes, FIG. 9 shows heat flow over a one-day period, which tends to be lower during sleeping hours and higher during waking hours. From this information, a person's bio-rhythms can be derived. Sleep graph 315 may also include a graphical representation of data from an accelerometer incorporated in sensor device 10 which monitors the movement of the body. The sleep web page 290 may also include hyperlinks 320 which allow the user to directly access sleep related news items and articles, suggestions for refining or improving daily routine with respect to sleep and affiliate advertising available elsewhere on the network, and a sleep calendar 325 for choosing a relevant time interval. The items shown at 320 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • The Activities of Daily Living category of Health Index 155 is designed to help users monitor certain health and safety related activities and risks and is based entirely on data input by the user. The Activities of Daily Living category is divided into four sub-categories: personal hygiene, which allows the user to monitor activities such as brushing and flossing his or her teeth and showering; health maintenance, that tracks whether the user is taking prescribed medication or supplements and allows the user to monitor tobacco and alcohol consumption and automobile safety such as seat belt use; personal time, that allows the user to monitor time spent socially with family and friends, leisure, and mind centering activities; and responsibilities, that allows the user to monitor certain work and financial activities such as paying bills and household chores.
  • The Activities of Daily Living Health Index piston level is preferably determined with respect to the healthy daily routine described below. With respect to personal hygiene, the routine requires that the users shower or bathe each day, brush and floss teeth each day, and maintain regular bowel habits. With respect to health maintenance, the routine requires that the user take medications and vitamins and/or supplements, use a seat belt, refrain from smoking, drink moderately, and monitor health each day with the Health Manager. With respect to personal time, the routine requires the users to spend at least one hour of quality time each day with family and/or friends, restrict work time to a maximum of nine hours a day, spend some time on a leisure or play activity each day, and engage in a mind stimulating activity. With respect to responsibilities, the routine requires the users to do household chores, pay bills, be on time for work, and keep appointments. The piston level is calculated based on the degree to which the user completes a list of daily activities as determined by information input by the user.
  • Information relating to these activities is presented to the user through daily activities web page 330 shown in FIG. 10. In preferred daily activities web page 330, activities chart 335, selectable for one or more of the sub-categories, shows whether the user has done what is required by the daily routine. A colored or shaded box indicates that the user has done the required activity, and an empty, non-colored or shaded box indicates that the user has not done the activity. Activities chart 335 can be created and viewed in selectable time intervals. For illustrative purposes, FIG. 10 shows the personal hygiene and personal time sub-categories for a particular week. In addition, daily activities web page 330 may include daily activity hyperlinks 340 which allow the user to directly access relevant news items and articles, suggestions for improving or refining daily routine with respect to activities of daily living and affiliate advertising, and a daily activities calendar 345 for selecting a relevant time interval. The items shown at 340 may be selected and customized based on information learned about the individual in the survey and on their performance as measured by the Health Index.
  • The How You Feel category of Health Index 155 is designed to allow users to monitor their perception of how they felt on a particular day, and is based on information, essentially a subjective rating, that is input directly by the user. A user provides a rating, preferably on a scale of 1 to 5, with respect to the following nine subject areas: mental sharpness; emotional and psychological well being; energy level; ability to cope with life stresses; appearance; physical well being; self-control; motivation; and comfort in relating to others. Those ratings are averaged and used to calculate the relevant piston level.
  • Referring to FIG. 11, Health Index web page 350 is shown. Health Index web page 350 enables users to view the performance of their Health Index over a user selectable time interval including any number of consecutive or non-consecutive days. Using Health Index selector buttons 360, the user can select to view the Health Index piston levels for one category, or can view a side-by-side comparison of the Health Index piston levels for two or more categories. For example, a user might want to just turn on Sleep to see if their overall sleep rating improved over the previous month, much in the same way they view the performance of their favorite stock. Alternatively, Sleep and Activity Level might be simultaneously displayed in order to compare and evaluate Sleep ratings with corresponding Activity Level ratings to determine if any day-to-day correlations exist. Nutrition ratings might be displayed with How You Feel for a pre-selected time interval to determine if any correlation exists between daily eating habits and how they felt during that interval. For illustrative purposes, FIG. 11 illustrates a comparison of Sleep and Activity Level piston levels for the week of June 10 through June 16. Health Index web page 350 also includes tracking calculator 365 that displays access information and statistics such as the total number of days the user has logged in and used the Health Manager, the percentage of days the user has used the Health Manager since becoming a subscriber, and percentage of time the user has used the sensor device 10 to gather data.
  • Referring again to FIG. 5, opening Health Manager web page 150 may include a plurality of user selectable category summaries 156 a through 156 f, one corresponding to each of the Health Index 155 categories. Each category summary 156 a through 156 f presents a pre-selected filtered subset of the data associated with the corresponding category. Nutrition category summary 156 a displays daily target and actual caloric intake. Activity Level category summary 156 b displays daily target and actual calories burned. Mind Centering category summary 156 c displays target and actual depth of mind centering or focus. Sleep category summary 156 d displays target sleep, actual sleep, and a sleep quality rating. Daily Activities category summary 156 e displays a target and actual score based on the percentage of suggested daily activities that are completed. The How You Feel category summary 156 f shows a target and actual rating for the day.
  • Opening Health Manager web page 150 also may include Daily Dose section 157 which provides, on a daily time interval basis, information to the user, including, but not limited to, hyperlinks to news items and articles, commentary and reminders to the user based on tendencies, such as poor nutritional habits, determined from the initial survey. The commentary for Daily Dose 157 may, for example, be a factual statement that drinking 8 glasses of water a day can reduce the risk of colon cancer by as much as 32%, accompanied by a suggestion to keep a cup of water by your computer or on your desk at work and refill often. Opening Health Manager web page 150 also may include a Problem Solver section 158 that actively evaluates the user's performance in each of the categories of Health Index 155 and presents suggestions for improvement. For example, if the system detects that a user's Sleep levels have been low, which suggest that the user has been having trouble sleeping, Problem Solver 158 can provide suggestions for way to improve sleep. Problem Solver 158 also may include the capability of user questions regarding improvements in performance. Opening Health Manager web page 150 may also include a Daily Data section 159 that launches an input dialog box. The input dialog box facilitates input by the user of the various data required by the Health Manager. As is known in the art, data entry may be in the form of selection from pre-defined lists or general free form text input. Finally, opening Health Manager web page 150 may include Body Stats section 161 which may provide information regarding the user's height, weight, body measurements, body mass index or BMI, and vital signs such as heart rate, blood pressure or any of the identified physiological parameters.
  • Referring to FIGS. 12-17, a specific embodiment of sensor device 10 is shown which is in the form of an armband adapted to be worn by an individual on his or her upper arm, between the shoulder and the elbow. The specific embodiment of sensor device 10 shown in FIGS. 12-17 will, for convenience, be referred to as armband sensor device 400. Armband sensor device 400 includes computer housing 405, flexible wing body 410, and, as shown in FIG. 17, elastic strap 415. Computer housing 405 and flexible wing body 410 are preferably made of a flexible urethane material or an elastomeric material such as rubber or a rubber-silicone blend by a molding process. Flexible wing body 410 includes first and second wings 418 each having a thru-hole 420 located near the ends 425 thereof. First and second wings 418 are adapted to wrap around a portion of the wearer's upper arm.
  • Elastic strap 415 is used to removably affix armband sensor device 400 to the individual's upper arm. As seen in FIG. 17, bottom surface 426 of elastic strap 415 is provided with Velcro loops 416 along a portion thereof. Each end 427 of elastic strap 415 is provided with Velcro hook patch 428 on bottom surface 426 and pull tab 429 on top surface 430. A portion of each pull tab 429 extends beyond the edge of each end 427.
  • In order to wear armband sensor device 400, a user inserts each end 427 of elastic strap 415 into a respective thru-hole 420 of flexible wing body 410. The user then places his arm through the loop created by elastic strap 415, flexible wing body 410 and computer housing 405. By pulling each pull tab 429 and engaging Velcro hook patches 428 with Velcro loops 416 at a desired position along bottom surface 426 of elastic strap 415, the user can adjust elastic strap 415 to fit comfortably. Since Velcro hook patches 428 can be engaged with Velcro loops 416 at almost any position along bottom surface 426, armband sensor device 400 can be adjusted to fit arms of various sizes. Also, elastic strap 415 may be provided in various lengths to accommodate a wider range of arm sizes. As will be apparent to one of skill in the art, other means of fastening and adjusting the size of elastic strap may be used, including, but not limited to, snaps, buttons, or buckles. It is also possible to use two elastic straps that fasten by one of several conventional means including Velcro, snaps, buttons, buckles or the like, or merely a single elastic strap affixed to wings 418.
  • Alternatively, instead of providing thru-holes 420 in wings 418, loops having the shape of the letter D, not shown, may be attached to ends 425 of wings 418 by one of several conventional means. For example, a pin, not shown, may be inserted through ends 425, wherein the pin engages each end of each loop. In this configuration, the D-shaped loops would serve as connecting points for elastic strap 415, effectively creating a thru-hole between each end 425 of each wing 418 and each loop.
  • As shown in FIG. 18, which is an exploded view of armband sensor device 400, computer housing 405 includes a top portion 435 and a bottom portion 440. Contained within computer housing 405 are printed circuit board or PCB 445, rechargeable battery 450, preferably a lithium ion battery, and vibrating motor 455 for providing tactile feedback to the wearer, such as those used in pagers, suitable examples of which are the Model 12342 and 12343 motors sold by MG Motors Ltd. of the United Kingdom.
  • Top portion 435 and bottom portion 440 of computer housing 405 sealingly mate along groove 436 into which O-ring 437 is fit, and may be affixed to one another by screws, not shown, which pass through screw holes 438 a and stiffeners 438 b of bottom portion 440 and apertures 439 in PCB 445 and into threaded receiving stiffeners 451 of top portion 435. Alternately, top portion 435 and bottom portion 440 may be snap fit together or affixed to one another with an adhesive. Preferably, the assembled computer housing 405 is sufficiently water resistant to permit armband sensor device 400 to be worn while swimming without adversely affecting the performance thereof.
  • As can be seen in FIG. 13, bottom portion 440 includes, on a bottom side thereof, a raised platform 430. Affixed to raised platform 430 is heat flow or flux sensor 460, a suitable example of which is the micro-foil heat flux sensor sold by RdF Corporation of Hudson, N.H. Heat flux sensor 460 functions as a self-generating thermopile transducer, and preferably includes a carrier made of a polyamide film. Bottom portion 440 may include on a top side thereof, that is on a side opposite the side to which heat flux sensor 460 is affixed, a heat sink, not shown, made of a suitable metallic material such as aluminum. Also affixed to raised platform 430 are GSR sensors 465, preferably comprising electrodes formed of a material such as conductive carbonized rubber, gold or stainless steel. Although two GSR sensors 465 are shown in FIG. 13, it will be appreciated by one of skill in the art that the number of GSR sensors 465 and the placement thereof on raised platform 430 can vary as long as the individual GSR sensors 465, i.e., the electrodes, are electrically isolated from one another. By being affixed to raised platform 430, heat flux sensor 460 and GSR sensors 465 are adapted to be in contact with the wearer's skin when armband sensor device 400 is worn. Bottom portion 440 of computer housing 405 may also be provided with a removable and replaceable soft foam fabric pad, not shown, on a portion of the surface thereof that does not include raised platform 430 and screw holes 438 a. The soft foam fabric is intended to contact the wearer's skin and make armband sensor device 400 more comfortable to wear.
  • Electrical coupling between heat flux sensor 460, GSR sensors 465, and PCB 445 may be accomplished in one of various known methods. For example, suitable wiring, not shown, may be molded into bottom portion 440 of computer housing 405 and then electrically connected, such as by soldering, to appropriate input locations on PCB 445 and to heat flux sensor 460 and GSR sensors 465. Alternatively, rather than molding wiring into bottom portion 440, thru-holes may be provided in bottom portion 440 through which appropriate wiring may pass. The thru-holes would preferably be provided with a water tight seal to maintain the integrity of computer housing 405.
  • Rather than being affixed to raised platform 430 as shown in FIG. 13, one or both of heat flux sensor 460 and GSR sensors 465 may be affixed to the inner portion 466 of flexible wing body 410 on either or both of wings 418 so as to be in contact with the wearer's skin when armband sensor device 400 is worn. In such a configuration, electrical coupling between heat flux sensor 460 and GSR sensors 465, whichever the case may be, and the PCB 445 may be accomplished through suitable wiring, not shown, molded into flexible wing body 410 that passes through one or more thru-holes in computer housing 405 and that is electrically connected, such as by soldering, to appropriate input locations on PCB 445. Again, the thru-holes would preferably be provided with a water tight seal to maintain the integrity of computer housing 405. Alternatively, rather than providing thru-holes in computer housing 405 through which the wiring passes, the wiring may be captured in computer housing 405 during an overmolding process, described below, and ultimately soldered to appropriate input locations on PCB 445.
  • As shown in FIGS. 12, 16, 17 and 18, computer housing 405 includes a button 470 that is coupled to and adapted to activate a momentary switch 585 on PCB 445. Button 470 may be used to activate armband sensor device 400 for use, to mark the time an event occurred or to request system status information such as battery level and memory capacity. When button 470 is depressed, momentary switch 585 closes a circuit and a signal is sent to processing unit 490 on PCB 445. Depending on the time interval for which button 470 is depressed, the generated signal triggers one of the events just described. Computer housing 405 also includes LEDs 475, which may be used to indicate battery level or memory capacity or to provide visual feedback to the wearer. Rather than LEDs 475, computer housing 405 may also include a liquid crystal display or LCD to provide battery level, memory capacity or visual feedback information to the wearer. Battery level, memory capacity or feedback information may also be given to the user tactily or audibly.
  • Armband sensor device 400 may be adapted to be activated for use, that is collecting data, when either of GSR sensors 465 or heat flux sensor 460 senses a particular condition that indicates that armband sensor device 400 has been placed in contact with the user's skin. Also, armband sensor device 400 may be adapted to be activated for use when one or more of heat flux sensor 460, GSR sensors 465, accelerometer 495 or 550, or any other device in communication with armband sensor device 400, alone or in combination, sense a particular condition or conditions that indicate that the armband sensor device 400 has been placed in contact with the user's skin for use. At other times, armband sensor device 400 would be deactivated, thus preserving battery power.
  • Computer housing 405 is adapted to be coupled to a battery recharger unit 480 shown in FIG. 19 for the purpose of recharging rechargeable battery 450. Computer housing 405 includes recharger contacts 485, shown in FIGS. 12, 15, 16 and 17, that are coupled to rechargeable battery 450. Recharger contacts 485 may be made of a material such as brass, gold or stainless steel, and are adapted to mate with and be electrically coupled to electrical contacts, not shown, provided in battery recharger unit 480 when armband sensor device 400 is placed therein. The electrical contacts provided in battery recharger unit 480 may be coupled to recharging circuit 481 a provided inside battery recharger unit 480. In this configuration, recharging circuit 481 would be coupled to a wall outlet, such as by way of wiring including a suitable plug that is attached or is attachable to battery recharger unit 480. Alternatively, electrical contacts 480 may be coupled to wiring that is attached to or is attachable to battery recharger unit 480 that in turn is coupled to recharging circuit 481 b external to battery recharger unit 480. The wiring in this configuration would also include a plug, not shown, adapted to be plugged into a conventional wall outlet.
  • Also provided inside battery recharger unit 480 is RF transceiver 483 adapted to receive signals from and transmit signals to RF transceiver 565 provided in computer housing 405 and shown in FIG. 20. RF transceiver 483 is adapted to be coupled, for example by a suitable cable, to a serial port, such as an RS 232 port or a USB port, of a device such as personal computer 35 shown in FIG. 1. Thus, data may be uploaded from and downloaded to armband sensor device 400 using RF transceiver 483 and RF transceiver 565. It will be appreciated that although RF transceivers 483 and 565 are shown in FIGS. 19 and 20, other forms of wireless transceivers may be used, such as infrared transceivers. Alternatively, computer housing 405 may be provided with additional electrical contacts, not shown, that would be adapted to mate with and be electrically coupled to additional electrical contacts, not shown, provided in battery recharger unit 480 when armband sensor device 400 is placed therein. The additional electrical contacts in the computer housing 405 would be coupled to the processing unit 490 and the additional electrical contacts provided in battery recharger unit 480 would be coupled to a suitable cable that in turn would be coupled to a serial port, such as an RS R32 port or a USB port, of a device such as personal computer 35. This configuration thus provides an alternate method for uploading of data from and downloading of data to armband sensor device 400 using a physical connection.
  • FIG. 20 is a schematic diagram that shows the system architecture of armband sensor device 400, and in particular each of the components that is either on or coupled to PCB 445.
  • As shown in FIG. 17, PCB 445 includes processing unit 490, which may be a microprocessor, a microcontroller, or any other processing device that can be adapted to perform the functionality described herein. Processing unit 490 is adapted to provide all of the functionality described in connection with microprocessor 20 shown in FIG. 2. A suitable example of processing unit 490 is the Dragonball EZ sold by Motorola, Inc. of Schaumburg, Ill. PCB 445 also has thereon a two-axis accelerometer 495, a suitable example of which is the Model ADXL210 accelerometer sold by Analog Devices, Inc. of Norwood, Mass. Two-axis accelerometer 495 is preferably mounted on PCB 445 at an angle such that its sensing axes are offset at an angle substantially equal to 45 degrees from the longitudinal axis of PCB 445 and thus the longitudinal axis of the wearer's arm when armband sensor device 400 is worn. The longitudinal axis of the wearer's arm refers to the axis defined by a straight line drawn from the wearer's shoulder to the wearer's elbow. The output signals of two-axis accelerometer 495 are passed through buffers 500 and input into analog to digital converter 505 that in turn is coupled to processing unit 490. GSR sensors 465 are coupled to amplifier 510 on PCB 445. Amplifier 510 provides amplification and low pass filtering functionality, a suitable example of which is the Model AD8544 amplifier sold by Analog Devices, Inc. of Norwood, Mass. The amplified and filtered signal output by amplifier 510 is input into amp/offset 515 to provide further gain and to remove any bias voltage and into filter/conditioning circuit 520, which in turn are each coupled to analog to digital converter 505. Heat flux sensor 460 is coupled to differential input amplifier 525, such as the Model INA amplifier sold by Bun-Brown Corporation of Tucson, Ariz., and the resulting amplified signal is passed through filter circuit 530, buffer 535 and amplifier 540 before being input to analog to digital converter 505. Amplifier 540 is configured to provide further gain and low pass filtering, a suitable example of which is the Model AD8544 amplifier sold by Analog Devices, Inc. of Norwood, Mass. PCB 445 also includes thereon a battery monitor 545 that monitors the remaining power level of rechargeable battery 450. Battery monitor 545 preferably comprises a voltage divider with a low pass filter to provide average battery voltage. When a user depresses button 470 in the manner adapted for requesting battery level, processing unit 490 checks the output of battery monitor 545 and provides an indication thereof to the user, preferably through LEDs 475, but also possibly through vibrating motor 455 or ringer 575. An LCD may also be used.
  • PCB 445 may include three-axis accelerometer 550 instead of or in addition to two-axis accelerometer 495. The three-axis accelerometer outputs a signal to processing unit 490. A suitable example of three-axis accelerometer is the μPAM product sold by I.M. Systems, Inc. of Scottsdale, Ariz. Three-axis accelerometer 550 is preferably tilted in the manner described with respect to two-axis accelerometer 495.
  • PCB 445 also includes RF receiver 555 that is coupled to processing unit 490. RF receiver 555 may be used to receive signals that are output by another device capable of wireless transmission, shown in FIG. 20 as wireless device 558, worn by or located near the individual wearing armband sensor device 400. Located near as used herein means within the transmission range of wireless device 558. For example, wireless device 558 may be a chest mounted heart rate monitor such as the Tempo product sold by Polar Electro of Oulu, Finland. Using such a heart rate monitor, data indicative of the wearer's heart rate can be collected by armband sensor device 400. Antenna 560 and RF transceiver 565 are coupled to processing unit 490 and are provided for purposes of uploading data to central monitoring unit 30 and receiving data downloaded from central monitoring unit 30. RF transceiver 565 and RF receiver 555 may, for example, employ Bluetooth technology as the wireless transmission protocol. Also, other forms of wireless transmission may be used, such as infrared transmission.
  • The fact that RF Transceiver 565 may be used for wirelessly uploading data from and wirelessly downloading data to armband sensor device 400 is advantageous because it eliminates the need to remove armband sensor device 400 to perform these functions, as would be required with a physical connection. For example, if armband sensor device 400 was being worn under the user's clothing, requiring removal of armband sensor device 400 prior to uploading and/or downloading data increases user inconvenience. In addition, the wearing of armband sensor device 400 has an effect on the user's skin and underlying blood vessels, which in turn may effect any measurements being made with respect thereto. It may be necessary for a period of time during which armband sensor device 400 is worn by the user to elapse before a steady state is achieved and consistent, accurate measurements can be made. By providing armband sensor device 400 with wireless communications capability, data can be uploaded and downloaded without disturbing an established steady state equilibrium condition. For example, programming data for processing unit 490 that controls the sampling characteristics of armband sensor device 400 can be downloaded to armband sensor device 400 without disturbing the steady state equilibrium condition.
  • In addition, antenna 560 and RF transceiver 565 permit armband sensor device 400 to communicate wirelessly with other devices capable of wireless communication, i.e., transmit information to and receive information from those devices. The devices may include, for example, devices that are implanted in the body of the person using armband sensor device 400, such as an implantable heart pacemaker or an implantable insulin dispensing device, for example the MiniMed® 2007 implantable insulin pump sold by MiniMed Inc. of Northridge, Calif., devices worn on the body of the person using armband sensor device 400, or devices located near the person using armband sensor device 400 at any particular time, such as an electronic scale, a blood pressure monitor, a glucose monitor, a cholesterol monitor or another armband sensor device 400. With this two-way wireless communication capability, armband sensor device 400 may be adapted to transmit information that activates or deactivates such a device for use or information that programs such a device to behave in a particular way. For example, armband sensor device 400 may be adapted to activate a piece of exercise equipment such as a treadmill and program it to operate with certain parameters that are dictated or desired by or optimal for the user of armband sensor device 400. As another example, armband sensor device 400 may be adapted to adjust a computer controlled thermostat in a home based on the detected skin temperature of the wearer or turn off a computer controlled lighting system, television or stereo when the wearer is determined to have fallen asleep.
  • Vibrating motor 455 is coupled to processing unit 490 through vibrator driver 570 and provides tactile feedback to the wearer. Similarly, ringer 575, a suitable example of which is the Model SMT916A ringer sold by Projects Unlimited, Inc. of Dayton, Ohio, is coupled to processing unit 490 through ringer driver 580, a suitable example of which is the Model MMBTA14 CTI darlington transistor driver sold by Motorola, Inc. of Schaumburg, Ill., and provides audible feedback to the wearer. Feedback may include, for example, celebratory, cautionary and other threshold or event driven messages, such as when a wearer reaches a level of calories burned during a workout.
  • Also provided on PCB 445 and coupled to processing unit 490 is momentary switch 585. Momentary switch 585 is also coupled to button 470 for activating momentary switch 585. LEDs 475, used to provide various types of feedback information to the wearer, are coupled to processing unit 490 through LED latch/driver 590.
  • Oscillator 595 is provided on PCB 445 and supplies the system clock to processing unit 490. Reset circuit 600, accessible and triggerable through a pin-hole in the side of computer housing 405, is coupled to processing unit 490 and enables processing unit 490 to be reset to a standard initial setting.
  • Rechargeable battery 450, which is the main power source for the armband sensor device 400, is coupled to processing unit 490 through voltage regulator 605. Finally, memory functionality is provided for armband sensor device 400 by SRAM 610, which stores data relating to the wearer of armband sensor device 400, and flash memory 615, which stores program and configuration data, provided on PCB 445. SRAM 610 and flash memory 615 are coupled to processing unit 490 and each preferably have at least 512K of memory.
  • In manufacturing and assembling armband sensor device 400, top portion 435 of computer housing 405 is preferably formed first, such as by a conventional molding process, and flexible wing body 410 is then overmolded on top of top portion 435. That is, top portion 435 is placed into an appropriately shaped mold, i.e., one that, when top portion 435 is placed therein, has a remaining cavity shaped according to the desired shape of flexible wing body 410, and flexible wing body 410 is molded on top of top portion 435. As a result, flexible wing body 410 and top portion 435 will merge or bond together, forming a single unit. Alternatively, top portion 435 of computer housing 405 and flexible wing body 410 may be formed together, such as by molding in a single mold, to form a single unit. The single unit however formed may then be turned over such that the underside of top portion 435 is facing upwards, and the contents of computer housing 405 can be placed into top portion 435, and top portion 435 and bottom portion 440 can be affixed to one another. As still another alternative, flexible wing body 410 may be separately formed, such as by a conventional molding process, and computer housing 405, and in particular top portion 435 of computer housing 405, may be affixed to flexible wing body 410 by one of several known methods, such as by an adhesive, by snap-fitting, or by screwing the two pieces together. Then, the remainder of computer housing 405 would be assembled as described above. It will be appreciated that rather than assembling the remainder of computer housing 405 after top portion 435 has been affixed to flexible wing body 410, the computer housing 405 could be assembled first and then affixed to flexible wing body 410.
  • Referring to FIG. 21, a block diagram of an alternate embodiment of the present invention is shown. This alternate embodiment includes stand alone sensor device 700 which functions as an independent device, meaning that it is capable of collecting and/or generating the various types of data described herein in connection with sensor device 10 and sensor device 400 and providing analytical status data to the user without interaction with a remotely located apparatus such as central monitoring unit 30. Stand alone sensor device 700 includes a processor that is programmed and/or otherwise adapted to include the utilities and algorithms necessary to create analytical status data from the data indicative of various physiological and/or contextual parameters of the user, the data derived therefrom, and the data input by the user, all of which is stored in and accessed as needed from memory provided in stand alone sensor device 700. Stand alone sensor device 700 may comprise sensor device 10 shown in FIGS. 1 and 2 that includes microprocessor 20 and memory 22 or armband sensor device 400 shown in FIGS. 12-17 that includes processing unit 490 and SRAM 610.
  • As shown schematically in FIG. 21, data may be input into stand alone sensor device 700 in a number of ways. Stand alone sensor device 700 may include one or more physiological sensors 705 as described herein for facilitating the collection of data indicative of various physiological parameters of the user. Stand alone sensor device 700 may also include one or more contextual sensors 710 as described herein for facilitating the collection of data indicative of various contextual parameters of the user. As indicated by reference number 715, stand alone sensor device 700 may be adapted to enable the manual entry of data by the user. For example, stand alone sensor device 700 may include a data input button, such as a button 470 of armband sensor device 400, through which a user could manually enter information such as information relating to various life activities of the user as described herein or information relating to the operation and/or control of stand alone sensor device 700, for example, the setting of reminders or alerts as described herein. In this example, activation of button 470 may simply record or time stamp that an event such as a meal has occurred, with the wearer needing to assign a meaning to that time stamp through data entry at a later time. Alternatively, activation of button 470 in certain sequences, such as one activation, two successive activations, three successive activations, etc., can be preset to have different specific meanings. A wearer would need to follow a menu or guide of such preset activation sequences to input relevant data. Alternatively, stand alone sensor device 700 may include a more sophisticated means for manual entry of information such as a keypad, a touch screen, a microphone, or a remote control device, for example a remote control device incorporated into a wristwatch. In the case of a microphone, the processor of stand alone sensor device 700 would be provided with well known voice recognition software or the like for converting the input speech into usable data.
  • As indicated by reference numbers 720 and 725, information comprising data indicative of various physiological and/or contextual parameters and data derived therefrom may be input into stand alone sensor device 700 through interaction with other devices. In addition, information such as handshake data or data indicative of various physiological and/or contextual parameters and data derived therefrom may be output from stand alone sensor device 700 to such other devices. According to one embodiment, the interaction is in the form of wireless communication between stand alone sensor device 700 and another device capable of wireless communication by way of a wireless transceiver provided in stand alone sensor device 700, such as wireless transceiver 565 shown and described in connection with FIG. 20. The device-to-device interaction may, as shown by reference number 720, be explicit, meaning that the user of stand alone sensor device 700 has knowingly initiated the interaction. For example, a user may activate a button on a scale to upload data to stand alone sensor device 700. The device-to-device interaction may also, as shown by reference number 725, be hidden, meaning that the user of stand alone sensor device 700 does not knowingly initiate the interaction. For example, a gym may have a sensor that wirelessly transmits a signal to sensing device 700 when the user enters and leaves the gym to time stamp when the user began and ended a workout.
  • As shown schematically in FIG. 21, information may be output or transmitted from stand alone sensor device 700 in a number of ways. Such information may include the data indicative of various physiological parameters and/or contextual parameters, the data derived therefrom, the data manually input by the user, the analytical status data, or any combination thereof. As shown by reference numbers 730, 735 and 740, information may be output or transmitted in an audible fashion such as by a series of tones or beeps or a recorded voice by a device such as a speaker, in a visual fashion such as by one or more LEDs, or in a tactile fashion such as by vibration. For example, stand alone sensor device 700 may be adapted to output a tone or tones, light an LED or LEDs, or vibrate as a reminder for an event, such as a reminder to eat or exercise at a particular time, or when a goal has been reached, such as a target number of calories burned during a workout, or a condition has been sensed, such as ovulation. Alternatively, stand alone sensor device 700 may be provided with a more sophisticated visual output means such as an LCD similar to those found on commercially available cell phones, pagers and personal digital assistants. With an LCD or a similar device and the expanded visual output capabilities it would provide, stand alone sensor device 700 may be adapted to output or transmit some or all of the information described in connection with FIGS. 5 through 11 in the same or a similar format. For example, stand alone sensor device 700 could provide analytical status data in the form of the Health Index to the user. As a further alternative, stand alone sensor device 700 may be coupled to computing device 750 such as a personal computer, a cell phone, a pager, a personal digital assistant, another stand alone sensor device 700 or any other device having a processor by either wired connection 755 or wireless connection 760. For example, battery recharger unit 480 shown in FIG. 19 may be used to provide the wired connection 755 or wireless connection 760. In this configuration, the display of the computing device could be used to visually output information from stand alone sensor device 700. It will be appreciated that since computing device 750 includes a sophisticated output means such as an LCD, it may be used to output or transmit to the user some or all of the information described in connection with FIGS. 5 through 11, such as the Health Index, in the same or a similar format.
  • Also, computing device 750 may in turn be used to control other devices, such as the lights or thermostat in a home, based on data output by stand alone sensor device 700, such as the fact that the wearer has fallen asleep or the fact that the wearer's skin temperature has reached a certain level. In other words, stand alone sensor device 700, and in particular its processor, may be adapted to cause a computing device 750 to trigger an event upon detection of one or more physiological and/or contextual conditions by stand alone sensor device 700. Alternatively, stand alone sensor device 700 may be adapted to cause a computing device 750 to trigger an event based upon information received from another computing device 750.
  • Stand alone sensor device 700 may be adapted to interact with and influence an interactive electronic media device, such as a video game, or non-interactive electronic media device, such as on a display device such as a DVD or digital video disc player playing a digitally recorded movie. For example, stand alone sensor device 700 may be adapted to transmit information relating to the physiological state of the wearer to the video game, which in turn adjusts the characteristics of the game, such as the level of difficulty. As another example, stand alone sensor device 700 may be adapted to transmit information relating to the physiological state of the wearer to the device displaying the digitally recorded movie which in turn adjusts the characteristics, such as the outcome, of the movie.
  • Furthermore, stand alone sensor device 700 may include location sensing device 765, such as an ultrasonic or a radio-frequency identification tag, for enabling a computing device 750 to detect the geographic location of stand alone sensor device 700, such as the location of stand alone sensor device 700 within a defined space such as a building. In one embodiment, a location indication causes computing device 750 to trigger an event, such as lowering the temperature in a room corresponding to the indicated location, preferably based on the detection by stand alone sensor device 700 of one or more physiological conditions of the wearer, such as skin temperature. In another embodiment, the location indication causes computing device 750 to trigger an event, such as lowering the temperature in a room corresponding to the indicated location, if stand alone sensor device 700 detects one or more physiological conditions, such as a skin temperature of the wearer being above a certain level. In addition, the input means of the is computing device, such as the mouse and keyboard of a personal computer, the keypad of a cell phone or pager, or the touch screen of a personal digital assistant, may be used to manually input information into stand alone sensor device 700.
  • The different modes of output may be used in combination to provide different types and levels of information to a user. For example, stand alone sensor device 700 could be worn by an individual while exercising and an LED or a tone can be used to signal that a goal of a certain number of calories burned has been reached. The user could then transmit additional data wirelessly from stand alone sensor device 700 to a computing device 750 such as a cell phone after he or she is finished exercising to view data such as heart rate and/or respiration rate over time.
  • As a further alternative embodiment of the present invention, rather than the processor provided in stand alone sensor device 700 being programmed and/or otherwise adapted to generate the derived data and to include the utilities and algorithms necessary to create analytical status data, computing device 750 could be so programmed. In this embodiment, stand alone sensor device 700 collects and/or generates the data indicative of various physiological and/or contextual parameters of the user, the data manually input by the user, and/or data input as a result of device-to-device interaction shown at 720 and 725, all of which is stored in the memory provided in stand alone sensor device 700. This data is then periodically uploaded to computing device 750 which in turn generates derived data and/or analytical status data. Alternatively, the processor of stand alone sensor device 700 could be programmed to generate the derived data with computing device 750 being programmed and/or otherwise adapted to include the utilities and algorithms necessary to create analytical status data based on data indicative of one or more physiological and/or contextual parameters, data derived therefrom, data manually input by the user and/or data input as a result of device-to-device interaction shown at 720 and 725 uploaded from stand alone sensor device 700. As still a further alternative, the processor of stand alone sensor device 700 could be programmed and/or otherwise adapted to include the utilities and algorithms necessary to create analytical status data based on data indicative of one or more physiological and/or contextual parameters, data derived therefrom, data manually input by the user and/or data input as a result of device-to-device interaction shown at 720 and 725 uploaded from stand alone sensor device 700 with computing device 750 being programmed to generate the derived data. In either alternative, any or all of the data indicative of physiological and/or contextual parameters of the user, the data derived therefrom, the data manually input by the user, the data input as a result of device-to-device interaction shown at 720 and 725 and the analytical status data may then be viewed by the user using the output means of the programmed computing device 750 or another computing device 750 to which the data is downloaded. In the latter alternative, everything but the analytical status data may also be output by stand alone sensor device 700 as described herein.
  • Computing device 750 in these alternative embodiments may be connected to an electronic network, such as the Internet, to enable it to communicate with central monitoring unit 30 or the like. The programming of computing device 750 that enables it to generate the derived data and/or the analytical status data may, with such a configuration, be modified or replaced by downloading the relevant data to computing device 750 over the electronic network.
  • As still a further alternative embodiment, computing device 750 may be provided with a custom written plug-in adapted to provide data display functionality through use of a well known browser program. In this embodiment, stand alone sensor device 700 collects and/or generates the data indicative of various physiological and/or contextual parameters of the user, the derived data, the data input by the user, data input as a result of device-to-device interaction shown at 720 and 725, and/or analytical status data based thereon and uploads this data to computing device 750. The plug-in provided in computing device 750 then generates appropriate display pages based on the data which may be viewed by the user using the browser provided with computing device 750. The plug-in may be modified/updated from a source such as central monitoring unit 30 over an electronic network such as the Internet.
  • Referring to FIGS. 22-26, an alternate embodiment of a sensor device is shown at 800. Sensor device 800 may be a specific embodiment of either sensor device 10 described in connection with FIGS. 1-11 or stand alone sensor device 700 described in connection with FIG. 21. Sensor device 800 includes housing 805 affixed to flexible section 810, which is similar to flexible wing body 410 shown in FIGS. 12-17. Flexible section 810 is adapted to engage, such as by wrapping around or conforming to, at least a portion of the human body, such as the upper arm, to enable sensor device 800, in combination with a removable strap 811 inserted through slots 812 provided in flexible section 810, to be worn on the body. Preferably, flexible section 810 is made of a material having a durometer of between 75 and 85 Shore A. Flexible section 810 may take on a variety of shapes and may be made of a cloth material, a flexible plastic film, or an elastic material having an adhesive similar in structure to a Band-Aide disposable adhesive bandage. In the embodiment shown in FIGS. 22-26, housing 805 is permanently affixed to flexible section 810, such as by an over molding or co-molding process, through the use of an adhesive material, or by a fastening mechanism such as one or more screws. Housing 805 includes top portion 815 affixed to bottom portion 820 by any known means, including, for example, an adhesive material, screws, snap fittings, sonic welding, or thermal welding. According to a preferred embodiment, a watertight seal is provided between top portion 815 and bottom portion 820. Such a water-tight seal is provided when sonic welding or thermal welding is used. Alternatively, an O-ring could be provided between top portion 815 and bottom portion 820 to create the water-tight seal.
  • As can be seen most readily in FIGS. 23, 24 and 26, affixed to bottom portion 820 of housing 805 are GSR sensors 825. GSR sensors 825 measure the conductivity of the skin between two points and may comprise electrodes formed of a material such as stainless steel, gold or a conductive carbonized rubber. Preferably, GSR sensors 825 have an oblong, curved shape as shown in FIG. 23, much like a kidney bean shape, that allows some portion of GSR sensors 825 to maintain contact with the body even if sensor device 800 is rocking or otherwise moving while being worn. Most preferably, GSR sensors 825 include raised bumps 830, or some other three-dimensional textured surface, along the surface thereof to perturb the skin and push between hairs to ensure good contact with the skin. In addition, raised bumps 830 provide channels for the movement of sweat underneath sensor device 800, rather than trapping sweat, no matter the orientation of sensor device with respect to the body. Also affixed to bottom portion 820 are heat flux skin interface component 835 and skin temperature skin interface component 840, each comprising a plate made of a thermally conductive material such as stainless steel. Preferably, heat flux skin interface component 835 and skin temperature skin interface component 840 are made of a material having thermal conduction properties of at least 12.9 W/mK, such as 304 stainless steel. Preferably, GSR sensors 825 are spaced at least 0.44 inches apart from one another, and at least 0.09 inches apart from heat flux skin interface component 835 and skin temperature skin interface component 840. GSR sensors 825, heat flux skin interface component 835 and skin temperature skin interface component 840 are adapted to be in contact with the wearer's skin when sensor device 800 is worn, and facilitate the measurement of GSR, heat flux from the body and skin temperature data. As can be seen most readily in FIGS. 22, 24 and 26, affixed to top portion 815 of housing 805 are heat flux ambient interface component 845 and ambient temperature interface component 850, which also are made of a thermally conductive material such as stainless steel, preferably a material having thermal conduction properties of at least 12.9 W/mK, such as 304 stainless steel. Heat flux ambient interface component 845 and ambient temperature interface component 850 facilitate the measurement of heat flux from the body and ambient temperature, respectively, by providing a thermal interface to the surrounding environment. To further enhance the measurement of these parameters, holes 855 are provided in flexible section 810 to expose heat flux ambient interface component 845 and ambient temperature interface component 850 to the ambient air. Preferably, holes 855 are sized so that flexible section 810 occludes as little skin as possible in the regions surrounding heat flux ambient interface component 845 and ambient temperature interface component 850 so as to allow air flowing off of the skin of the wearer to pass these components.
  • GSR Sensors 825, heat flux, skin interface component 835, skin temperature skin interface component 840, or any other sensing component that comes into contact with the skin may be provided with a plurality of microneedles for, among other things, enhancing electrical contact with the skin and providing real time access to interstitial fluid in and below the epidermis, which access may be used to measure various parameters such as pH level of the skin through electrochemical, impedance based or other well known methods. Microneedles enhance electrical contact by penetrating the stratum corneum of the skin to reach the epidermis. Such microneedles are well known in the art and may be made of a metal or plastic material. Prior art microneedles are described in, for example, U.S. Pat. No. 6,312,612 owned by the Procter and Gamble Company. Based on the particular application, the number, density, length, width at the point or base, distribution and spacing of the microneedles will vary.
  • Referring to FIG. 26, which is a cross-section taken along lines A-A in FIG. 22, the internal components of sensor device 800, housed within housing 805, are shown. Printed circuit board or PCB 860 is affixed to top portion 815 of housing 805 and receives and supports the electronic components provided inside housing 805. Affixed to a bottom side of PCB 860 and electronically coupled to GSR sensors 825 are contacts 865, which preferably comprise gold plated contact pins such as the Pogo® contacts available from Everett Charles Technologies in Pomona, Calif. Also affixed to the bottom side of PCB 860 is skin temperature thermistor 870, a suitable example of which is the model 100K6D280 thermistor manufactured by BetaTherm Corporation in Shrewsbury, Mass. Skin temperature thermistor 870 is, according to a preferred embodiment, thermally coupled to skin temperature skin interface component 840 by a thermally conductive interface material 875. Thermally conductive interface material 875 may be any type of thermally conductive interface known in the art, including, for example, thermally conductive gap fillers, thermally conductive phase change interface materials, thermally conductive tapes, thermally conductive cure-in-place compounds or epoxies, and thermal greases. Suitable thermally conductive interface materials include a boron nitride filled expanded polytetrafluoroethylene matrix sold under the trademark PolarChip CP8000 by W. L. Gore & Associates, Inc. and a boron nitride and alumina filled silicone elastomer on an adhesive backed 5 mil. (0.013 cm) thick aluminum foil carrier called A574, which is available from the Chomerics division of Parker Hannefin Corp. located in Woburn, Mass. Provided on top of PCB 860 is near-body ambient temperature thermistor 880, a suitable example of which is the model NTHS040ZN0IN100KJ thermistor manufactured by Vishay Intertechnology, Inc. in Malvern, Pa. Near-body ambient temperature thermistor 880 is thermally coupled to ambient temperature interface component 850 by thermally conductive interface material 875.
  • Still referring to FIG. 26, a preferred embodiment of sensor device 800 includes a particular embodiment of an apparatus for measuring heat flux between a living body and the ambient environment described in U.S. Pat. No. 6,595,929 B2 owned by the assignee hereof, the disclosure of which is incorporated herein by reference in its entirety. Specifically, heat conduit 885 is provided within housing 805. As used herein, the term heat conduit refers to one or more heat conductors which are adapted to singly or jointly transfer heat from one location to another, such as a conductor made of stainless steel. Heat conduit 885 is thermally coupled to heat flux skin interface component 835 by thermally conductive interface material 875. Provided on the bottom side of PCB 860 is a first heat flux thermistor 890A, and provided on the top side of PCB 860 is a second heat flux thermistor 890B. PCB 860 acts as a base member for supporting these components. It will be appreciated that a base member separate and apart from PCB 860 may be substituted therefor as an alternative configuration. A suitable example of both heat flux thermistors 890A and 890B is the model 100K6D280 thermistor manufactured by BetaTherm Corporation in Shrewsbury, Mass. Heat flux Thermistor 890A and 890B are soldered to pads provided on PCB 860. The second heat flux thermistor 890B is thermally coupled to heat flux ambient interface 845 by thermally conductive interface material 875. As is well-known in the art, PCB 860 is made of a rigid or flexible material, such as a fiberglass, having a preselected, known thermal resistance or resistivity K. The heat flux off of the body of the wearer can be determined by measuring a first voltage VI with heat flux thermistor 890A and a second voltage V2 with heat flux thermistor 890B. These voltages are then electrically differenced, such as by using a differential amplifier, to provide a voltage value that, as is well known in the art, can be used to calculate the temperature difference (T2−T1) between the top and bottom sides of PCB 860. Heat flux can then be calculated according to the following formula:

  • Heat Flux=K(T2−T1)
  • The combination of PCB 860 and heat flux thermistors 890A and 890B are thus a form of a heat flux sensor One advantage of the configuration of the apparatus for measuring heat flux shown in FIG. 26 is that, due to the vertical orientation of the components, assembly of the apparatus for measuring heat flux, and thus sensor device 800 as a whole, is simplified. Also adding to the simplicity is the fact that thermally conductive interface materials that include a thin adhesive layer on one or both sides may be used for thermally conductive interface materials 875, enabling components to be adhered to one another. In addition, thermistors 890A and 890B are relatively inexpensive components, as compared to an integral heat flux sensor such as those commercially available from RdF Corporation of Hudson, N.H., thereby reducing the cost of sensor device 800. Although heat flux thermistors 890A and 890B are described as being provided on PCB 860 in the embodiment shown in FIG. 26, it will be appreciated that any piece of material having a known resistivity K may be used. Furthermore, other temperature measuring devices known in the art, such as a thermocouple or thermopile, may be substituted for heat flux thermistors 890A and 890B. As a further alternative, heat conduit 885 may be omitted such that thermal communication between heat flux thermistor 890A and heat flux skin interface component 835 is provided by one or more pieces of thermally conductive interface material 875. As still a further alternative, heat flux skin interface component 835 may be omitted such that thermal communication between heat flux thermistor 890A and the skin is provided by either or both of heat conduit 885 and one or more pieces of thermally conductive interface material 875. In any of the embodiments described herein, the combination of one or more of heat conduit 885, one or more pieces of thermally conductive interface material 875, and heat flux skin interface component 835 act as a thermal energy communicator for placing heat flux thermistor 890A in thermal communication with the body of the wearer of sensor device 800.
  • FIG. 27 is a schematic diagram that shows an embodiment of the system architecture of sensor device 800, and in particular each of the components that is either provided on or coupled to PCB 860.
  • As shown in FIG. 27, PCB 860 includes processing unit 900, which may be a microprocessor, a microcontroller, or any other processing device that can be adapted to perform the functionality described herein, in particular the functionality described in connection with microprocessor 20 shown in FIG. 2, processing unit 490 shown in FIG. 20, or stand alone sensor device 700 shown in FIG. 21. A suitable example of processing unit 900 is the Dragonball EZ sold by Motorola, Inc. of Schaumburg, Ill. Also provided on PCB 860 is accelerometer 905, which may be either a two-axis or a three-axis accelerometer. A suitable example of a two-axis accelerometer is the Model ADXL202 accelerometer sold by Analog Devices, Inc. of Norwood, Mass., and a suitable example of a three-axis accelerometer is the model ACH-04-08-05 accelerator sold by Measurement Specialties Incorporated in Norristown, Pa. The output signals of accelerometer 905 are passed through buffers 910 and input analog to digital, referred to as A/D, converter 915 that in turn is coupled to processing unit 900. GSR sensors 825 are coupled to A/D converter 915 through current loop 920, low pass filter 925, and amplifier 930. Current loop 920 comprises an opamp and a plurality of resistors, and applies a small, fixed current between the two GSR sensors 825 and measures the voltage across them. The measured voltage is directly proportional to the resistance of the skin in contact with the electrodes. Similarly, heat flux thermistors 890A and 890B are coupled to A/D converter 915 and processing unit 900, where the heat flux calculations are performed, through low pass filter 935 and amplifier 940.
  • Battery monitor 945, preferably comprising a voltage divider with low pass filter to provide average battery voltage, monitors the remaining power level of rechargeable battery 950. Rechargeable battery 950 is preferably a LiIon/LiPolymer 3.7 V Cell. Rechargeable battery 950, which is the main power source for sensor device 800, is coupled to processing unit 900 through voltage regulator 955. Rechargeable battery 950 may be recharged either using recharger 960 or USB cable 965, both of which may be coupled to sensor device 800 through USB interface 970. Preferably, USB interface 970 is hermetically sealable, such as with a removable plastic or rubber plug, to protect the contacts of USB interface 970 when not in use.
  • PCB 860 further includes skin temperature thermistor 870 for sensing the temperature of the skin of the wearer of sensor device 800, and near-body ambient temperature thermistor 880 for sensing the ambient temperature in the area near the body of the wearer of sensor device 800. Each of these components is biased and coupled to processing unit 900 through A/D converter 915.
  • According to a specific embodiment of sensor device 800, PCB 860 may include one or both of an ambient light sensor and an ambient sound sensor, shown at 975 in FIG. 27, coupled to A/D converter 915. The ambient light sensor and ambient sound sensor may be adapted to merely sense the presence or absence of ambient light or sound, the state where a threshold ambient light or sound level has been exceeded, or a reading reflecting the actual level of ambient light or sound. A suitable example of an ambient sound sensor is the WM-60A Condenser Microphone Cartridge sold by Matsushita Electric Corporation of America located in Secaucus, N.J., and suitable examples of an ambient light sensor are the Optek OPR5500 phototransistor and the Optek OPR5910 photodiode sold by Optek Technology, Inc. located in Carrollton, Tex. In addition, PCB 860 may include ECG sensor 980, including two or more electrodes, for measuring the heart rate of the wearer, and impedance sensor 985, also including a plurality of electrodes, for measuring the impedance of the skin of the wearer. Impedance sensor 985 may also be an EMG sensor which gives an indication of the muscular activity of the wearer. The electrodes forming part of ECG sensor 980 or impedance sensor 985 may be dedicated electrodes for such sensors, or may be the electrodes from GSR sensors 825 multiplexed for appropriate measurements. ECG sensor 980 and impedance sensor 985 are each coupled to A/D converter 915.
  • PCB 860 further includes RF transceiver 990, coupled to processing unit 900, and antenna 995 for wirelessly transmitting and receiving data to and from wireless devices in proximity to sensor device 800. RF transceiver 990 and antenna 995 may be used for transmitting and receiving data to and from a device such as a treadmill being used by a wearer of sensor device 800 or a heart rate monitor worn by the wearer of sensor device 800, or to upload and download data to and from a computing device such as a PDA or a PC. In addition, RF transceiver 990 and antenna 995 may be used to transmit information to a feedback device such as a bone conductivity microphone worn by a fireman to let the fireman know if a condition that may threaten the fireman's safety, such as hydration level or fatigue level, has been sensed by sensor device 800. As described in detail in connection with FIG. 21, stand along sensor device 700 may be coupled to computing device 750 to enable data to be communicated therebetween. Thus, as a further alternative, RF transceiver 990 and antenna 995 may be used to couple sensor device 800 to a computing device such as computing device 750 shown in FIG. 21. Such a configuration would enable sensor device 800 to transmit data to and receive data from the computing device 750, for example a computing device worn on the wrist. The computing device could be used to enable a user to input data, which may then be stored therein or transmitted to sensor device 800, and to display data, including data transmitted from sensor device 800. The configuration would also allow for computing tasks to be divided between sensor device 800 and computing device 750, referred to herein as shared computing, as described in detail in connection with FIG. 21.
  • As shown in FIG. 27, PCB 860 may include proximity sensor 1000 which is coupled to processing unit 900 for sensing whether sensor device 800 is being worn on the body. Proximity sensor 1000 may also be used as a way to automatically power on and off sensor device 800. Proximity sensor preferably comprises a capacitor, the electrical capacitance of which changes as sensor device 800 gets closer to the body. PCB 860 may also include sound transducer 1005, such as a ringer, coupled to processing unit 900 through driver 1010.
  • Sensor device 800 may also be provided with sensors in addition to those shown in FIG. 27, such as those taught by U.S. Pat. No. 5,853,005, the disclosure of which is incorporated herein by reference. The '005 patent teaches a sound transducer coupled to a pad containing an acoustic transmission material. The pad and sound transducer may be used to sense acoustic signals generated by the body which in turn may be converted into signals representative of physiological parameters such as heart rate or respiration rate. In addition, rather than being integrated in sensor device 800 as part of one or more of housing 805, flexible section 810 or strap 811, a sensing apparatus as taught by the '005 patent may be provided separate from sensor device 800 and be coupled, wired or wirelessly, to sensor device 800. According to the '005 patent, the sound or acoustic transducer is preferably a piezoelectric, electret, or condenser-based hydrophone, similar to those used by the Navy in sonar applications, but can be any other type of waterproof pressure and motion sensing type of sensor.
  • The sensing apparatus as taught by the '005 patent is an example of what shall be referred to herein as a non-ECG heart parameter sensor, meaning that it has the following two qualities: (1) it does not need to make measurements across the torso using at least two contacts separated by some distance; and (2) it does not measure electrical activity of the heart. The sensing apparatus as taught by the '005 patent has been shown to be capable of detecting heart rate information and information relating to individual beats of the heart with high reliability under certain circumstances, depending primarily on factors including the proximity of the apparatus to the heart, the level of ambient noise, and motion related sound artifacts caused by the movement of the body. As a result, the sensing apparatus as taught by the '005 patent is most reliable when worn in an ambient environment with a low level of ambient noise and when the body is not moving.
  • Certain characteristics, sensors and sensing capabilities of sensor device 800 are able to improve the reliability and accuracy of an acoustic-based non-ECG heart parameter sensor 1012 such as the sensing apparatus as taught by the '005 patent that is incorporated therein or coupled thereto. For example, in one specific embodiment, sensor device 800 is particularly suited to be worn on the upper arm. The upper arm is a good location for a sensor device 800 having an acoustic-based non-ECG heart parameter sensor 1012 incorporated therein because it is near the heart and provides a space for sensor device that allows it to be unobtrusive and comfortable to wear. In addition, ambient sound sensor shown at 975 in FIG. 27 may be used to filter out ambient noise from the signals detected by the acoustic-based non-ECG heart parameter sensor 1012 in order to isolate the sound signals originating from the body. Filtering of the signal produced by an acoustic-based non-ECG heart parameter sensor 1012 such as the sensing apparatus as taught by the '005 patent in this manner may be used both in the case where such an apparatus is incorporated in sensor device 800 and in the case where it is separated from but coupled to sensor device 800 as described above. Furthermore, the sound generated from the motion of the body that is not created by the heart can be accounted for and adjusted for through the use of a sensor or sensors that detect or that may be used to identify body sounds generated as a result of motion of the body, such as accelerometer 905 shown in FIGS. 27 and 29 or the body position or muscle pressure sensors identified in Table 1. For example, footfalls create sound within the body that can lower the signal to noise ratio of an acoustic-based non-ECG heart parameter sensor 1012, which will likely result in false positive and false negative heart beat identifications. As is well known in the art, accelerometer 905 may function as a footfall indicator. Accelerometer 905 may thus be used to filter or subtract out from the signal detected by the acoustic-based non-ECG heart parameter sensor 1012 signals related sound motion artifacts caused by the movement of the body such as by footfalls.
  • Several methodologies for performing the filtering or subtracting of signals described herein are known to those of ordinary skill in the art. Such filtering or subtracting of signals used in connection with the monitoring of disparate signals, some used for noise cancellation and some used for their direct measure, is also known as data integration.
  • Sensor device 800 may also be used to put parameters around and provide a context for the readings made by a non-ECG heart parameter sensor 1012 so that inaccurate readings can be identified and compensated for. For example, sensor device 800 may be used to detect real time energy expenditure of the wearer as well as the type of activity in which the wearer is engaging, such as running or riding a bike. Thus, as another example of how the sensors and sensing capabilities of sensor device 800 may be used to increase the reliability and accuracy of a non-ECG heart parameter sensor 1012 through data integration, the energy expenditure and activity type information can be used to provide a context in which the heart related parameters detected by the non-ECG heart parameter sensor 1012 can be assessed and possibly filtered. For example, if sensor device 800 detects that a person is burning 13 calories per minute and is biking, and the non-ECG heart parameter sensor 1012 is indicating that the wearer's heart rate is 60 beats per minute, then it is highly likely that further filtration of the signal from the non-ECG heart parameter sensor 1012 is necessary.
  • Other well known non-ECG heart parameter sensing devices include, for example, those based on micro-power impulse radar technology, those based on the use of piezo-electric based strain gauges, and those based on plethysmography, which involves the measurement of changes in the size of a body part as modified by the circulation of blood in that part. It will be appreciated that the performance of these devices may also be enhanced through the use of data integration as described herein.
  • Another sensor that may be incorporated into the sensor device 800 measures the pressure with which sensor device 800 is held against the body of the wearer. Such a sensor could be capacitive or resistive in nature. One such instantiation places a piezo-resistive strain gauge on the back of the enclosure to measure the small deflection of the plastic as increasing force is applied. Data gathered from such a sensor can be used to compensate the readings of other sensors in sensor device 800 according to the readings of such as a sensor.
  • Also provided on PCB 860 and coupled to processing unit 900 is switch 1015. Switch 1015 is also coupled to button 1020 provided on housing 805. Button 1020, by activating switch 1015, may be used to enter information into sensor device 800, such as a time stamp to mark the occurrence of an event such taking medication. Preferably, button 1020 has a tactile, positive d-tent feedback when depressed, and a concave shape to prevent accidental depression. Also, in the embodiment shown in FIGS. 22-26, flexible section 810 includes membrane 1022 that covers and seals button 1020. In the embodiments shown in FIGS. 30-32, a similar membrane 1022 may be provided on flexible section 810, and, preferably, also on housing 805 such that button 1020 is sealed when housing 805 is removed from flexible section 810. Alternatively, a hole may be provided in flexible section 810 exposing button 1020 and membrane 1022 when housing 805 is attached to flexible section 810. In addition, coupled to processing unit 900 on PCB 860 are LCDs and/or LEDs 1025 for outputting information to the wearer. FIG. 28 shows an alternate embodiment of sensor device 800 in which LCD 1025 is provided on a top face of housing 805. As an alternative to LCDs or LEDs 1025, sensor device 800 may include a prior art electrochemical display that retains its ability to display information even when power is no longer being provided thereto. Such a display is described in U.S. Pat. No. 6,368,287 B1, the disclosure of which is incorporated herein by reference, and includes a plurality of markers comprising a miniature heating element and a coating of heat sensitive material. When current is passed through one of the heating elements, it heats up, thereby inducing a change in the color of the coating material. The color change is permanent, even after the heating element cools down. Such displays are relatively inexpensive and thus are well adapted for use in embodiments of sensor device 800 that are designed to be disposable, possibly single use, items.
  • Oscillator 1030 is provided on PCB 860 and supplies the system clock to processing unit 900. Reset circuit 1035 is coupled to processing unit 900 and enables processing unit to be reset to a standard initial setting.
  • Finally, non-volatile data storage device 1040, such as a FLASH memory chip, is provided for storing information collected and/or generated by sensor device 800. Preferably, data storage device 1040 includes at least 128K of memory. Non-volatile program storage device 1045, such as a FLASH ROM chip, is provided for storing the programs required to operate sensor device 800.
  • As an alternative, a microprocessor with integral A/D converters, data storage, and program storage may be substituted for processing unit 900, A/D converter 915, data storage device 1040 and non-volatile memory 1045. A suitable example of such a microprocessor is the Texas Instruments Model MSP430 processor.
  • Any component forming a part of sensor device 800 that comes in contact with the wearer's skin should not, in a preferred embodiment, degrade in durometer, elasticity, color or other physical or chemical properties when exposed to skin oils, perspiration, deodorant, suntan oils or lotions, skin moisturizers, perfume or isopropyl alcohol. In addition, such components preferably are hypoallergenic.
  • FIG. 29 shows an alternate embodiment of PCB 860 in which rechargeable battery 950, voltage regulator 955, recharger 960 and USB cable 965 have been replaced by disposable AAA battery 1050 and boost converter 1055. Boost converter 1055 uses an inductor to boost the voltage of AAA battery 1050 to the 3.0-3.3 V required to run the electronics on PCB 860. A suitable boost converter 1055 is the model MAX 1724 sold by Maxim Integrated Products, Inc. of Sunnydale, Calif.
  • Referring to FIGS. 30 and 31, an alternate embodiment of sensor device 800 is shown in which housing 805 is removably attached to flexible section 810. As shown in FIGS. 30 and 31, housing 805 is provided with groove 1060 along the outer edge thereof which is adapted to receive therein tongue 1065 provided on the bottom side of flexible section 810 for securely but removably attaching housing 805 to flexible section 810. Through the interaction of groove 1060 and tongue 1065, housing 805 may thus be readily popped in and out of flexible section 810. Such a configuration enables housing 805 to be readily attached to multiple flexible sections having sizes and shapes that are different than flexible section 810 as long as the flexible section includes a tongue similar to tongue 1065. Such alternate flexible sections may be sized and shaped to fit on particular parts of the body, such as the calf or thigh, and may comprise a garment such as a shirt having the tongue or tongues located in places of interest, such as the upper arm or upper left chest, the latter enabling housing 805 to be positioned over the heart of the wearer, as shown in FIGS. 40A and 40B. U.S. Pat. No. 6,527,711, owned by the assignee of the present application and incorporated herein by reference, identifies several locations on the body that are particularly well adapted to receive particularly sized and shaped sensor devices so as to avoid interference with the motion and flexibility of the body. As will be appreciated by those of skill in the art, groove 1060 and tongue 1065 may be swapped such that groove 1060 is provided in flexible section 810 and tongue 1065 is provided on housing 805. As will also be appreciated by those of skill in the art, multiple alternative structures exist for securely but removably attaching housing 805 to flexible section 810. These alternative structures include, without limitation, temporary adhesives, screws, a tight fit between having 805 and flexible section 810 that holds the two together by friction, magnets provided in each of housing 805 and flexible section 810, well-known snaps and snapping mechanisms, a threaded portion provided on housing 805 adapted to be received by threads in flexible section 810, an O-ring or similar elastic band adapted to fit around a portion of flexible section 810 and into a groove provided in housing 805 when flexible section 810 is placed over housing 805, or merely pressure when housing 805 is placed on the body and flexible section 810 is placed thereover and attached to the body such as by strap 811. Referring to FIG. 32, a still further alternative structure for removably securing flexible section 810 to housing 805 is shown in which flexible section 810 comprises and elastic or similar band that is adapted to fit into a groove 1062 provided in housing 805. Housing 805 and flexible section 810 may then be placed on the body and held in place by strap 811 or the like inserted through gaps 1064 between housing 805 and flexible section 810.
  • FIG. 33 shows an alternate embodiment of sensor device 800 as shown in FIGS. 30 and 31 that is adapted to automatically adjust or alter the operating parameters of sensor device 800, such as its functionality, settings or capabilities, depending on the particular flexible section to which housing 805 is attached. For example, the calculation of a parameter, such as energy expenditure, may depend on information that is particular each individual, such as age, height, weight, and sex. Rather than having each individual enter that information in sensor device 800 each time he or she wants to wear the device, each individual that is going to wear the device could enter the information once and have their own flexible section that causes sensor device to make measurements based on his or her particular information. Alternatively, the memory in sensor device 800 for storage of user data may be divided into several compartments, one for each user, so as to avoid co-mingling of user data. Sensor device 800 may be adapted to alter where collected data is stored depending on the particular flexible section that is being used. In addition, sensor device 800 may be calibrated and recalibrated differently over time depending on the particular flexible section to which housing 805 is attached as it learns about each particular wearer and his or her habits, demographics and/or activities.
  • According to a particular embodiment, housing 805 is provided with first magnetic switch 1070 and second magnetic switch 1075, each on PCB 860. Provided on or inside flexible section 810, such as by an insert molding technique, is magnet 1080. Magnet 1080 is positioned on or inside flexible section 810 such that it aligns with and thereby activates one of first magnetic switch 1080 and second magnetic switch 1075 when housing 805 is attached to flexible section 810. In the embodiment shown in FIG. 33, second magnetic switch 1075 will be activated. A second flexible section 810 similar to flexible section 810 shown in FIG. 33 will also be provided, the difference being that the magnet 1080 provided therewith will be positioned such that first magnetic switch 1070 is activated when housing 805, the same housing 805 shown in FIG. 33, is attached to the second flexible section 810. Housing 805, and in particular processing unit 900, may be programmed to alter its functionality, settings or capabilities depending on which one of first magnetic switch 1070 and second magnetic switch 1075 is activated, i.e., which particular flexible section 810 is being used. Thus, a husband and wife may share a single housing 805 but have different flexible wings 810 with magnets 1080 located in different places. In such a case, housing 805 may be programmed to operate with functionality, settings or capabilities particular to the husband when first magnetic switch 1070 is activated, and with functionality, settings or capabilities particular to the wife when second magnetic switch 1075 is activated. Although only two magnetic switches are shown in FIG. 33, it will be appreciated that multiple magnetic switches and multiple flexible sections may be used to allow sensor device 800 to be programmed for multiple wearers, such as an entire family, with each family member having his or her own flexible section. As still a further alternative, multiple flexible sections may be provided that are adapted to be worn on different parts of the body, each having a magnet placed in a different location. Housing 805 may then be programmed to have functionality, settings or capabilities particular to the type of sensing to be done on each different part of the body, with magnetic switches placed so as to be activated when housing 805 is attached to the appropriate flexible section. Sensor device 800 according to this embodiment is thus a “smart” device. As will be appreciated by one of skill in the art, many alternatives to first and second magnetic switches 1070 and 1075 and magnet 1080 may be used to provide the functionality described in connection with FIG. 33. Such alternatives include, without limitation, mechanical switches provided in housing 805 that are activated by a protruding portion, such as a pin, provided at a particular location on flexible section 810, optical switches comprising an array of light sensors provided in housing 805 that are activated when the surrounding light is blocked, reflected or filtered in a particular way with one or more translucent sections and a single opaque, reflective or filtering section being selectively provided on flexible section 810 at particular locations, the translucent sections not activating the corresponding optical switches and the opaque, reflective or filtering section activating the corresponding optical switch, electronic switches provided in housing 805 activated by a conductor provided in particular locations in flexible section 810. As still a further alternative, housing 805 may be provided with multiple switches and each flexible section 810 may be provided with one or more switch activators positioned to activate certain selected switches. The operating parameters of housing 805 would in this embodiment be adapted to change depending upon the particular set of one or more switches that are activated. This embodiment thus employs an encoding scheme to alter the operating parameters of housing 805 depending on which flexible section 810 is used. As still a further alternative, housing 805 may be provided with a single switch adapted to alter the operating parameters of housing 805 depending upon the way in which or state in which it is activated, such as by the properties of the switch activators. For example, the switch may be a magnetic switch that is activated a plurality of different ways depending upon the magnetic level or strength of the magnet provided in each flexible section 810. A plurality of flexible sections 810 could then be provided, each having a magnet of a different strength. In addition, any particular flexible section 810 may be provided with a plurality of magnets having different strengths with each magnet being able to activate the switch in housing 805 in a different manner. Such a flexible section 810 would be able to selectively trigger different operating parameters of housing 805, such as by rotating a portion of flexible wing 805 to align a particular magnet with the switch. As an alternative, the switch could be an electrical switch and the switch activators could be conductors having different resistances. The switch would, in this embodiment, be activated in different ways depending on the measured resistance of the switch activator that closes the circuit.
  • Referring to FIG. 34, as still a further embodiment of sensor device 800, housing 805 may be provided with adhesive material 1085 on a back side thereof to enable housing 805 to be removably attached to selected portions of the body, such as the upper left chest over the heart, without flexible section 810. Adhesive material 1085 may be any well-known adhesive that would securely attach housing 805 to the body and enable it to be worn for a period of time, but that would also readily enable housing 805 to be removed from the body after use. Adhesive material 1085 may comprise, for example, a double sided adhesive foam backing that would allow for comfortable attachment of housing 805 to the body. Furthermore, housing 805 may be made of a well-known flexible plastic film or the like, such as that taught in U.S. Pat. No. 6,368,287 B1, the disclosure of which is incorporated herein by reference, that would, due to low cost, enable sensor device 800 to be disposable. Such a disposable sensor device may also include an electrochemical display described above to enhance its disposability. In an embodiment adapted for placement over the upper left chest or any other appropriate region for detecting heart related parameters, sensor device 800 would include one or more sensors described herein for sensing heart related parameters such as heart rate, beat-to-beat or interbeat variability, ECG or EKG, pulse oximetry, heart sounds, such as detected with a microphone, and mechanical action of the heart, such as detected with ultrasound or micro-pulse radar devices.
  • FIGS. 35A-H and 36A-H illustrate aspects of the present invention relating to the ergonomic design of sensor device 800. Referring to FIGS. 35A and 35B, a housing 1100 of a prior art sensor device having a rectangular cross-section is shown resting on the body 1110 of a wearer of the prior art sensor device. As seen in FIG. 35B, when body 1110 flexes and forms a concavity, as may happen many times each minute on various parts of the body or for extended periods of time depending on the position of various body parties during particular activities, a significant portion of housing 1100 is caused to be removed from body 1110. When housing 1100 is caused to be removed in this manner, the ability of the prior art sensor device to accurately make measurements and collect data will be jeopardized, especially for any readings to be taken near the center of the cross-section indicated by the arrows in FIG. 35B.
  • FIGS. 35C-H illustrate a cross-section of housing 805 of sensor device 800 taken along lines C-C shown in FIG. 23 according to various aspects of the present invention. The cross-section shown in FIGS. 35C-H is taken near the middle portion of housing 805 shown in FIG. 23 between GSR sensors 825. As seen in FIG. 35C, bottom surface 1115 of housing 805 is provided with a generally convex shape such that, when body 1110 flexes and forms a concavity, a substantial portion of bottom surface 1115 of housing 805 remains in contact with body 1110 by fitting into the concavity. As seen in FIG. 35D, when body 1110 flexes in the opposite direction so as to create a convexity, the center portion of housing 805, indicated by the arrow in FIG. 35D, remains in contact with body 1110. As shown in FIG. 35E, this is true even if housing 805 were to rock within the concavity formed in body 1110. Referring to FIG. 35F, body 1110 may, at times, flex to an extreme degree, i.e., more than the anticipated maximum that it was designed for, such that, even if bottom surface 1115 is provided with a convex shape, it may still cause bottom surface 1115 to be removed from body 1110. A solution to this problem is illustrated in FIG. 35G, wherein the lateral ends 1120A and 1120B of housing 805 are provided with radiused portions 1125A and 1125B, respectively adjacent to and including opposite lateral ends of bottom surface 1115. Radiused portions 1125A and 1125B enable housing 805 to sit lower and fit into the concavity created when body 1110 flexes to an extreme degree. In addition, radiused portions 1125A and 1125B provide for more comfortable wear as they eliminate sharp edges 1130A and 1130B shown in FIG. 35F that contact body 1110. FIG. 35H shows how body 1110 will tend to conform to the shape of housing 805 due at least in part to the viscosity of the skin when body 1110 is in a relaxed condition.
  • FIG. 36A shows a cross-section of housing 1100 of prior art sensor device taken along a line perpendicular to the line on which the cross-section shown in FIGS. 35A and 35B was taken. As seen in FIG. 36A, when housing 1100 is placed on a convex portion of body 1110, significant portions of housing 1100, specifically the lateral ends thereof indicated by the arrows in FIG. 36A, are not in contact body 1110. FIGS. 36B-H show a cross-section of housing 805 according to various aspects of the present invention taken along lines D-D shown in FIG. 23. As seen in FIG. 36B, bottom surface 1115 of housing 805 is provided with a generally concave shape adapted to receive the convex portion of body 1110. Referring to FIG. 36C, lateral ends 1130A and 1130B may be provided with radiused portions 1135A and 1135B adjacent to and including opposite lateral ends of bottom surface 1115, which allow housing 805 to rest in closer contact with body 1110, even when body 1110 flexes to an extreme degree, i.e., more than the anticipated maximum that it was designed for, and remove sharp edges 1140A and 1140B shown in FIG. 36B, providing for more comfortable wear. As shown in FIG. 36D, body 1110 will tend to conform to the shape of housing 805 when body 1110 is in a relaxed condition. As shown in FIGS. 36E and 36F, good contact with body 1110 is maintained at the points illustrated by the arrows when body 1110 is flexed in a manner that decreases the convex shape thereof or that creates a convexity therein. Thus, it will be appreciated that it is advantageous to place sensors or sensing elements at the points indicated by the arrows because those points will tend to remain in contact with body 1110. FIGS. 36G and 36H, showing, for example, heat flux skin interface component 835 and skin temperature skin interface component 840 placed at the points indicated by the arrows, illustrate this point. As seen in FIGS. 36G and 36H, there is more than point contact between body 1110 and skin temperature skin interface component 840.
  • FIG. 37 is an isometric view of housing 805 according to an embodiment of the present invention in which bottom surface 1115 has both the generally convex shape shown in FIGS. 35C-H and the generally concave shape shown in FIGS. 36B-H. Specifically, bottom surface 1115, which is the inner surface of housing 805 for mounting adjacent to the body of the wearer, includes a longitudinal axis 1141 and a transverse axis 1142. Bottom surface 115 has a generally concave shape having an axis of concavity 1143 that is coincident with longitudinal axis 1141, meaning that it runs in a first direction from first lateral end 1144 of inner surface 1115 to second lateral end 1145 of inner surface 1115. Bottom surface 1115 has a generally convex shape having an axis of convexity 1146 that is coincident with transverse axis 1142, meaning that it runs in a second direction from third lateral end 1147 of inner surface 1115 to fourth lateral end 1148 of inner surface 1115. As seen if FIG. 37, the first and second directions, and longitudinal axis 1141 and transverse axis 1142, are generally perpendicular to one another.
  • Referring to FIGS. 38A-D, it will be appreciated that housing 805 having a flat top surface 1150 and flat lateral ends 1130A and 1130B may tend to be jostled and bumped by object 1155, such as a wall or door or the corner or edge of a drawer, cabinet or desk, thereby moving housing 805 on body 1110 because such flat surfaces are not well adapted to deflect object 1155. Movement of housing 805 on body 1110 will detrimentally effect the ability of sensor device 800 to accurately make measurements and collect data. FIGS. 39A-G illustrate various aspects of the present invention that are adapted to deflect object 1155 and substantially prevent movement of housing 805 on body 1110. In addition, the forms shown in FIGS. 39A-G increase the durability of sensor device 800 and make it easier to put on and wear clothing and the like, such as a wetsuit, over sensor device 800. As seen in FIG. 39A, housing 805 may have tapered sides 1160A and 1160B such that the width of housing 805 decreases in the direction from bottom surface 1115 to top surface 1150. Alternatively, referring to FIG. 39B, top surface 1150 of housing 805 may have a convex shape. As a further alternative, as seen in FIG. 39C, housing 805 may be provided with radiused portions 1165A and 1165B that meet with radiused portions 1135A and 1135B such that the lateral ends of housing 805 have a substantially semicircular shape. As shown in FIG. 39D, housing 805 may have both tapered sides 1160A and 1160B and a top surface 1150 with a convex shape. FIG. 39E is a modification of housing 805 shown in FIG. 39E in which the points 1170A and 1170B where radiused portions 1135A and 1135B meet tapered sides 1160A and 1160B, respectively, are themselves radiused. FIG. 39F is a variation of housing 805 shown in FIG. 39E having elongated tapered sides 1160A and 1160B. FIG. 39G shows how the ability of housing 805, such as the embodiment shown in FIG. 39E, to deflect object 1155 may be enhanced by the addition of flexible section 810 having a substantially convex outer surface. In addition, an air channel is provided between flexible section 810 and body 1110 to allow for heat to flow away from body 1110.
  • The terms and expressions which have been employed herein are used as terms of description and not as limitation, and there is no intention in the use of such terms and expressions of excluding equivalents of the features shown and described or portions thereof, it being recognized that various modifications are possible within the scope of the invention claimed. Although particular embodiments of the present invention have been illustrated in the foregoing detailed description, it is to be further understood that the present invention is not to be limited to just the embodiments disclosed, but that they are capable of numerous rearrangements, modifications and substitutions.

Claims (15)

1-201. (canceled)
202. A wearable body monitoring device, comprising
a housing 805;
a flexible section 810 that extends from said housing 805; and
a sensor within said flexible section 810, said sensor operable to sense a particular condition in response to contact with a wearer.
203. The device as recited in claim 202, wherein said housing contains a PCB in communication with said sensor.
204. The device as recited in claim 202, wherein said housing contains a rechargeable battery.
205. The device as recited in claim 202, wherein said housing contains a vibrating motor 455.
206. The device as recited in claim 202, wherein said housing 805 is permanently affixed to flexible section 810.
207. The device as recited in claim 202, wherein said flexible section 810 overmolds said housing 805.
208. The device as recited in claim 202, wherein said flexible section 810 is co-molded with said housing 805.
209. The device as recited in claim 202, wherein said flexible section 810 and said housing 805 are manufactured of an elastomeric material.
210. The device as recited in claim 202, further comprising a strap 415 that extends from said flexible section 810.
211. The device as recited in claim 210, wherein said flexible section 810 and at least a portion 435 of said housing forms a single unit.
212. The device as recited in claim 210, further comprising a housing that contains said processor, said housing includes a liquid crystal display.
213. The device as recited in claim 202, further comprising a processing unit 490 in communication with said sensor, said processor operable to determine a time.
214. The device as recited in claim 213, wherein said processing unit 490 is operable to time stamp an event.
215. The device as recited in claim 214, further comprising a button 470 that is adapted to effectuate said time stamp.
US14/292,368 2002-08-22 2014-05-30 Flexible wearable body monitor device with sensor Abandoned US20140275812A1 (en)

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US10/227,575 US7020508B2 (en) 2002-08-22 2002-08-22 Apparatus for detecting human physiological and contextual information
US11/239,748 US20060264730A1 (en) 2002-08-22 2005-09-30 Apparatus for detecting human physiological and contextual information
US14/292,368 US20140275812A1 (en) 2002-08-22 2014-05-30 Flexible wearable body monitor device with sensor

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US10/227,575 Expired - Lifetime US7020508B2 (en) 2002-08-22 2002-08-22 Apparatus for detecting human physiological and contextual information
US11/239,748 Abandoned US20060264730A1 (en) 2002-08-22 2005-09-30 Apparatus for detecting human physiological and contextual information
US11/927,276 Abandoned US20080287817A1 (en) 2002-08-22 2007-10-29 Apparatus for detecting human physiological and contextual information
US11/927,365 Abandoned US20080287751A1 (en) 2002-08-22 2007-10-29 Apparatus for detecting human physiological and contextual information
US14/058,539 Abandoned US20140180022A1 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,493 Abandoned US20140180020A1 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,563 Expired - Fee Related US9168001B2 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,485 Abandoned US20140180137A1 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,501 Expired - Fee Related US8979763B2 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/292,735 Abandoned US20140275813A1 (en) 2002-08-22 2014-05-30 Wearable body monitor device with a flexible section and sensor therein
US14/292,105 Abandoned US20140276192A1 (en) 2002-08-22 2014-05-30 Wearable body monitor device with a processing unit operable to tell time
US14/292,368 Abandoned US20140275812A1 (en) 2002-08-22 2014-05-30 Flexible wearable body monitor device with sensor
US15/079,041 Abandoned US20160310022A1 (en) 2002-08-22 2016-03-23 Apparatus for detecting human physiological and contextual information

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US11/927,276 Abandoned US20080287817A1 (en) 2002-08-22 2007-10-29 Apparatus for detecting human physiological and contextual information
US11/927,365 Abandoned US20080287751A1 (en) 2002-08-22 2007-10-29 Apparatus for detecting human physiological and contextual information
US14/058,539 Abandoned US20140180022A1 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,493 Abandoned US20140180020A1 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,563 Expired - Fee Related US9168001B2 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,485 Abandoned US20140180137A1 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/058,501 Expired - Fee Related US8979763B2 (en) 2002-08-22 2013-10-21 Adhesively mounted apparatus for determining physiological and contextual status
US14/292,735 Abandoned US20140275813A1 (en) 2002-08-22 2014-05-30 Wearable body monitor device with a flexible section and sensor therein
US14/292,105 Abandoned US20140276192A1 (en) 2002-08-22 2014-05-30 Wearable body monitor device with a processing unit operable to tell time

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Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9582072B2 (en) 2013-09-17 2017-02-28 Medibotics Llc Motion recognition clothing [TM] with flexible electromagnetic, light, or sonic energy pathways
US9582035B2 (en) 2014-02-25 2017-02-28 Medibotics Llc Wearable computing devices and methods for the wrist and/or forearm
WO2017099428A1 (en) * 2015-12-07 2017-06-15 Samsung Electronics Co., Ltd. Flexible electronic device and method of operating same
US9782082B2 (en) 2012-11-01 2017-10-10 Blue Spark Technologies, Inc. Body temperature logging patch
US10130277B2 (en) 2014-01-28 2018-11-20 Medibotics Llc Willpower glasses (TM)—a wearable food consumption monitor
US20190008216A1 (en) * 2011-11-28 2019-01-10 Roka Sports, Inc. Swimwear design and construction
US10234934B2 (en) 2013-09-17 2019-03-19 Medibotics Llc Sensor array spanning multiple radial quadrants to measure body joint movement
US10314492B2 (en) 2013-05-23 2019-06-11 Medibotics Llc Wearable spectroscopic sensor to measure food consumption based on interaction between light and the human body
US10321873B2 (en) 2013-09-17 2019-06-18 Medibotics Llc Smart clothing for ambulatory human motion capture
US10429888B2 (en) 2014-02-25 2019-10-01 Medibotics Llc Wearable computer display devices for the forearm, wrist, and/or hand
US10602965B2 (en) 2013-09-17 2020-03-31 Medibotics Wearable deformable conductive sensors for human motion capture including trans-joint pitch, yaw, and roll
US10699247B2 (en) 2017-05-16 2020-06-30 Under Armour, Inc. Systems and methods for providing health task notifications
US10716510B2 (en) 2013-09-17 2020-07-21 Medibotics Smart clothing with converging/diverging bend or stretch sensors for measuring body motion or configuration
US10792551B2 (en) 2016-12-15 2020-10-06 Robbie Green, JR. Space saving device
US11363992B2 (en) * 2017-12-04 2022-06-21 Advancing Technologies, Llc Wearable device utilizing flexible electronics

Families Citing this family (938)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7048870B1 (en) * 1993-12-20 2006-05-23 Astrazeneca Ab Metallic implant and process for treating a metallic implant
US8280682B2 (en) 2000-12-15 2012-10-02 Tvipr, Llc Device for monitoring movement of shipped goods
US6266623B1 (en) 1994-11-21 2001-07-24 Phatrat Technology, Inc. Sport monitoring apparatus for determining loft time, speed, power absorbed and other factors such as height
US6811516B1 (en) * 1999-10-29 2004-11-02 Brian M. Dugan Methods and apparatus for monitoring and encouraging health and fitness
EP1278456A2 (en) 2000-05-05 2003-01-29 Hill-Rom Services, Inc. Patient point of care computer system
AU2001259828A1 (en) 2000-05-05 2001-11-20 Hill-Rom Services, Inc. Remote control for a hospital bed
US7689437B1 (en) 2000-06-16 2010-03-30 Bodymedia, Inc. System for monitoring health, wellness and fitness
US20060122474A1 (en) * 2000-06-16 2006-06-08 Bodymedia, Inc. Apparatus for monitoring health, wellness and fitness
BRPI0414359A (en) 2000-06-16 2006-11-14 Bodymedia Inc body weight monitoring and management system and other psychological conditions that include interactive and personalized planning, intervention and reporting
ES2260245T3 (en) 2000-06-23 2006-11-01 Bodymedia, Inc. SYSTEM TO CONTROL HEALTH, WELFARE AND EXERCISE.
US7038595B2 (en) 2000-07-05 2006-05-02 Seely Andrew J E Method and apparatus for multiple patient parameter variability analysis and display
US20020160883A1 (en) 2001-03-08 2002-10-31 Dugan Brian M. System and method for improving fitness equipment and exercise
US8939831B2 (en) 2001-03-08 2015-01-27 Brian M. Dugan Systems and methods for improving fitness equipment and exercise
US20070111858A1 (en) * 2001-03-08 2007-05-17 Dugan Brian M Systems and methods for using a video game to achieve an exercise objective
US6748250B1 (en) * 2001-04-27 2004-06-08 Medoptix, Inc. Method and system of monitoring a patient
US20090137888A9 (en) * 2001-04-27 2009-05-28 Berman Herbert L System for monitoring of patients
EP1256316A1 (en) 2001-05-07 2002-11-13 Move2Health B.V. Portable device comprising an acceleration sensor and method of generating instructions or advice
US7044911B2 (en) * 2001-06-29 2006-05-16 Philometron, Inc. Gateway platform for biological monitoring and delivery of therapeutic compounds
DK1414340T3 (en) * 2001-08-06 2013-10-14 Bodymedia Inc Apparatus for monitoring health, health and fitness
US8195597B2 (en) * 2002-02-07 2012-06-05 Joseph Carrabis System and method for obtaining subtextual information regarding an interaction between an individual and a programmable device
US6850788B2 (en) 2002-03-25 2005-02-01 Masimo Corporation Physiological measurement communications adapter
US20070100666A1 (en) * 2002-08-22 2007-05-03 Stivoric John M Devices and systems for contextual and physiological-based detection, monitoring, reporting, entertainment, and control of other devices
US7020508B2 (en) 2002-08-22 2006-03-28 Bodymedia, Inc. Apparatus for detecting human physiological and contextual information
US7289837B2 (en) 2002-10-01 2007-10-30 Nellcor Puritan Bennett Incorpoated Forehead sensor placement
US7727181B2 (en) * 2002-10-09 2010-06-01 Abbott Diabetes Care Inc. Fluid delivery device with autocalibration
US20090177068A1 (en) 2002-10-09 2009-07-09 Stivoric John M Method and apparatus for providing derived glucose information utilizing physiological and/or contextual parameters
US7993108B2 (en) 2002-10-09 2011-08-09 Abbott Diabetes Care Inc. Variable volume, shape memory actuated insulin dispensing pump
MXPA05003688A (en) * 2002-10-09 2005-09-30 Bodymedia Inc Method and apparatus for auto journaling of continuous or discrete body states utilizing physiological and/or contextual parameters.
EP1552146B1 (en) 2002-10-09 2011-04-20 Abbott Diabetes Care Inc. Fluid delivery device, system and method
US9107615B2 (en) 2002-12-18 2015-08-18 Active Protective Technologies, Inc. Method and apparatus for body impact protection
EP1578262A4 (en) 2002-12-31 2007-12-05 Therasense Inc Continuous glucose monitoring system and methods of use
CN100401973C (en) * 2003-01-07 2008-07-16 皇家飞利浦电子股份有限公司 Method and apparatus for communicating with a medical device
US7480512B2 (en) * 2004-01-16 2009-01-20 Bones In Motion, Inc. Wireless device, program products and methods of using a wireless device to deliver services
US7423526B2 (en) * 2003-01-29 2008-09-09 Despotis George J Integrated patient diagnostic and identification system
US7269455B2 (en) * 2003-02-26 2007-09-11 Pineda Jaime A Method and system for predicting and preventing seizures
FR2853119B1 (en) * 2003-03-25 2007-06-29 Aphycare Technologies DEVICE FOR MEASURING AT LEAST ONE FLEXIBLE MEMBRANE PHYSIOLOGICAL INFORMATION, CORRESPONDING SENSOR MODULE AND METHOD OF MANUFACTURE
US7587287B2 (en) 2003-04-04 2009-09-08 Abbott Diabetes Care Inc. Method and system for transferring analyte test data
SG182002A1 (en) * 2003-04-15 2012-07-30 Sensors For Med & Science Inc System and method for attenuating the effect of ambient light on an optical sensor
US7460899B2 (en) * 2003-04-23 2008-12-02 Quiescent, Inc. Apparatus and method for monitoring heart rate variability
US7182738B2 (en) 2003-04-23 2007-02-27 Marctec, Llc Patient monitoring apparatus and method for orthosis and other devices
US7679407B2 (en) 2003-04-28 2010-03-16 Abbott Diabetes Care Inc. Method and apparatus for providing peak detection circuitry for data communication systems
US8071028B2 (en) * 2003-06-12 2011-12-06 Abbott Diabetes Care Inc. Method and apparatus for providing power management in data communication systems
US7047056B2 (en) * 2003-06-25 2006-05-16 Nellcor Puritan Bennett Incorporated Hat-based oximeter sensor
US7722536B2 (en) * 2003-07-15 2010-05-25 Abbott Diabetes Care Inc. Glucose measuring device integrated into a holster for a personal area network device
WO2005018432A2 (en) * 2003-08-20 2005-03-03 Philometron, Inc. Hydration monitoring
US7399205B2 (en) 2003-08-21 2008-07-15 Hill-Rom Services, Inc. Plug and receptacle having wired and wireless coupling
US7559902B2 (en) * 2003-08-22 2009-07-14 Foster-Miller, Inc. Physiological monitoring garment
US8412297B2 (en) 2003-10-01 2013-04-02 Covidien Lp Forehead sensor placement
JP2005124914A (en) * 2003-10-24 2005-05-19 Omron Healthcare Co Ltd Impedance measuring device and health care guideline advice apparatus
US7199720B1 (en) * 2003-11-19 2007-04-03 Michael Shapiro Hearing protection warning device
EP1694196B1 (en) * 2003-11-27 2011-10-19 Solianis Holding AG Techniques for determining glucose levels
US8197406B2 (en) * 2003-12-02 2012-06-12 Biovotion Ag Device and method for measuring a property of living tissue
US20050137464A1 (en) * 2003-12-23 2005-06-23 Bomba Frank C. Wireless sensor and sensor initialization device and method
CA2553750A1 (en) * 2004-01-19 2005-07-28 Teca S.R.L. Product for measuring the effectiveness and efficiency of warming-up and winding-down physical exercises and training equipment comprising said product
WO2005089103A2 (en) * 2004-02-17 2005-09-29 Therasense, Inc. Method and system for providing data communication in continuous glucose monitoring and management system
GB2411719B (en) * 2004-03-04 2008-02-06 Leon Thomas Lee Marsh Hydration monitor
US8523571B1 (en) * 2004-03-09 2013-09-03 Avirat, Inc. Family organization and communication tool
EP1734858B1 (en) * 2004-03-22 2014-07-09 BodyMedia, Inc. Non-invasive temperature monitoring device
US7461560B2 (en) * 2005-03-28 2008-12-09 Microstrain, Inc. Strain gauge with moisture barrier and self-testing circuit
CA2572455C (en) * 2004-06-04 2014-10-28 Therasense, Inc. Diabetes care host-client architecture and data management system
ATE433301T1 (en) * 2004-06-07 2009-06-15 Solianis Holding Ag METHOD AND DEVICE FOR DETERMINING A PARAMETER IN LIVING TISSUE
US7206630B1 (en) * 2004-06-29 2007-04-17 Cleveland Medical Devices, Inc Electrode patch and wireless physiological measurement system and method
US20060020216A1 (en) * 2004-07-20 2006-01-26 Sharp Kabushiki Kaisha Medical information detection apparatus and health management system using the medical information detection apparatus
US7344500B2 (en) * 2004-07-27 2008-03-18 Medtronic Minimed, Inc. Sensing system with auxiliary display
WO2006010197A1 (en) * 2004-07-30 2006-02-02 Elmar Trefz System and apparatus for alerting a user in response to environmental conditions
US7319386B2 (en) 2004-08-02 2008-01-15 Hill-Rom Services, Inc. Configurable system for alerting caregivers
US20080294058A1 (en) * 2004-08-16 2008-11-27 Dror Shklarski Wearable Device, System and Method for Measuring a Pulse While a User is in Motion
US20070299325A1 (en) * 2004-08-20 2007-12-27 Brian Farrell Physiological status monitoring system
US20060135858A1 (en) * 2004-09-13 2006-06-22 International Business Machines Corporation Displaying information related to a physical parameter of an individual
US7268019B2 (en) * 2004-09-22 2007-09-11 Halliburton Energy Services, Inc. Method and apparatus for high temperature operation of electronics
US7369046B2 (en) * 2004-10-05 2008-05-06 Broadcom Corporation Wireless human interface device with integrated temperature sensor
US7373820B1 (en) 2004-11-23 2008-05-20 James Terry L Accelerometer for data collection and communication
US8029441B2 (en) 2006-02-28 2011-10-04 Abbott Diabetes Care Inc. Analyte sensor transmitter unit configuration for a data monitoring and management system
EP2037347A1 (en) * 2005-01-04 2009-03-18 Empower Technologies, Inc. User interface for electronic devices
US8565867B2 (en) 2005-01-28 2013-10-22 Cyberonics, Inc. Changeable electrode polarity stimulation by an implantable medical device
US8260426B2 (en) 2008-01-25 2012-09-04 Cyberonics, Inc. Method, apparatus and system for bipolar charge utilization during stimulation by an implantable medical device
US9314633B2 (en) 2008-01-25 2016-04-19 Cyberonics, Inc. Contingent cardio-protection for epilepsy patients
US7545272B2 (en) 2005-02-08 2009-06-09 Therasense, Inc. RF tag on test strips, test strip vials and boxes
EP1863559A4 (en) 2005-03-21 2008-07-30 Abbott Diabetes Care Inc Method and system for providing integrated medication infusion and analyte monitoring system
US7615055B2 (en) 2005-03-31 2009-11-10 Depuy Products, Inc. Method and apparatus for use in balancing ligaments of a knee
US8836513B2 (en) 2006-04-28 2014-09-16 Proteus Digital Health, Inc. Communication system incorporated in an ingestible product
US8802183B2 (en) 2005-04-28 2014-08-12 Proteus Digital Health, Inc. Communication system with enhanced partial power source and method of manufacturing same
US8912908B2 (en) 2005-04-28 2014-12-16 Proteus Digital Health, Inc. Communication system with remote activation
DE102005019751A1 (en) * 2005-04-28 2006-11-02 Braun Gmbh Sphygmomanometer comprises measuring device to determine blood pressure data and data transmission device with external transmission interface to transmit the data to external data processing device and control data to the measuring device
US8730031B2 (en) 2005-04-28 2014-05-20 Proteus Digital Health, Inc. Communication system using an implantable device
AU2006239221C1 (en) * 2005-04-28 2012-08-16 Otsuka Pharmaceutical Co., Ltd. Pharma-informatics system
US9198608B2 (en) 2005-04-28 2015-12-01 Proteus Digital Health, Inc. Communication system incorporated in a container
US20060247733A1 (en) * 2005-05-02 2006-11-02 Salah Amer Garment for electrical muscle stimulation of muscles in the upper body and arms and legs
US7768408B2 (en) 2005-05-17 2010-08-03 Abbott Diabetes Care Inc. Method and system for providing data management in data monitoring system
US7620437B2 (en) * 2005-06-03 2009-11-17 Abbott Diabetes Care Inc. Method and apparatus for providing rechargeable power in data monitoring and management systems
US7616122B2 (en) * 2005-06-20 2009-11-10 Biovigil, Llc Hand cleanliness
US7936275B2 (en) * 2005-06-20 2011-05-03 Biovigil, Llc Hand cleanliness
US8502681B2 (en) 2005-06-20 2013-08-06 Biovigil, Llc Hand cleanliness
JP2008544388A (en) * 2005-06-24 2008-12-04 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ Method and apparatus for interacting with a person present during a physically bad emergency
US20070023210A1 (en) * 2005-07-28 2007-02-01 Caterpillar Inc. Electrical system of a mobile machine
WO2007027706A2 (en) * 2005-08-29 2007-03-08 Blanarovich Adrian M Apparatus and system for measuring and communicating physical activity data
EP1921980A4 (en) 2005-08-31 2010-03-10 Univ Virginia Improving the accuracy of continuous glucose sensors
US8838215B2 (en) * 2006-03-01 2014-09-16 Angel Medical Systems, Inc. Systems and methods of medical monitoring according to patient state
WO2007028035A2 (en) 2005-09-01 2007-03-08 Proteus Biomedical, Inc. Implantable zero-wire communications system
US7756561B2 (en) 2005-09-30 2010-07-13 Abbott Diabetes Care Inc. Method and apparatus for providing rechargeable power in data monitoring and management systems
US20070158769A1 (en) * 2005-10-14 2007-07-12 Cardiomems, Inc. Integrated CMOS-MEMS technology for wired implantable sensors
JP2007105323A (en) * 2005-10-14 2007-04-26 Hitachi Ltd Metabolic quantity measuring device
US7911339B2 (en) 2005-10-18 2011-03-22 Apple Inc. Shoe wear-out sensor, body-bar sensing system, unitless activity assessment and associated methods
US7583190B2 (en) 2005-10-31 2009-09-01 Abbott Diabetes Care Inc. Method and apparatus for providing data communication in data monitoring and management systems
WO2007053963A1 (en) * 2005-11-10 2007-05-18 Solianis Holding Ag Device for determining the glucose level in body tissue
EP1965695B1 (en) * 2005-12-19 2011-05-11 Koninklijke Philips Electronics N.V. Monitoring apparatus for monitoring a user's heart rate and/or heart rate variation; wristwatch comprising such a monitoring apparatus
US11826652B2 (en) 2006-01-04 2023-11-28 Dugan Health, Llc Systems and methods for improving fitness equipment and exercise
US7996079B2 (en) 2006-01-24 2011-08-09 Cyberonics, Inc. Input response override for an implantable medical device
US8344966B2 (en) 2006-01-31 2013-01-01 Abbott Diabetes Care Inc. Method and system for providing a fault tolerant display unit in an electronic device
US20070197881A1 (en) * 2006-02-22 2007-08-23 Wolf James L Wireless Health Monitor Device and System with Cognition
WO2007101141A2 (en) * 2006-02-24 2007-09-07 Hmicro, Inc. A medical signal processing system with distributed wireless sensors
US8308641B2 (en) * 2006-02-28 2012-11-13 Koninklijke Philips Electronics N.V. Biometric monitor with electronics disposed on or in a neck collar
CA2538940A1 (en) * 2006-03-03 2006-06-22 James W. Haslett Bandage with sensors
EP2026874B1 (en) 2006-03-29 2015-05-20 Dignity Health Vagus nerve stimulation system
EP1839566A1 (en) * 2006-03-29 2007-10-03 F. Hoffmann-La Roche AG Method and assembly for the observation of a medical instrument.
US7620438B2 (en) 2006-03-31 2009-11-17 Abbott Diabetes Care Inc. Method and system for powering an electronic device
US9326709B2 (en) 2010-03-10 2016-05-03 Abbott Diabetes Care Inc. Systems, devices and methods for managing glucose levels
US8219173B2 (en) 2008-09-30 2012-07-10 Abbott Diabetes Care Inc. Optimizing analyte sensor calibration
US9392969B2 (en) 2008-08-31 2016-07-19 Abbott Diabetes Care Inc. Closed loop control and signal attenuation detection
US7962220B2 (en) 2006-04-28 2011-06-14 Cyberonics, Inc. Compensation reduction in tissue stimulation therapy
US7869885B2 (en) 2006-04-28 2011-01-11 Cyberonics, Inc Threshold optimization for tissue stimulation therapy
US8956287B2 (en) 2006-05-02 2015-02-17 Proteus Digital Health, Inc. Patient customized therapeutic regimens
US7607243B2 (en) * 2006-05-03 2009-10-27 Nike, Inc. Athletic or other performance sensing systems
JP2007304666A (en) * 2006-05-08 2007-11-22 Sony Computer Entertainment Inc Information output system and information output method
US8323189B2 (en) 2006-05-12 2012-12-04 Bao Tran Health monitoring appliance
US9060683B2 (en) 2006-05-12 2015-06-23 Bao Tran Mobile wireless appliance
US9814425B2 (en) * 2006-05-12 2017-11-14 Koninklijke Philips N.V. Health monitoring appliance
US8968195B2 (en) * 2006-05-12 2015-03-03 Bao Tran Health monitoring appliance
US9907473B2 (en) * 2015-04-03 2018-03-06 Koninklijke Philips N.V. Personal monitoring system
US7539533B2 (en) 2006-05-16 2009-05-26 Bao Tran Mesh network monitoring appliance
US8635082B2 (en) 2006-05-25 2014-01-21 DePuy Synthes Products, LLC Method and system for managing inventories of orthopaedic implants
US20070279217A1 (en) * 2006-06-01 2007-12-06 H-Micro, Inc. Integrated mobile healthcare system for cardiac care
JP5119612B2 (en) * 2006-06-02 2013-01-16 株式会社日立製作所 Metabolism monitoring apparatus and metabolism monitoring system
US20080058808A1 (en) * 2006-06-14 2008-03-06 Spartek Medical, Inc. Implant system and method to treat degenerative disorders of the spine
US8781568B2 (en) 2006-06-23 2014-07-15 Brian M. Dugan Systems and methods for heart rate monitoring, data transmission, and use
US20080011297A1 (en) * 2006-06-30 2008-01-17 Scott Thomas Mazar Monitoring physiologic conditions via transtracheal measurement of respiratory parameters
EP1875859A1 (en) * 2006-07-05 2008-01-09 Nederlandse Organisatie voor Toegepast-Natuuurwetenschappelijk Onderzoek TNO System for determination of an effective training heart rate zone and use of such a system
GB2439750A (en) * 2006-07-06 2008-01-09 Wound Solutions Ltd Monitoring a limb wound
US7396157B2 (en) * 2006-07-14 2008-07-08 Chi-Hong Liao Body temperature measuring system capable of measuring plural remote temperatures and receiver capable of measuring a body temperature
US9131892B2 (en) * 2006-07-25 2015-09-15 Gal Markel Wearable items providing physiological, environmental and situational parameter monitoring
US8049489B2 (en) 2006-07-26 2011-11-01 Cardiac Pacemakers, Inc. Systems and methods for sensing external magnetic fields in implantable medical devices
WO2008022122A2 (en) * 2006-08-14 2008-02-21 Buja Frederick J System and method employing a thermocouple junction for monitoring of physiological parameters
KR100868073B1 (en) * 2006-09-18 2008-11-10 연세대학교 산학협력단 Armband type measurment unit of bio-signal
US8840549B2 (en) * 2006-09-22 2014-09-23 Masimo Corporation Modular patient monitor
US9161696B2 (en) 2006-09-22 2015-10-20 Masimo Corporation Modular patient monitor
US8924248B2 (en) 2006-09-26 2014-12-30 Fitbit, Inc. System and method for activating a device based on a record of physical activity
US8430770B2 (en) * 2006-10-07 2013-04-30 Brian M. Dugan Systems and methods for measuring and/or analyzing swing information
US8337335B2 (en) * 2006-10-07 2012-12-25 Dugan Brian M Systems and methods for measuring and/or analyzing swing information
US20080255794A1 (en) * 2006-10-11 2008-10-16 Levine James A Physical activity monitoring and prompting system
US8054140B2 (en) 2006-10-17 2011-11-08 Proteus Biomedical, Inc. Low voltage oscillator for medical devices
KR101611240B1 (en) 2006-10-25 2016-04-11 프로테우스 디지털 헬스, 인코포레이티드 Controlled activation ingestible identifier
US7869867B2 (en) 2006-10-27 2011-01-11 Cyberonics, Inc. Implantable neurostimulator with refractory stimulation
US8579853B2 (en) 2006-10-31 2013-11-12 Abbott Diabetes Care Inc. Infusion devices and methods
US7698770B2 (en) * 2006-10-31 2010-04-20 Resurgent Health & Medical, Llc Automated appendage cleaning apparatus with brush
US7757700B2 (en) * 2006-10-31 2010-07-20 Resurgent Health & Medical, Llc Wash chamber for automated appendage-washing apparatus
US7818083B2 (en) * 2006-10-31 2010-10-19 Resurgent Health & Medical, Llc Automated washing system with compliance verification and automated compliance monitoring reporting
US7659824B2 (en) * 2006-10-31 2010-02-09 Resurgent Health & Medical, Llc Sanitizer dispensers with compliance verification
US8079263B2 (en) * 2006-11-10 2011-12-20 Penrith Corporation Transducer array imaging system
US7984651B2 (en) * 2006-11-10 2011-07-26 Penrith Corporation Transducer array imaging system
US9295444B2 (en) 2006-11-10 2016-03-29 Siemens Medical Solutions Usa, Inc. Transducer array imaging system
EP2069004A4 (en) 2006-11-20 2014-07-09 Proteus Digital Health Inc Active signal processing personal health signal receivers
US20080306355A1 (en) * 2006-11-20 2008-12-11 Smithkline Beecham Corporation Method and System for Monitoring Gastrointestinal Function and Physiological Characteristics
JP4398971B2 (en) * 2006-12-07 2010-01-13 シャープ株式会社 Image processing device
US8652040B2 (en) 2006-12-19 2014-02-18 Valencell, Inc. Telemetric apparatus for health and environmental monitoring
US8157730B2 (en) 2006-12-19 2012-04-17 Valencell, Inc. Physiological and environmental monitoring systems and methods
US20080155077A1 (en) * 2006-12-20 2008-06-26 James Terry L Activity Monitor for Collecting, Converting, Displaying, and Communicating Data
JP2010516179A (en) * 2007-01-10 2010-05-13 リコルディ,カミロ Portable emergency alert system and method
US20080189291A1 (en) * 2007-02-01 2008-08-07 Hsu Kent T J System for measuring and displaying vital signs and method therefor
EP3785599B1 (en) 2007-02-01 2022-08-03 Otsuka Pharmaceutical Co., Ltd. Ingestible event marker systems
US9706976B2 (en) * 2007-02-08 2017-07-18 Siemens Medical Solutions Usa, Inc. Ultrasound imaging systems and methods of performing ultrasound procedures
CA2676280C (en) 2007-02-14 2018-05-22 Proteus Biomedical, Inc. In-body power source having high surface area electrode
US20080199894A1 (en) 2007-02-15 2008-08-21 Abbott Diabetes Care, Inc. Device and method for automatic data acquisition and/or detection
EP2126828A4 (en) * 2007-02-16 2012-01-25 Bodymedia Inc Systems and methods for understanding and applying the physiological and contextual life patterns of an individual or set of individuals
WO2008104982A2 (en) * 2007-02-28 2008-09-04 Stimpulse Ltd. Control of the intake of undesired substances
US8123686B2 (en) 2007-03-01 2012-02-28 Abbott Diabetes Care Inc. Method and apparatus for providing rolling data in communication systems
US7713196B2 (en) * 2007-03-09 2010-05-11 Nellcor Puritan Bennett Llc Method for evaluating skin hydration and fluid compartmentalization
EP2124725A1 (en) 2007-03-09 2009-12-02 Proteus Biomedical, Inc. In-body device having a multi-directional transmitter
WO2008112578A1 (en) 2007-03-09 2008-09-18 Proteus Biomedical, Inc. In-body device having a deployable antenna
US20090024049A1 (en) 2007-03-29 2009-01-22 Neurofocus, Inc. Cross-modality synthesis of central nervous system, autonomic nervous system, and effector data
US8065240B2 (en) * 2007-10-31 2011-11-22 The Invention Science Fund I Computational user-health testing responsive to a user interaction with advertiser-configured content
KR100880980B1 (en) * 2007-04-13 2009-02-03 한국정보통신대학교 산학협력단 A method of skin conductance response measurement that is robust again contact area change
WO2008130896A1 (en) 2007-04-14 2008-10-30 Abbott Diabetes Care, Inc. Method and apparatus for providing data processing and control in medical communication system
US9615780B2 (en) 2007-04-14 2017-04-11 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
EP2146625B1 (en) 2007-04-14 2019-08-14 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
US8140142B2 (en) * 2007-04-14 2012-03-20 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in medical communication system
EP4108162A1 (en) 2007-04-14 2022-12-28 Abbott Diabetes Care, Inc. Method and apparatus for providing data processing and control in medical communication system
US8117047B1 (en) 2007-04-16 2012-02-14 Insight Diagnostics Inc. Healthcare provider organization
US7974701B2 (en) 2007-04-27 2011-07-05 Cyberonics, Inc. Dosing limitation for an implantable medical device
US8461985B2 (en) 2007-05-08 2013-06-11 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US8456301B2 (en) 2007-05-08 2013-06-04 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US20080281171A1 (en) * 2007-05-08 2008-11-13 Abbott Diabetes Care, Inc. Analyte monitoring system and methods
US7928850B2 (en) 2007-05-08 2011-04-19 Abbott Diabetes Care Inc. Analyte monitoring system and methods
US20080281179A1 (en) * 2007-05-08 2008-11-13 Abbott Diabetes Care, Inc. Analyte monitoring system and methods
US20080278332A1 (en) * 2007-05-08 2008-11-13 Abbott Diabetes Care, Inc. Analyte monitoring system and methods
US8665091B2 (en) 2007-05-08 2014-03-04 Abbott Diabetes Care Inc. Method and device for determining elapsed sensor life
US8444560B2 (en) 2007-05-14 2013-05-21 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8103471B2 (en) 2007-05-14 2012-01-24 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8600681B2 (en) * 2007-05-14 2013-12-03 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8560038B2 (en) 2007-05-14 2013-10-15 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8239166B2 (en) 2007-05-14 2012-08-07 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8260558B2 (en) 2007-05-14 2012-09-04 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US10002233B2 (en) 2007-05-14 2018-06-19 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US9125548B2 (en) 2007-05-14 2015-09-08 Abbott Diabetes Care Inc. Method and apparatus for providing data processing and control in a medical communication system
US8392253B2 (en) 2007-05-16 2013-03-05 The Nielsen Company (Us), Llc Neuro-physiology and neuro-behavioral based stimulus targeting system
US8540632B2 (en) 2007-05-24 2013-09-24 Proteus Digital Health, Inc. Low profile antenna for in body device
US20080306362A1 (en) * 2007-06-05 2008-12-11 Owen Davis Device and system for monitoring contents of perspiration
WO2008154643A1 (en) 2007-06-12 2008-12-18 Triage Wireless, Inc. Vital sign monitor for measuring blood pressure using optical, electrical, and pressure waveforms
US11607152B2 (en) 2007-06-12 2023-03-21 Sotera Wireless, Inc. Optical sensors for use in vital sign monitoring
US11330988B2 (en) 2007-06-12 2022-05-17 Sotera Wireless, Inc. Body-worn system for measuring continuous non-invasive blood pressure (cNIBP)
US8602997B2 (en) 2007-06-12 2013-12-10 Sotera Wireless, Inc. Body-worn system for measuring continuous non-invasive blood pressure (cNIBP)
CA2690870C (en) * 2007-06-21 2017-07-11 Abbott Diabetes Care Inc. Health monitor
EP3533387A3 (en) 2007-06-21 2019-11-13 Abbott Diabetes Care, Inc. Health management devices and methods
JP5099681B2 (en) * 2007-06-29 2012-12-19 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Ultrasonic probe, ultrasonic diagnostic apparatus, and method for estimating surface temperature of ultrasonic probe
US8160900B2 (en) 2007-06-29 2012-04-17 Abbott Diabetes Care Inc. Analyte monitoring and management device and method to analyze the frequency of user interaction with the device
US20090018456A1 (en) * 2007-07-11 2009-01-15 Chin-Yeh Hung Display storage apparatus capable of detecting a pulse
WO2009009761A1 (en) * 2007-07-11 2009-01-15 Triage Wireless, Inc. Device for determining respiratory rate and other vital signs
JP5542051B2 (en) 2007-07-30 2014-07-09 ニューロフォーカス・インコーポレーテッド System, method, and apparatus for performing neural response stimulation and stimulation attribute resonance estimation
US8834366B2 (en) 2007-07-31 2014-09-16 Abbott Diabetes Care Inc. Method and apparatus for providing analyte sensor calibration
US9046919B2 (en) * 2007-08-20 2015-06-02 Hmicro, Inc. Wearable user interface device, system, and method of use
US20090054752A1 (en) * 2007-08-22 2009-02-26 Motorola, Inc. Method and apparatus for photoplethysmographic sensing
US20090054751A1 (en) * 2007-08-22 2009-02-26 Bruce Babashan Touchless Sensor for Physiological Monitor Device
US8926509B2 (en) * 2007-08-24 2015-01-06 Hmicro, Inc. Wireless physiological sensor patches and systems
US8386313B2 (en) 2007-08-28 2013-02-26 The Nielsen Company (Us), Llc Stimulus placement system using subject neuro-response measurements
US8392255B2 (en) 2007-08-29 2013-03-05 The Nielsen Company (Us), Llc Content based selection and meta tagging of advertisement breaks
US20090062670A1 (en) * 2007-08-30 2009-03-05 Gary James Sterling Heart monitoring body patch and system
US8684925B2 (en) 2007-09-14 2014-04-01 Corventis, Inc. Injectable device for physiological monitoring
US8591430B2 (en) 2007-09-14 2013-11-26 Corventis, Inc. Adherent device for respiratory monitoring
US8460189B2 (en) 2007-09-14 2013-06-11 Corventis, Inc. Adherent cardiac monitor with advanced sensing capabilities
WO2009036333A1 (en) 2007-09-14 2009-03-19 Corventis, Inc. Dynamic pairing of patients to data collection gateways
EP2200499B1 (en) 2007-09-14 2019-05-01 Medtronic Monitoring, Inc. Multi-sensor patient monitor to detect impending cardiac decompensation
US8897868B2 (en) 2007-09-14 2014-11-25 Medtronic, Inc. Medical device automatic start-up upon contact to patient tissue
US8116841B2 (en) 2007-09-14 2012-02-14 Corventis, Inc. Adherent device with multiple physiological sensors
US20090083129A1 (en) 2007-09-20 2009-03-26 Neurofocus, Inc. Personalized content delivery using neuro-response priming data
PT2192946T (en) * 2007-09-25 2022-11-17 Otsuka Pharma Co Ltd In-body device with virtual dipole signal amplification
US8199000B2 (en) * 2007-09-27 2012-06-12 General Electric Company System and method for interference mitigation in a wireless sensor network
US8327395B2 (en) 2007-10-02 2012-12-04 The Nielsen Company (Us), Llc System providing actionable insights based on physiological responses from viewers of media
CA2739378C (en) 2007-10-03 2016-06-21 Ottawa Hospital Research Institute Method and apparatus for monitoring physiological parameter variability over time for one or more organs
US20090093341A1 (en) * 2007-10-03 2009-04-09 James Terry L Music and Accelerometer Combination Device for Collecting, Converting, Displaying and Communicating Data
US20110019824A1 (en) 2007-10-24 2011-01-27 Hmicro, Inc. Low power radiofrequency (rf) communication systems for secure wireless patch initialization and methods of use
WO2009055608A2 (en) * 2007-10-24 2009-04-30 Hmicro, Inc. Method and apparatus to retrofit wired healthcare and fitness systems for wireless operation
US8251903B2 (en) 2007-10-25 2012-08-28 Valencell, Inc. Noninvasive physiological analysis using excitation-sensor modules and related devices and methods
US8082160B2 (en) 2007-10-26 2011-12-20 Hill-Rom Services, Inc. System and method for collection and communication of data from multiple patient care devices
CN101917898A (en) 2007-10-31 2010-12-15 埃姆申塞公司 Physiological responses from spectators is provided the system and method for distributed collection and centralized processing
TWI400062B (en) * 2007-11-08 2013-07-01 私立中原大學 Medical devices that record physiological signals
WO2009067782A1 (en) * 2007-11-26 2009-06-04 ECOLE DE TECHNOLOGIE SUPéRIEURE Harness system for kinematic analysis of the knee
EP2215726B1 (en) * 2007-11-27 2018-01-10 Proteus Digital Health, Inc. Transbody communication systems employing communication channels
US8132101B2 (en) * 2007-12-07 2012-03-06 Roche Diagnostics Operations, Inc. Method and system for data selection and display
US20090150438A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Export file format with manifest for enhanced data transfer
US20090150331A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method and system for creating reports
US20090150439A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Common extensible data exchange format
US20090150780A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Help utility functionality and architecture
US20090150812A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method and system for data source and modification tracking
US8078592B2 (en) * 2007-12-07 2011-12-13 Roche Diagnostics Operations, Inc. System and method for database integrity checking
US20090150482A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method of cloning a server installation to a network client
US7979136B2 (en) * 2007-12-07 2011-07-12 Roche Diagnostics Operation, Inc Method and system for multi-device communication
US20090150181A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method and system for personal medical data database merging
US8566818B2 (en) 2007-12-07 2013-10-22 Roche Diagnostics Operations, Inc. Method and system for configuring a consolidated software application
US8103241B2 (en) * 2007-12-07 2012-01-24 Roche Diagnostics Operations, Inc. Method and system for wireless device communication
US8819040B2 (en) * 2007-12-07 2014-08-26 Roche Diagnostics Operations, Inc. Method and system for querying a database
US9886549B2 (en) * 2007-12-07 2018-02-06 Roche Diabetes Care, Inc. Method and system for setting time blocks
US8019721B2 (en) * 2007-12-07 2011-09-13 Roche Diagnostics Operations, Inc. Method and system for enhanced data transfer
US9003538B2 (en) * 2007-12-07 2015-04-07 Roche Diagnostics Operations, Inc. Method and system for associating database content for security enhancement
US20090147026A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Graphic zoom functionality for a custom report
US8112390B2 (en) * 2007-12-07 2012-02-07 Roche Diagnostics Operations, Inc. Method and system for merging extensible data into a database using globally unique identifiers
US8402151B2 (en) * 2007-12-07 2013-03-19 Roche Diagnostics Operations, Inc. Dynamic communication stack
US20090150865A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method and system for activating features and functions of a consolidated software application
US7996245B2 (en) * 2007-12-07 2011-08-09 Roche Diagnostics Operations, Inc. Patient-centric healthcare information maintenance
US20090147011A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method and system for graphically indicating multiple data values
US20090150174A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Healthcare management system having improved printing of display screen information
US20090150877A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Data driven communication protocol grammar
US20090150451A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method and system for selective merging of patient data
US8365065B2 (en) * 2007-12-07 2013-01-29 Roche Diagnostics Operations, Inc. Method and system for creating user-defined outputs
US20090147006A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. Method and system for event based data comparison
US20090150771A1 (en) * 2007-12-07 2009-06-11 Roche Diagnostics Operations, Inc. System and method for reporting medical information
US20090164239A1 (en) 2007-12-19 2009-06-25 Abbott Diabetes Care, Inc. Dynamic Display Of Glucose Information
US7676332B2 (en) 2007-12-27 2010-03-09 Kersh Risk Management, Inc. System and method for processing raw activity energy expenditure data
KR101031450B1 (en) * 2007-12-29 2011-04-26 인텔 코오퍼레이션 Secure association between devices
US20090187121A1 (en) * 2008-01-22 2009-07-23 Camntech Limited Diary and method for medical monitoring
US7898396B2 (en) 2008-01-24 2011-03-01 Immersion Corporation Actuating a tactile sensation in response to a sensed event
US8360984B2 (en) * 2008-01-28 2013-01-29 Cardiomems, Inc. Hypertension system and method
US20090192813A1 (en) * 2008-01-29 2009-07-30 Roche Diagnostics Operations, Inc. Information transfer through optical character recognition
GB0802936D0 (en) * 2008-02-18 2008-06-04 Curtis Thomas E Underwater Surveillance
EP3827811A1 (en) 2008-03-05 2021-06-02 Otsuka Pharmaceutical Co., Ltd. Multi-mode communication ingestible event markers and systems
US9510755B2 (en) * 2008-03-10 2016-12-06 Koninklijke Philips N.V. ECG monitoring sytstem with docking station
EP2262418B1 (en) * 2008-03-10 2019-07-17 Koninklijke Philips N.V. Watertight cardiac monitoring system
WO2009114548A1 (en) 2008-03-12 2009-09-17 Corventis, Inc. Heart failure decompensation prediction based on cardiac rhythm
DE102008014652A1 (en) * 2008-03-17 2009-09-24 Robert Bosch Gmbh Medical detection device for the detection of sleep apnea and / or sleep hypopneas
KR101002020B1 (en) * 2008-03-27 2010-12-16 계명대학교 산학협력단 Real-time Electrocardiogram Monitoring System and Method, Patch-type Electrocardiograph, Telecommunication Apparatus
US20090247854A1 (en) * 2008-03-27 2009-10-01 Nellcor Puritan Bennett Llc Retractable Sensor Cable For A Pulse Oximeter
US20090270743A1 (en) * 2008-04-17 2009-10-29 Dugan Brian M Systems and methods for providing authenticated biofeedback information to a mobile device and for using such information
US8976007B2 (en) 2008-08-09 2015-03-10 Brian M. Dugan Systems and methods for providing biofeedback information to a cellular telephone and for using such information
US8412317B2 (en) 2008-04-18 2013-04-02 Corventis, Inc. Method and apparatus to measure bioelectric impedance of patient tissue
KR20100139144A (en) * 2008-04-21 2010-12-31 카를 프레데릭 에드만 Metabolic energy monitoring system
US8204603B2 (en) 2008-04-25 2012-06-19 Cyberonics, Inc. Blocking exogenous action potentials by an implantable medical device
US8377229B2 (en) * 2008-04-29 2013-02-19 Resurgent Health & Medical, Llc Ingress/egress system for hygiene compliance
JP2011519657A (en) * 2008-05-09 2011-07-14 コーニンクレッカ フィリップス エレクトロニクス エヌ ヴィ Optical sensor for patient contactless respiratory monitoring and photoplethysmography measurement
US8352015B2 (en) * 2008-05-27 2013-01-08 Kyma Medical Technologies, Ltd. Location tracking of a metallic object in a living body using a radar detector and guiding an ultrasound probe to direct ultrasound waves at the location
US8989837B2 (en) 2009-12-01 2015-03-24 Kyma Medical Technologies Ltd. Methods and systems for determining fluid content of tissue
US7826382B2 (en) 2008-05-30 2010-11-02 Abbott Diabetes Care Inc. Close proximity communication device and methods
US7942825B2 (en) * 2008-06-09 2011-05-17 Kimberly-Clark Worldwide Inc. Method and device for monitoring thermal stress
EP3087858B1 (en) 2008-06-13 2021-04-28 NIKE Innovate C.V. Footwear having sensor system
US10070680B2 (en) 2008-06-13 2018-09-11 Nike, Inc. Footwear having sensor system
US9549585B2 (en) 2008-06-13 2017-01-24 Nike, Inc. Footwear having sensor system
WO2010005877A2 (en) 2008-07-08 2010-01-14 Proteus Biomedical, Inc. Ingestible event marker data framework
US8358269B2 (en) * 2008-07-18 2013-01-22 Intel Corporation Human interface device (HID)
KR101556813B1 (en) * 2008-07-23 2015-10-01 아트리오 메디컬, 아이엔씨. Cpr assist device for measuring compression parameters during cardiopulmonary resuscitation
US20100036662A1 (en) * 2008-08-06 2010-02-11 Emmons David J Journaling device and information management system
US20100035726A1 (en) * 2008-08-07 2010-02-11 John Fisher Cardio-fitness station with virtual-reality capability
JP5715564B2 (en) 2008-08-13 2015-05-07 プロテウス デジタル ヘルス, インコーポレイテッド Ingestible device and method of producing the same
US8568336B2 (en) * 2008-08-18 2013-10-29 Board Of Trustees Of Michigan State University Non-invasive device for diagnosing gastroesophageal reflux
US8130095B2 (en) * 2008-08-27 2012-03-06 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8125331B2 (en) * 2008-08-27 2012-02-28 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8284046B2 (en) 2008-08-27 2012-10-09 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8094009B2 (en) * 2008-08-27 2012-01-10 The Invention Science Fund I, Llc Health-related signaling via wearable items
US20100056873A1 (en) * 2008-08-27 2010-03-04 Allen Paul G Health-related signaling via wearable items
US8743079B2 (en) * 2008-08-29 2014-06-03 Nec Corporation Position information input device and position information input method
US8961437B2 (en) * 2009-09-09 2015-02-24 Youhanna Al-Tawil Mouth guard for detecting and monitoring bite pressures
US7894888B2 (en) * 2008-09-24 2011-02-22 Chang Gung University Device and method for measuring three-lead ECG in a wristwatch
US8364220B2 (en) 2008-09-25 2013-01-29 Covidien Lp Medical sensor and technique for using the same
US8257274B2 (en) 2008-09-25 2012-09-04 Nellcor Puritan Bennett Llc Medical sensor and technique for using the same
US8535253B2 (en) 2008-09-30 2013-09-17 Covidien Lp Tubeless compression device
US20100100004A1 (en) * 2008-10-16 2010-04-22 Koninklijke Nederlandse Akademie Van Wetenschappen Skin Temperature Measurement in Monitoring and Control of Sleep and Alertness
US8457747B2 (en) 2008-10-20 2013-06-04 Cyberonics, Inc. Neurostimulation with signal duration determined by a cardiac cycle
US20100099954A1 (en) * 2008-10-22 2010-04-22 Zeo, Inc. Data-driven sleep coaching system
US8436816B2 (en) * 2008-10-24 2013-05-07 Apple Inc. Disappearing button or slider
JP5026597B2 (en) 2008-11-04 2012-09-12 パナソニック株式会社 Measuring apparatus, measuring method and program
KR101192690B1 (en) 2008-11-13 2012-10-19 프로테우스 디지털 헬스, 인코포레이티드 Ingestible therapy activator system, therapeutic device and method
EP2346391A4 (en) * 2008-11-18 2012-08-15 Proteus Biomedical Inc Sensing system, device, and method for therapy modulation
WO2010068818A2 (en) 2008-12-11 2010-06-17 Proteus Biomedical, Inc. Evaluation of gastrointestinal function using portable electroviscerography systems and methods of using the same
US9439566B2 (en) 2008-12-15 2016-09-13 Proteus Digital Health, Inc. Re-wearable wireless device
TWI503101B (en) 2008-12-15 2015-10-11 Proteus Digital Health Inc Body-associated receiver and method
US9659423B2 (en) 2008-12-15 2017-05-23 Proteus Digital Health, Inc. Personal authentication apparatus system and method
EP2375968B1 (en) 2008-12-15 2018-11-14 Medtronic Monitoring, Inc. Patient monitoring systems and methods
US8771204B2 (en) 2008-12-30 2014-07-08 Masimo Corporation Acoustic sensor assembly
SG172846A1 (en) 2009-01-06 2011-08-29 Proteus Biomedical Inc Ingestion-related biofeedback and personalized medical therapy method and system
WO2010080764A2 (en) 2009-01-06 2010-07-15 Proteus Biomedical, Inc. Pharmaceutical dosages delivery system
US8979774B2 (en) * 2009-01-13 2015-03-17 Robert Bosch Gmbh Activity monitoring device and method
US20100191304A1 (en) 2009-01-23 2010-07-29 Scott Timothy L Implantable Medical Device for Providing Chronic Condition Therapy and Acute Condition Therapy Using Vagus Nerve Stimulation
US8130904B2 (en) * 2009-01-29 2012-03-06 The Invention Science Fund I, Llc Diagnostic delivery service
US8254524B2 (en) * 2009-01-29 2012-08-28 The Invention Science Fund I, Llc Diagnostic delivery service
US8560082B2 (en) 2009-01-30 2013-10-15 Abbott Diabetes Care Inc. Computerized determination of insulin pump therapy parameters using real time and retrospective data processing
US9402544B2 (en) 2009-02-03 2016-08-02 Abbott Diabetes Care Inc. Analyte sensor and apparatus for insertion of the sensor
US8788002B2 (en) 2009-02-25 2014-07-22 Valencell, Inc. Light-guiding devices and monitoring devices incorporating same
WO2010098912A2 (en) 2009-02-25 2010-09-02 Valencell, Inc. Light-guiding devices and monitoring devices incorporating same
US9750462B2 (en) 2009-02-25 2017-09-05 Valencell, Inc. Monitoring apparatus and methods for measuring physiological and/or environmental conditions
US8152694B2 (en) * 2009-03-16 2012-04-10 Robert Bosch Gmbh Activity monitoring device and method
US20100250325A1 (en) 2009-03-24 2010-09-30 Neurofocus, Inc. Neurological profiles for market matching and stimulus presentation
US8515515B2 (en) 2009-03-25 2013-08-20 Covidien Lp Medical sensor with compressible light barrier and technique for using the same
US8540664B2 (en) 2009-03-25 2013-09-24 Proteus Digital Health, Inc. Probablistic pharmacokinetic and pharmacodynamic modeling
US8781548B2 (en) 2009-03-31 2014-07-15 Covidien Lp Medical sensor with flexible components and technique for using the same
US8454437B2 (en) 2009-07-17 2013-06-04 Brian M. Dugan Systems and methods for portable exergaming
JP2010258687A (en) * 2009-04-23 2010-11-11 Fujitsu Ltd Wireless communication apparatus
WO2010127050A1 (en) 2009-04-28 2010-11-04 Abbott Diabetes Care Inc. Error detection in critical repeating data in a wireless sensor system
WO2010129288A2 (en) 2009-04-28 2010-11-11 Proteus Biomedical, Inc. Highly reliable ingestible event markers and methods for using the same
US8467972B2 (en) 2009-04-28 2013-06-18 Abbott Diabetes Care Inc. Closed loop blood glucose control algorithm analysis
US8368556B2 (en) 2009-04-29 2013-02-05 Abbott Diabetes Care Inc. Method and system for providing data communication in continuous glucose monitoring and management system
US8784342B2 (en) * 2009-04-30 2014-07-22 The Invention Science Fund I Llc Shape sensing clothes to inform the wearer of a condition
US7992217B2 (en) * 2009-04-30 2011-08-09 The Invention Science Fund I, Llc Shape changing material
EP2432458A4 (en) 2009-05-12 2014-02-12 Proteus Digital Health Inc Ingestible event markers comprising an ingestible component
US8200321B2 (en) 2009-05-20 2012-06-12 Sotera Wireless, Inc. Method for measuring patient posture and vital signs
US10555676B2 (en) * 2009-05-20 2020-02-11 Sotera Wireless, Inc. Method for generating alarms/alerts based on a patient's posture and vital signs
US11896350B2 (en) 2009-05-20 2024-02-13 Sotera Wireless, Inc. Cable system for generating signals for detecting motion and measuring vital signs
WO2010138856A1 (en) 2009-05-29 2010-12-02 Abbott Diabetes Care Inc. Medical device antenna systems having external antenna configurations
US9596999B2 (en) 2009-06-17 2017-03-21 Sotera Wireless, Inc. Body-worn pulse oximeter
US8256955B2 (en) * 2009-06-30 2012-09-04 Edan Instruments, Inc. Induction type of electronic thermometer probe motion detection device
GB2471903A (en) * 2009-07-17 2011-01-19 Sharp Kk Sleep management system for monitoring sleep quality and making recommendations for improvement
ES2888427T3 (en) 2009-07-23 2022-01-04 Abbott Diabetes Care Inc Real-time management of data related to the physiological control of glucose levels
ES2358506A1 (en) * 2009-07-30 2011-05-11 Universidad De Alicante Sub-sonic teleassistance monitor. (Machine-translation by Google Translate, not legally binding)
EP2467707A4 (en) 2009-08-21 2014-12-17 Proteus Digital Health Inc Apparatus and method for measuring biochemical parameters
US10987015B2 (en) 2009-08-24 2021-04-27 Nielsen Consumer Llc Dry electrodes for electroencephalography
CN102473276B (en) 2009-08-31 2016-04-13 雅培糖尿病护理公司 Medical treatment device and method
US8993331B2 (en) * 2009-08-31 2015-03-31 Abbott Diabetes Care Inc. Analyte monitoring system and methods for managing power and noise
US10595746B2 (en) 2009-09-14 2020-03-24 Sotera Wireless, Inc. Body-worn monitor for measuring respiration rate
US11253169B2 (en) 2009-09-14 2022-02-22 Sotera Wireless, Inc. Body-worn monitor for measuring respiration rate
US20110066043A1 (en) * 2009-09-14 2011-03-17 Matt Banet System for measuring vital signs during hemodialysis
US10420476B2 (en) * 2009-09-15 2019-09-24 Sotera Wireless, Inc. Body-worn vital sign monitor
US8364250B2 (en) 2009-09-15 2013-01-29 Sotera Wireless, Inc. Body-worn vital sign monitor
US10806351B2 (en) 2009-09-15 2020-10-20 Sotera Wireless, Inc. Body-worn vital sign monitor
US8527038B2 (en) 2009-09-15 2013-09-03 Sotera Wireless, Inc. Body-worn vital sign monitor
US8321004B2 (en) 2009-09-15 2012-11-27 Sotera Wireless, Inc. Body-worn vital sign monitor
TW201110932A (en) * 2009-09-18 2011-04-01 Univ Nat Yang Ming Belt type bio-signal detecting device
US8715206B2 (en) 2009-10-15 2014-05-06 Masimo Corporation Acoustic patient sensor
US8523781B2 (en) 2009-10-15 2013-09-03 Masimo Corporation Bidirectional physiological information display
US8821415B2 (en) 2009-10-15 2014-09-02 Masimo Corporation Physiological acoustic monitoring system
WO2011047216A2 (en) 2009-10-15 2011-04-21 Masimo Corporation Physiological acoustic monitoring system
US8311605B2 (en) 2009-10-16 2012-11-13 Affectiva, Inc. Biosensor with pressure compensation
US20110092780A1 (en) * 2009-10-16 2011-04-21 Tao Zhang Biosensor module with automatic power on capability
US8774893B2 (en) * 2009-10-16 2014-07-08 Affectiva, Inc. Biosensor module with leadless contacts
WO2011050283A2 (en) 2009-10-22 2011-04-28 Corventis, Inc. Remote detection and monitoring of functional chronotropic incompetence
US9560984B2 (en) 2009-10-29 2017-02-07 The Nielsen Company (Us), Llc Analysis of controlled and automatic attention for introduction of stimulus material
US20110106750A1 (en) 2009-10-29 2011-05-05 Neurofocus, Inc. Generating ratings predictions using neuro-response data
TWI517050B (en) 2009-11-04 2016-01-11 普羅托斯數位健康公司 System for supply chain management
US8666672B2 (en) * 2009-11-21 2014-03-04 Radial Comm Research L.L.C. System and method for interpreting a user's psychological state from sensed biometric information and communicating that state to a social networking site
JP5975879B2 (en) 2009-12-01 2016-08-23 キマ メディカル テクノロジーズ リミテッド Diagnostic device and system for diagnosis
UA109424C2 (en) 2009-12-02 2015-08-25 PHARMACEUTICAL PRODUCT, PHARMACEUTICAL TABLE WITH ELECTRONIC MARKER AND METHOD OF MANUFACTURING PHARMACEUTICAL TABLETS
US9451897B2 (en) 2009-12-14 2016-09-27 Medtronic Monitoring, Inc. Body adherent patch with electronics for physiologic monitoring
US9153112B1 (en) 2009-12-21 2015-10-06 Masimo Corporation Modular patient monitor
WO2011076884A2 (en) * 2009-12-23 2011-06-30 Delta, Dansk Elektronik, Lys Og Akustik A monitoring system
US8998096B2 (en) 2010-04-01 2015-04-07 Coin, Inc. Magnetic emissive use of preloaded payment card account numbers
US8874186B2 (en) * 2009-12-30 2014-10-28 Avery Dennison Corporation Apparatus and method for monitoring physiological parameters using electrical measurements
WO2011091336A1 (en) * 2010-01-22 2011-07-28 Abbott Diabetes Care Inc. Method and apparatus for providing notification in analyte monitoring systems
US20110184268A1 (en) * 2010-01-22 2011-07-28 Abbott Diabetes Care Inc. Method, Device and System for Providing Analyte Sensor Calibration
SG182825A1 (en) 2010-02-01 2012-09-27 Proteus Biomedical Inc Data gathering system
US20110190030A1 (en) * 2010-02-02 2011-08-04 Glynntech, Inc. Cell phone with dual thermometer functionality
US20120296571A1 (en) * 2010-02-05 2012-11-22 Nec Corporation Organism information measuring instrument, portable terminal device, organism information measuring method, and program
US8394043B2 (en) 2010-02-12 2013-03-12 Covidien Lp Compression garment assembly
US20110225008A1 (en) * 2010-03-09 2011-09-15 Respira Dv, Llc Self-Similar Medical Communications System
US20110224500A1 (en) 2010-03-10 2011-09-15 Sotera Wireless, Inc. Body-worn vital sign monitor
WO2011112972A2 (en) * 2010-03-11 2011-09-15 Philometron, Inc. Physiological monitor system for determining medication delivery and outcome
JP5573282B2 (en) * 2010-03-26 2014-08-20 アイシン精機株式会社 Biological information detection device
US8888720B2 (en) * 2010-04-02 2014-11-18 Stanford P. Hudson Great toe dorsiflexion detection
US8965498B2 (en) 2010-04-05 2015-02-24 Corventis, Inc. Method and apparatus for personalized physiologic parameters
CA2795746C (en) 2010-04-07 2019-10-01 Timothy Robertson Miniature ingestible device
US8979765B2 (en) 2010-04-19 2015-03-17 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US9173594B2 (en) 2010-04-19 2015-11-03 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US8888700B2 (en) 2010-04-19 2014-11-18 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US8747330B2 (en) 2010-04-19 2014-06-10 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US9339209B2 (en) 2010-04-19 2016-05-17 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
US9173593B2 (en) 2010-04-19 2015-11-03 Sotera Wireless, Inc. Body-worn monitor for measuring respiratory rate
EP2381645B1 (en) * 2010-04-26 2012-03-21 Kapsch TrafficCom AG Method and device for radio-based programming of wireless terminals
US9211085B2 (en) 2010-05-03 2015-12-15 Foster-Miller, Inc. Respiration sensing system
WO2011143490A2 (en) 2010-05-12 2011-11-17 Irhythm Technologies, Inc. Device features and design elements for long-term adhesion
TWI557672B (en) 2010-05-19 2016-11-11 波提亞斯數位康健公司 Computer system and computer-implemented method to track medication from manufacturer to a patient, apparatus and method for confirming delivery of medication to a patient, patient interface device
US9326712B1 (en) 2010-06-02 2016-05-03 Masimo Corporation Opticoustic sensor
US9351654B2 (en) 2010-06-08 2016-05-31 Alivecor, Inc. Two electrode apparatus and methods for twelve lead ECG
US8509882B2 (en) 2010-06-08 2013-08-13 Alivecor, Inc. Heart monitoring system usable with a smartphone or computer
US8769836B2 (en) 2010-06-22 2014-07-08 Nike, Inc. Article of footwear with color change portion and method of changing color
US9301569B2 (en) 2010-06-22 2016-04-05 Nike, Inc. Article of footwear with color change portion and method of changing color
US8474146B2 (en) 2010-06-22 2013-07-02 Nike, Inc. Article of footwear with color change portion and method of changing color
US8635046B2 (en) 2010-06-23 2014-01-21 Abbott Diabetes Care Inc. Method and system for evaluating analyte sensor response characteristics
WO2011163604A1 (en) 2010-06-25 2011-12-29 Industrial Scientific Corporation A multi-sense environmental monitoring device and method
WO2012006052A2 (en) * 2010-06-29 2012-01-12 Contant Olivier M Dynamic scale and accurate food measuring
EP2595694B1 (en) 2010-07-21 2016-06-01 Kyma Medical Technologies Ltd Implantable radio-frequency sensor
US9017255B2 (en) * 2010-07-27 2015-04-28 Carefusion 303, Inc. System and method for saving battery power in a patient monitoring system
US9028404B2 (en) 2010-07-28 2015-05-12 Foster-Miller, Inc. Physiological status monitoring system
US8301645B1 (en) 2010-08-26 2012-10-30 Adobe Systems Incorporated Aggregated web analytics request systems and methods
US8585606B2 (en) * 2010-09-23 2013-11-19 QinetiQ North America, Inc. Physiological status monitoring system
US8954290B2 (en) 2010-09-30 2015-02-10 Fitbit, Inc. Motion-activated display of messages on an activity monitoring device
US8694282B2 (en) 2010-09-30 2014-04-08 Fitbit, Inc. Methods and systems for geo-location optimized tracking and updating for events having combined activity and location information
US8615377B1 (en) 2010-09-30 2013-12-24 Fitbit, Inc. Methods and systems for processing social interactive data and sharing of tracked activity associated with locations
US8805646B2 (en) 2010-09-30 2014-08-12 Fitbit, Inc. Methods, systems and devices for linking user devices to activity tracking devices
US8738323B2 (en) 2010-09-30 2014-05-27 Fitbit, Inc. Methods and systems for metrics analysis and interactive rendering, including events having combined activity and location information
US8762102B2 (en) 2010-09-30 2014-06-24 Fitbit, Inc. Methods and systems for generation and rendering interactive events having combined activity and location information
US8712724B2 (en) 2010-09-30 2014-04-29 Fitbit, Inc. Calendar integration methods and systems for presentation of events having combined activity and location information
US8620617B2 (en) 2010-09-30 2013-12-31 Fitbit, Inc. Methods and systems for interactive goal setting and recommender using events having combined activity and location information
US20120083710A1 (en) 2010-09-30 2012-04-05 Medism Ltd. Ergonomic hand-held thermometer
US8738321B2 (en) 2010-09-30 2014-05-27 Fitbit, Inc. Methods and systems for classification of geographic locations for tracked activity
US9241635B2 (en) 2010-09-30 2016-01-26 Fitbit, Inc. Portable monitoring devices for processing applications and processing analysis of physiological conditions of a user associated with the portable monitoring device
US10216893B2 (en) 2010-09-30 2019-02-26 Fitbit, Inc. Multimode sensor devices
US11243093B2 (en) 2010-09-30 2022-02-08 Fitbit, Inc. Methods, systems and devices for generating real-time activity data updates to display devices
US9167991B2 (en) 2010-09-30 2015-10-27 Fitbit, Inc. Portable monitoring devices and methods of operating same
US9148483B1 (en) 2010-09-30 2015-09-29 Fitbit, Inc. Tracking user physical activity with multiple devices
US9253168B2 (en) 2012-04-26 2016-02-02 Fitbit, Inc. Secure pairing of devices via pairing facilitator-intermediary device
US8744803B2 (en) 2010-09-30 2014-06-03 Fitbit, Inc. Methods, systems and devices for activity tracking device data synchronization with computing devices
US10004406B2 (en) 2010-09-30 2018-06-26 Fitbit, Inc. Portable monitoring devices for processing applications and processing analysis of physiological conditions of a user associated with the portable monitoring device
US9390427B2 (en) 2010-09-30 2016-07-12 Fitbit, Inc. Methods, systems and devices for automatic linking of activity tracking devices to user devices
US10983945B2 (en) 2010-09-30 2021-04-20 Fitbit, Inc. Method of data synthesis
US8762101B2 (en) 2010-09-30 2014-06-24 Fitbit, Inc. Methods and systems for identification of event data having combined activity and location information of portable monitoring devices
US8954291B2 (en) 2010-09-30 2015-02-10 Fitbit, Inc. Alarm setting and interfacing with gesture contact interfacing controls
US9310909B2 (en) 2010-09-30 2016-04-12 Fitbit, Inc. Methods, systems and devices for physical contact activated display and navigation
EP2624745A4 (en) 2010-10-07 2018-05-23 Abbott Diabetes Care, Inc. Analyte monitoring devices and methods
US20120089000A1 (en) 2010-10-08 2012-04-12 Jon Mikalson Bishay Ambulatory Electrocardiographic Monitor For Providing Ease Of Use In Women And Method Of Use
US8613708B2 (en) 2010-10-08 2013-12-24 Cardiac Science Corporation Ambulatory electrocardiographic monitor with jumpered sensing electrode
US9037477B2 (en) 2010-10-08 2015-05-19 Cardiac Science Corporation Computer-implemented system and method for evaluating ambulatory electrocardiographic monitoring of cardiac rhythm disorders
US20120094600A1 (en) 2010-10-19 2012-04-19 Welch Allyn, Inc. Platform for patient monitoring
KR101235338B1 (en) * 2010-10-20 2013-02-19 엘지전자 주식회사 Health Management Terminal and the Method for managing Health
JP5836967B2 (en) * 2010-10-29 2015-12-24 アトナープ株式会社 Analysis equipment
CN102455188A (en) * 2010-11-01 2012-05-16 英华达(上海)科技有限公司 Satellite navigation pedometer
KR101818092B1 (en) 2010-11-10 2018-01-12 나이키 이노베이트 씨.브이. Systems and methods for time-based athletic activity measurement and display
US9026190B2 (en) * 2010-11-17 2015-05-05 Rhythm Check, Inc. Portable physiological parameter detection and monitoring device with integratable computer memory and communication disk, systems and methods of use thereof
EP2642983A4 (en) 2010-11-22 2014-03-12 Proteus Digital Health Inc Ingestible device with pharmaceutical product
JP5605204B2 (en) * 2010-12-15 2014-10-15 ソニー株式会社 Respiratory signal processing device, processing method thereof, and program
EP3646786B1 (en) 2010-12-28 2022-01-26 Sotera Wireless, Inc. Body-worn system for continuous, noninvasive measurement of at least one of cardiac output and stroke volume from a patient
CN102551685B (en) * 2010-12-30 2015-04-01 世意法(北京)半导体研发有限责任公司 Object monitor
US8888701B2 (en) 2011-01-27 2014-11-18 Valencell, Inc. Apparatus and methods for monitoring physiological data during environmental interference
KR101040674B1 (en) * 2011-01-31 2011-06-10 이화여자대학교 산학협력단 Aeration smart wear system for correcting motion of exercise
BR112013021141A2 (en) 2011-02-17 2019-12-10 Nike Int Ltd footwear with sensor system
JP5805218B2 (en) 2011-02-17 2015-11-04 ナイキ イノベイト シーブイ Footwear with sensor system
US20120323496A1 (en) 2011-02-17 2012-12-20 Nike, Inc. Tracking of User Performance Metrics During a Workout Session
US9381420B2 (en) 2011-02-17 2016-07-05 Nike, Inc. Workout user experience
CN103582449B (en) * 2011-02-18 2017-06-09 索泰拉无线公司 For the modularization wrist wearing type processor of patient monitoring
WO2012112885A1 (en) 2011-02-18 2012-08-23 Sotera Wireless, Inc. Optical sensor for measuring physiological properties
US10136845B2 (en) 2011-02-28 2018-11-27 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
CA3177983A1 (en) 2011-02-28 2012-11-15 Abbott Diabetes Care Inc. Devices, systems, and methods associated with analyte monitoring devices and devices incorporating the same
GB201103921D0 (en) * 2011-03-08 2011-04-20 Cambridge Entpr Ltd Method and apparatus for monitoring a subject during exercise
JP2014514032A (en) 2011-03-11 2014-06-19 プロテウス デジタル ヘルス, インコーポレイテッド Wearable personal body-related devices with various physical configurations
US9044297B2 (en) * 2011-03-17 2015-06-02 Technologies Holdings Corp. System and method for estrus detection using real-time location
US20120253489A1 (en) 2011-03-28 2012-10-04 Dugan Brian M Systems and methods for fitness and video games
US9533228B2 (en) 2011-03-28 2017-01-03 Brian M. Dugan Systems and methods for fitness and video games
US9610506B2 (en) 2011-03-28 2017-04-04 Brian M. Dugan Systems and methods for fitness and video games
US20120259180A1 (en) * 2011-04-11 2012-10-11 Michael Rock Hydration and nutrition system
US8541720B2 (en) * 2011-04-12 2013-09-24 Raytheon Company Apparatus for remotely measuring surface temperature using embedded components
US9151834B2 (en) 2011-04-29 2015-10-06 The Invention Science Fund I, Llc Network and personal electronic devices operatively coupled to micro-impulse radars
US9000973B2 (en) * 2011-04-29 2015-04-07 The Invention Science Fund I, Llc Personal electronic device with a micro-impulse radar
US9103899B2 (en) 2011-04-29 2015-08-11 The Invention Science Fund I, Llc Adaptive control of a personal electronic device responsive to a micro-impulse radar
US8884809B2 (en) * 2011-04-29 2014-11-11 The Invention Science Fund I, Llc Personal electronic device providing enhanced user environmental awareness
CA2832211A1 (en) 2011-05-06 2012-11-15 Opower, Inc. Method and system for selecting similar consumers
US20120311092A1 (en) * 2011-06-02 2012-12-06 Nokia Siemens Networks Oy Ecg data monitor
US8947226B2 (en) 2011-06-03 2015-02-03 Brian M. Dugan Bands for measuring biometric information
US8738925B1 (en) 2013-01-07 2014-05-27 Fitbit, Inc. Wireless portable biometric device syncing
US8446275B2 (en) 2011-06-10 2013-05-21 Aliphcom General health and wellness management method and apparatus for a wellness application using data from a data-capable band
US9258670B2 (en) 2011-06-10 2016-02-09 Aliphcom Wireless enabled cap for a data-capable device
US20120316455A1 (en) * 2011-06-10 2012-12-13 Aliphcom Wearable device and platform for sensory input
US20120316456A1 (en) * 2011-06-10 2012-12-13 Aliphcom Sensory user interface
US20120313746A1 (en) * 2011-06-10 2012-12-13 Aliphcom Device control using sensory input
US20120316458A1 (en) * 2011-06-11 2012-12-13 Aliphcom, Inc. Data-capable band for medical diagnosis, monitoring, and treatment
US20130194066A1 (en) * 2011-06-10 2013-08-01 Aliphcom Motion profile templates and movement languages for wearable devices
US20120315382A1 (en) 2011-06-10 2012-12-13 Aliphcom Component protective overmolding using protective external coatings
US9069380B2 (en) 2011-06-10 2015-06-30 Aliphcom Media device, application, and content management using sensory input
US9756874B2 (en) 2011-07-11 2017-09-12 Proteus Digital Health, Inc. Masticable ingestible product and communication system therefor
WO2015112603A1 (en) 2014-01-21 2015-07-30 Proteus Digital Health, Inc. Masticable ingestible product and communication system therefor
SG10201609673QA (en) 2011-07-15 2017-01-27 Numeta Sciences Inc Compositions And Methods For Modulating Metabolic Pathways
IN2014MN00183A (en) 2011-07-21 2015-06-19 Proteus Digital Health Inc
US9201812B2 (en) 2011-07-25 2015-12-01 Aliphcom Multiple logical representations of audio functions in a wireless audio transmitter that transmits audio data at different data rates
US9427191B2 (en) 2011-07-25 2016-08-30 Valencell, Inc. Apparatus and methods for estimating time-state physiological parameters
WO2013019494A2 (en) 2011-08-02 2013-02-07 Valencell, Inc. Systems and methods for variable filter adjustment by heart rate metric feedback
US9180288B2 (en) 2011-09-01 2015-11-10 Zoll Medical Corporation Medical equipment electrodes
US9943269B2 (en) 2011-10-13 2018-04-17 Masimo Corporation System for displaying medical monitoring data
EP3584799B1 (en) 2011-10-13 2022-11-09 Masimo Corporation Medical monitoring hub
EP2765909B1 (en) 2011-10-13 2019-06-26 Masimo Corporation Physiological acoustic monitoring system
US9504386B2 (en) * 2011-10-20 2016-11-29 International Business Machines Corporation Controlling devices based on physiological measurements
US9622691B2 (en) 2011-10-31 2017-04-18 Abbott Diabetes Care Inc. Model based variable risk false glucose threshold alarm prevention mechanism
WO2013066873A1 (en) 2011-10-31 2013-05-10 Abbott Diabetes Care Inc. Electronic devices having integrated reset systems and methods thereof
WO2013070794A2 (en) 2011-11-07 2013-05-16 Abbott Diabetes Care Inc. Analyte monitoring device and methods
US9235683B2 (en) 2011-11-09 2016-01-12 Proteus Digital Health, Inc. Apparatus, system, and method for managing adherence to a regimen
RU2634680C2 (en) * 2011-11-22 2017-11-02 Конинклейке Филипс Н.В. Evaluation of cortisol level and psychological equilibrium or violation of psychological equilibrium
US9317656B2 (en) 2011-11-23 2016-04-19 Abbott Diabetes Care Inc. Compatibility mechanisms for devices in a continuous analyte monitoring system and methods thereof
US8710993B2 (en) 2011-11-23 2014-04-29 Abbott Diabetes Care Inc. Mitigating single point failure of devices in an analyte monitoring system and methods thereof
US20130131541A1 (en) * 2011-11-23 2013-05-23 Eternal Electronics Limited Cell phone app for coupling a cell phone to a basal body temperature thermometer for predicting ovulation
US9311825B2 (en) 2011-12-22 2016-04-12 Senstream, Inc. Biometric sensing and processing apparatus for mobile gaming, education, and wellness applications
TW201325548A (en) * 2011-12-30 2013-07-01 Chih-Liang Wu Biometric information sensing device
US9339691B2 (en) 2012-01-05 2016-05-17 Icon Health & Fitness, Inc. System and method for controlling an exercise device
CN104168828A (en) 2012-01-16 2014-11-26 瓦伦赛尔公司 Physiological metric estimation rise and fall limiting
CN104203088B (en) 2012-01-16 2017-09-22 瓦伦赛尔公司 Physical signs error is reduced using inertial frequency
US10149616B2 (en) 2012-02-09 2018-12-11 Masimo Corporation Wireless patient monitoring device
US10307111B2 (en) 2012-02-09 2019-06-04 Masimo Corporation Patient position detection system
TWI449521B (en) * 2012-02-09 2014-08-21 Ind Tech Res Inst Rehabilitation coaching method and rehabilitation coaching system
US20130213147A1 (en) 2012-02-22 2013-08-22 Nike, Inc. Footwear Having Sensor System
US11684111B2 (en) 2012-02-22 2023-06-27 Nike, Inc. Motorized shoe with gesture control
US11071344B2 (en) 2012-02-22 2021-07-27 Nike, Inc. Motorized shoe with gesture control
US9569986B2 (en) * 2012-02-27 2017-02-14 The Nielsen Company (Us), Llc System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications
US9320375B2 (en) 2014-06-16 2016-04-26 Iqhydr8, Llc Activity and volume sensing beverage container cap system
US9151605B1 (en) 2014-06-16 2015-10-06 Iqhydr8, Llc Beverage container cap
US9198454B2 (en) 2012-03-08 2015-12-01 Nusirt Sciences, Inc. Compositions, methods, and kits for regulating energy metabolism
US9327960B2 (en) 2014-06-16 2016-05-03 Iqhydr8, Llc Volume sensing beverage container cap system
US9135805B2 (en) * 2012-03-27 2015-09-15 IntelligentM Methods and systems for encouraging and enforcing hand hygiene
US9545459B2 (en) 2012-03-31 2017-01-17 Depuy Ireland Unlimited Company Container for surgical instruments and system including same
US9536449B2 (en) 2013-05-23 2017-01-03 Medibotics Llc Smart watch and food utensil for monitoring food consumption
US9442100B2 (en) 2013-12-18 2016-09-13 Medibotics Llc Caloric intake measuring system using spectroscopic and 3D imaging analysis
US9456916B2 (en) 2013-03-12 2016-10-04 Medibotics Llc Device for selectively reducing absorption of unhealthy food
US10772559B2 (en) 2012-06-14 2020-09-15 Medibotics Llc Wearable food consumption monitor
US9254099B2 (en) 2013-05-23 2016-02-09 Medibotics Llc Smart watch and food-imaging member for monitoring food consumption
US9042596B2 (en) 2012-06-14 2015-05-26 Medibotics Llc Willpower watch (TM)—a wearable food consumption monitor
US9044171B2 (en) 2012-06-22 2015-06-02 Fitbit, Inc. GPS power conservation using environmental data
US9044149B2 (en) 2012-06-22 2015-06-02 Fitbit, Inc. Heart rate data collection
US11029199B2 (en) 2012-06-22 2021-06-08 Fitbit, Inc. Ambient light determination using physiological metric sensor data
US8948832B2 (en) 2012-06-22 2015-02-03 Fitbit, Inc. Wearable heart rate monitor
US9641239B2 (en) 2012-06-22 2017-05-02 Fitbit, Inc. Adaptive data transfer using bluetooth
US9005129B2 (en) 2012-06-22 2015-04-14 Fitbit, Inc. Wearable heart rate monitor
US9597014B2 (en) 2012-06-22 2017-03-21 Fitbit, Inc. GPS accuracy refinement using external sensors
US10796346B2 (en) 2012-06-27 2020-10-06 Opower, Inc. Method and system for unusual usage reporting
MY182541A (en) 2012-07-23 2021-01-25 Proteus Digital Health Inc Techniques for manufacturing ingestible event markers comprising an ingestible component
US10132793B2 (en) 2012-08-30 2018-11-20 Abbott Diabetes Care Inc. Dropout detection in continuous analyte monitoring data during data excursions
US9547316B2 (en) 2012-09-07 2017-01-17 Opower, Inc. Thermostat classification method and system
CN104619253B (en) * 2012-09-10 2017-11-07 皇家飞利浦有限公司 For the apparatus and method for the reliability for improving physiological parameter measurement
US10159440B2 (en) 2014-03-10 2018-12-25 L.I.F.E. Corporation S.A. Physiological monitoring garments
US9817440B2 (en) 2012-09-11 2017-11-14 L.I.F.E. Corporation S.A. Garments having stretchable and conductive ink
US10462898B2 (en) 2012-09-11 2019-10-29 L.I.F.E. Corporation S.A. Physiological monitoring garments
US8948839B1 (en) 2013-08-06 2015-02-03 L.I.F.E. Corporation S.A. Compression garments having stretchable and conductive ink
US11246213B2 (en) 2012-09-11 2022-02-08 L.I.F.E. Corporation S.A. Physiological monitoring garments
US8945328B2 (en) 2012-09-11 2015-02-03 L.I.F.E. Corporation S.A. Methods of making garments having stretchable and conductive ink
US9282893B2 (en) 2012-09-11 2016-03-15 L.I.F.E. Corporation S.A. Wearable communication platform
US10201310B2 (en) 2012-09-11 2019-02-12 L.I.F.E. Corporation S.A. Calibration packaging apparatuses for physiological monitoring garments
US20190192064A1 (en) * 2012-09-12 2019-06-27 Mb Device Llc Micro-device and system for determining physiological condition of cervical tissue
US9968306B2 (en) 2012-09-17 2018-05-15 Abbott Diabetes Care Inc. Methods and apparatuses for providing adverse condition notification with enhanced wireless communication range in analyte monitoring systems
US20140081659A1 (en) 2012-09-17 2014-03-20 Depuy Orthopaedics, Inc. Systems and methods for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking
US9955937B2 (en) 2012-09-20 2018-05-01 Masimo Corporation Acoustic patient sensor coupler
US9749232B2 (en) 2012-09-20 2017-08-29 Masimo Corporation Intelligent medical network edge router
EP2901153A4 (en) 2012-09-26 2016-04-27 Abbott Diabetes Care Inc Method and apparatus for improving lag correction during in vivo measurement of analyte concentration with analyte concentration variability and range data
CN104703535B (en) * 2012-09-26 2016-12-28 挪度医疗器械有限公司 Sphygmometer for ewborn infant
US20140094940A1 (en) * 2012-09-28 2014-04-03 Saeed S. Ghassemzadeh System and method of detection of a mode of motion
US9633401B2 (en) 2012-10-15 2017-04-25 Opower, Inc. Method to identify heating and cooling system power-demand
US9746382B2 (en) 2012-10-16 2017-08-29 Avery Dennison Retail Information Services, Llc Sensor with controllable thermal contact for temperature monitoring
CA2888871C (en) 2012-10-18 2016-08-09 Proteus Digital Health, Inc. Apparatus, system, and method to adaptively optimize power dissipation and broadcast power in a power source for a communication device
US9386932B2 (en) 2012-10-29 2016-07-12 Microsoft Technology Licensing, Llc Wearable personal information system
WO2014074913A1 (en) 2012-11-08 2014-05-15 Alivecor, Inc. Electrocardiogram signal detection
AU2013344753B2 (en) 2012-11-13 2018-09-27 Nusirt Sciences, Inc. Compositions and methods for increasing energy metabolism
US10143405B2 (en) 2012-11-14 2018-12-04 MAD Apparel, Inc. Wearable performance monitoring, analysis, and feedback systems and methods
US9526437B2 (en) 2012-11-21 2016-12-27 i4c Innovations Inc. Animal health and wellness monitoring using UWB radar
US9299084B2 (en) 2012-11-28 2016-03-29 Wal-Mart Stores, Inc. Detecting customer dissatisfaction using biometric data
US9445768B2 (en) 2012-11-29 2016-09-20 Neurosky, Inc. Personal biosensor accessory attachment
US9865176B2 (en) 2012-12-07 2018-01-09 Koninklijke Philips N.V. Health monitoring system
US20140163396A1 (en) * 2012-12-11 2014-06-12 Fujitsu Limited Determining respiratory rate
US9220430B2 (en) 2013-01-07 2015-12-29 Alivecor, Inc. Methods and systems for electrode placement
CN104969035B (en) 2013-01-09 2019-05-10 瓦伦赛尔公司 Step detection method and system based on inertia harmonic wave
US9092664B2 (en) * 2013-01-14 2015-07-28 Qualcomm Incorporated Use of EMG for subtle gesture recognition on surfaces
US9728059B2 (en) 2013-01-15 2017-08-08 Fitbit, Inc. Sedentary period detection utilizing a wearable electronic device
US9039614B2 (en) 2013-01-15 2015-05-26 Fitbit, Inc. Methods, systems and devices for measuring fingertip heart rate
JP6437455B2 (en) * 2013-01-21 2018-12-12 イナラ ヘルス, インコーポレイテッド Handheld cordless non-nutrition sucking assessment device and method of using such a device
US10067516B2 (en) 2013-01-22 2018-09-04 Opower, Inc. Method and system to control thermostat using biofeedback
US10244986B2 (en) 2013-01-23 2019-04-02 Avery Dennison Corporation Wireless sensor patches and methods of manufacturing
WO2014116825A1 (en) 2013-01-24 2014-07-31 Irhythm Technologies, Inc. Physiological monitoring device
US10856749B2 (en) 2013-01-28 2020-12-08 Valencell, Inc. Physiological monitoring devices having sensing elements decoupled from body motion
JP2016508529A (en) 2013-01-29 2016-03-22 プロテウス デジタル ヘルス, インコーポレイテッド Highly expandable polymer film and composition containing the same
US9743861B2 (en) 2013-02-01 2017-08-29 Nike, Inc. System and method for analyzing athletic activity
US11006690B2 (en) 2013-02-01 2021-05-18 Nike, Inc. System and method for analyzing athletic activity
US10926133B2 (en) 2013-02-01 2021-02-23 Nike, Inc. System and method for analyzing athletic activity
US9011365B2 (en) 2013-03-12 2015-04-21 Medibotics Llc Adjustable gastrointestinal bifurcation (AGB) for reduced absorption of unhealthy food
US9067070B2 (en) 2013-03-12 2015-06-30 Medibotics Llc Dysgeusia-inducing neurostimulation for modifying consumption of a selected nutrient type
JP6127602B2 (en) * 2013-03-13 2017-05-17 沖電気工業株式会社 State recognition device, state recognition method, and computer program
EP2969058B1 (en) 2013-03-14 2020-05-13 Icon Health & Fitness, Inc. Strength training apparatus with flywheel and related methods
US9279734B2 (en) 2013-03-15 2016-03-08 Nike, Inc. System and method for analyzing athletic activity
US10149617B2 (en) 2013-03-15 2018-12-11 i4c Innovations Inc. Multiple sensors for monitoring health and wellness of an animal
JP5941240B2 (en) 2013-03-15 2016-06-29 プロテウス デジタル ヘルス, インコーポレイテッド Metal detector device, system and method
US9474475B1 (en) 2013-03-15 2016-10-25 Abbott Diabetes Care Inc. Multi-rate analyte sensor data collection with sample rate configurable signal processing
US10076285B2 (en) 2013-03-15 2018-09-18 Abbott Diabetes Care Inc. Sensor fault detection using analyte sensor data pattern comparison
US9675264B2 (en) 2013-03-15 2017-06-13 Peerbridge Health, Inc. System and method for monitoring and diagnosing patient condition based on wireless sensor monitoring data
US11744481B2 (en) 2013-03-15 2023-09-05 Otsuka Pharmaceutical Co., Ltd. System, apparatus and methods for data collection and assessing outcomes
AU2014236687A1 (en) 2013-03-15 2015-09-10 Nusirt Sciences, Inc. Leucine and nicotinic acid reduces lipid levels
WO2014145927A1 (en) 2013-03-15 2014-09-18 Alivecor, Inc. Systems and methods for processing and analyzing medical data
JP6498177B2 (en) 2013-03-15 2019-04-10 プロテウス デジタル ヘルス, インコーポレイテッド Identity authentication system and method
US10433773B1 (en) 2013-03-15 2019-10-08 Abbott Diabetes Care Inc. Noise rejection methods and apparatus for sparsely sampled analyte sensor data
US9087234B2 (en) 2013-03-15 2015-07-21 Nike, Inc. Monitoring fitness using a mobile device
US20140297329A1 (en) 2013-03-26 2014-10-02 Eric Rock Medication reconciliation system and method
US9619849B2 (en) 2013-03-26 2017-04-11 Eric Lee Rock Healthcare delivery system and method
US10817965B2 (en) * 2013-03-26 2020-10-27 Vivify Health, Inc. Dynamic video scripting system and method
US10296722B2 (en) 2013-03-26 2019-05-21 Vivify Health, Inc. Virtual rehabilitation system and method
US8976062B2 (en) 2013-04-01 2015-03-10 Fitbit, Inc. Portable biometric monitoring devices having location sensors
TWI476423B (en) * 2013-04-08 2015-03-11 Hon Hai Prec Ind Co Ltd Electronic device using protecting against disassembly
EP2983593B1 (en) 2013-04-08 2021-11-10 Irhythm Technologies, Inc. Skin abrader
US10719797B2 (en) 2013-05-10 2020-07-21 Opower, Inc. Method of tracking and reporting energy performance for businesses
US20160066837A1 (en) * 2013-05-18 2016-03-10 Sandra Patricia Melo Personal Device and Method for Integration of Mind/Body Focus Energy
US9529385B2 (en) 2013-05-23 2016-12-27 Medibotics Llc Smart watch and human-to-computer interface for monitoring food consumption
US9750433B2 (en) 2013-05-28 2017-09-05 Lark Technologies, Inc. Using health monitor data to detect macro and micro habits with a behavioral model
US9571143B2 (en) 2013-06-06 2017-02-14 Zih Corp. Interference rejection in ultra-wideband real time locating systems
US10437658B2 (en) 2013-06-06 2019-10-08 Zebra Technologies Corporation Method, apparatus, and computer program product for collecting and displaying sporting event data based on real time data for proximity and movement of objects
US11423464B2 (en) 2013-06-06 2022-08-23 Zebra Technologies Corporation Method, apparatus, and computer program product for enhancement of fan experience based on location data
US10609762B2 (en) 2013-06-06 2020-03-31 Zebra Technologies Corporation Method, apparatus, and computer program product improving backhaul of sensor and other data to real time location system network
US10001792B1 (en) 2013-06-12 2018-06-19 Opower, Inc. System and method for determining occupancy schedule for controlling a thermostat
US10004451B1 (en) * 2013-06-21 2018-06-26 Fitbit, Inc. User monitoring system
US10058290B1 (en) * 2013-06-21 2018-08-28 Fitbit, Inc. Monitoring device with voice interaction
US9993166B1 (en) * 2013-06-21 2018-06-12 Fitbit, Inc. Monitoring device using radar and measuring motion with a non-contact device
US10512407B2 (en) 2013-06-24 2019-12-24 Fitbit, Inc. Heart rate data collection
US9247911B2 (en) 2013-07-10 2016-02-02 Alivecor, Inc. Devices and methods for real-time denoising of electrocardiograms
US9796576B2 (en) 2013-08-30 2017-10-24 Proteus Digital Health, Inc. Container with electronically controlled interlock
RU2736776C2 (en) 2013-09-20 2020-11-20 Протеус Диджитал Хелс, Инк. Methods, devices and systems for receiving and decoding signals in the presence of noise using sections and deformation
US9577864B2 (en) 2013-09-24 2017-02-21 Proteus Digital Health, Inc. Method and apparatus for use with received electromagnetic signal at a frequency not known exactly in advance
US9408545B2 (en) 2013-09-25 2016-08-09 Bardy Diagnostics, Inc. Method for efficiently encoding and compressing ECG data optimized for use in an ambulatory ECG monitor
WO2015048194A1 (en) 2013-09-25 2015-04-02 Bardy Diagnostics, Inc. Self-contained personal air flow sensing monitor
US10251576B2 (en) 2013-09-25 2019-04-09 Bardy Diagnostics, Inc. System and method for ECG data classification for use in facilitating diagnosis of cardiac rhythm disorders with the aid of a digital computer
US9364155B2 (en) 2013-09-25 2016-06-14 Bardy Diagnostics, Inc. Self-contained personal air flow sensing monitor
US10736529B2 (en) 2013-09-25 2020-08-11 Bardy Diagnostics, Inc. Subcutaneous insertable electrocardiography monitor
US9433367B2 (en) 2013-09-25 2016-09-06 Bardy Diagnostics, Inc. Remote interfacing of extended wear electrocardiography and physiological sensor monitor
US9545204B2 (en) 2013-09-25 2017-01-17 Bardy Diagnostics, Inc. Extended wear electrocardiography patch
US9717433B2 (en) 2013-09-25 2017-08-01 Bardy Diagnostics, Inc. Ambulatory electrocardiography monitoring patch optimized for capturing low amplitude cardiac action potential propagation
US9655538B2 (en) 2013-09-25 2017-05-23 Bardy Diagnostics, Inc. Self-authenticating electrocardiography monitoring circuit
US9408551B2 (en) 2013-11-14 2016-08-09 Bardy Diagnostics, Inc. System and method for facilitating diagnosis of cardiac rhythm disorders with the aid of a digital computer
US10165946B2 (en) 2013-09-25 2019-01-01 Bardy Diagnostics, Inc. Computer-implemented system and method for providing a personal mobile device-triggered medical intervention
US10736531B2 (en) 2013-09-25 2020-08-11 Bardy Diagnostics, Inc. Subcutaneous insertable cardiac monitor optimized for long term, low amplitude electrocardiographic data collection
US11723575B2 (en) 2013-09-25 2023-08-15 Bardy Diagnostics, Inc. Electrocardiography patch
US10820801B2 (en) 2013-09-25 2020-11-03 Bardy Diagnostics, Inc. Electrocardiography monitor configured for self-optimizing ECG data compression
US9775536B2 (en) 2013-09-25 2017-10-03 Bardy Diagnostics, Inc. Method for constructing a stress-pliant physiological electrode assembly
US10463269B2 (en) 2013-09-25 2019-11-05 Bardy Diagnostics, Inc. System and method for machine-learning-based atrial fibrillation detection
US11213237B2 (en) 2013-09-25 2022-01-04 Bardy Diagnostics, Inc. System and method for secure cloud-based physiological data processing and delivery
US9737224B2 (en) 2013-09-25 2017-08-22 Bardy Diagnostics, Inc. Event alerting through actigraphy embedded within electrocardiographic data
US9700227B2 (en) 2013-09-25 2017-07-11 Bardy Diagnostics, Inc. Ambulatory electrocardiography monitoring patch optimized for capturing low amplitude cardiac action potential propagation
US9619660B1 (en) 2013-09-25 2017-04-11 Bardy Diagnostics, Inc. Computer-implemented system for secure physiological data collection and processing
US9717432B2 (en) 2013-09-25 2017-08-01 Bardy Diagnostics, Inc. Extended wear electrocardiography patch using interlaced wire electrodes
US10433751B2 (en) 2013-09-25 2019-10-08 Bardy Diagnostics, Inc. System and method for facilitating a cardiac rhythm disorder diagnosis based on subcutaneous cardiac monitoring data
US20190167139A1 (en) 2017-12-05 2019-06-06 Gust H. Bardy Subcutaneous P-Wave Centric Insertable Cardiac Monitor For Long Term Electrocardiographic Monitoring
US9433380B1 (en) 2013-09-25 2016-09-06 Bardy Diagnostics, Inc. Extended wear electrocardiography patch
US9655537B2 (en) 2013-09-25 2017-05-23 Bardy Diagnostics, Inc. Wearable electrocardiography and physiology monitoring ensemble
US10888239B2 (en) 2013-09-25 2021-01-12 Bardy Diagnostics, Inc. Remote interfacing electrocardiography patch
US9504423B1 (en) 2015-10-05 2016-11-29 Bardy Diagnostics, Inc. Method for addressing medical conditions through a wearable health monitor with the aid of a digital computer
US10667711B1 (en) 2013-09-25 2020-06-02 Bardy Diagnostics, Inc. Contact-activated extended wear electrocardiography and physiological sensor monitor recorder
US9345414B1 (en) 2013-09-25 2016-05-24 Bardy Diagnostics, Inc. Method for providing dynamic gain over electrocardiographic data with the aid of a digital computer
US10806360B2 (en) 2013-09-25 2020-10-20 Bardy Diagnostics, Inc. Extended wear ambulatory electrocardiography and physiological sensor monitor
US10624551B2 (en) 2013-09-25 2020-04-21 Bardy Diagnostics, Inc. Insertable cardiac monitor for use in performing long term electrocardiographic monitoring
US10433748B2 (en) 2013-09-25 2019-10-08 Bardy Diagnostics, Inc. Extended wear electrocardiography and physiological sensor monitor
US10799137B2 (en) 2013-09-25 2020-10-13 Bardy Diagnostics, Inc. System and method for facilitating a cardiac rhythm disorder diagnosis with the aid of a digital computer
US9615763B2 (en) 2013-09-25 2017-04-11 Bardy Diagnostics, Inc. Ambulatory electrocardiography monitor recorder optimized for capturing low amplitude cardiac action potential propagation
US9063164B1 (en) 2013-10-02 2015-06-23 Fitbit, Inc. Collaborative activity-data acquisition
US10832818B2 (en) 2013-10-11 2020-11-10 Masimo Corporation Alarm notification system
US10828007B1 (en) 2013-10-11 2020-11-10 Masimo Corporation Acoustic sensor with attachment portion
CA2922754C (en) 2013-10-16 2018-03-13 F. Hoffmann-La Roche Ag Communication interface clip for a handheld medical device
US20150111644A1 (en) * 2013-10-22 2015-04-23 Todd Christopher Larson Player ranking system based on multiple quantitative and qualitative scoring types
CA2928197A1 (en) 2013-10-23 2015-04-30 Quanttus, Inc. Consumer biometric devices
US10478075B2 (en) * 2013-10-25 2019-11-19 Qualcomm Incorporated System and method for obtaining bodily function measurements using a mobile device
WO2015063766A1 (en) 2013-10-29 2015-05-07 Kyma Medical Technologies Ltd. Antenna systems and devices and methods of manufacture thereof
US10084880B2 (en) 2013-11-04 2018-09-25 Proteus Digital Health, Inc. Social media networking based on physiologic information
USD717955S1 (en) 2013-11-07 2014-11-18 Bardy Diagnostics, Inc. Electrocardiography monitor
USD744659S1 (en) 2013-11-07 2015-12-01 Bardy Diagnostics, Inc. Extended wear electrode patch
USD831833S1 (en) 2013-11-07 2018-10-23 Bardy Diagnostics, Inc. Extended wear electrode patch
USD793566S1 (en) 2015-09-10 2017-08-01 Bardy Diagnostics, Inc. Extended wear electrode patch
USD801528S1 (en) 2013-11-07 2017-10-31 Bardy Diagnostics, Inc. Electrocardiography monitor
USD892340S1 (en) 2013-11-07 2020-08-04 Bardy Diagnostics, Inc. Extended wear electrode patch
US10292652B2 (en) 2013-11-23 2019-05-21 MAD Apparel, Inc. System and method for monitoring biometric signals
US11219396B2 (en) 2013-11-23 2022-01-11 MAD Apparel, Inc. System and method for monitoring biometric signals
US10321832B2 (en) 2013-11-23 2019-06-18 MAD Apparel, Inc. System and method for monitoring biometric signals
WO2015082564A1 (en) * 2013-12-03 2015-06-11 Imec Vzw Device and method for non-invasive measuring of analytes
US9420956B2 (en) 2013-12-12 2016-08-23 Alivecor, Inc. Methods and systems for arrhythmia tracking and scoring
JP5895993B2 (en) * 2013-12-25 2016-03-30 セイコーエプソン株式会社 Biological information measuring device
JP5880535B2 (en) * 2013-12-25 2016-03-09 セイコーエプソン株式会社 Biological information detection device
EP3623020A1 (en) 2013-12-26 2020-03-18 Icon Health & Fitness, Inc. Magnetic resistance mechanism in a cable machine
WO2015103620A1 (en) 2014-01-06 2015-07-09 Andrea Aliverti Systems and methods to automatically determine garment fit
US10885238B1 (en) 2014-01-09 2021-01-05 Opower, Inc. Predicting future indoor air temperature for building
WO2015107681A1 (en) 2014-01-17 2015-07-23 任天堂株式会社 Information processing system, information processing server, information processing program, and information providing method
TWM485701U (en) * 2014-01-29 2014-09-11 Han-Wei Zhang Wearable pieces with healthcare functions
WO2015118544A1 (en) 2014-02-05 2015-08-13 Kyma Medical Technologies Ltd. Systems, apparatuses and methods for determining blood pressure
US9947045B1 (en) 2014-02-07 2018-04-17 Opower, Inc. Selecting participants in a resource conservation program
US10031534B1 (en) 2014-02-07 2018-07-24 Opower, Inc. Providing set point comparison
US9852484B1 (en) 2014-02-07 2017-12-26 Opower, Inc. Providing demand response participation
US10037014B2 (en) 2014-02-07 2018-07-31 Opower, Inc. Behavioral demand response dispatch
TWM479113U (en) * 2014-02-13 2014-06-01 Cheng Uei Prec Ind Co Ltd Heartbeat detecting bracelet
US9031812B2 (en) 2014-02-27 2015-05-12 Fitbit, Inc. Notifications on a user device based on activity detected by an activity monitoring device
CA2939833A1 (en) 2014-02-27 2015-09-03 Nusirt Sciences, Inc. Compositions and methods for the reduction or prevention of hepatic steatosis
US9788794B2 (en) 2014-02-28 2017-10-17 Valencell, Inc. Method and apparatus for generating assessments using physical activity and biometric parameters
WO2015138339A1 (en) 2014-03-10 2015-09-17 Icon Health & Fitness, Inc. Pressure sensor to quantify work
US20170281038A1 (en) * 2014-03-12 2017-10-05 Zansors, Llc Wireless ecg acquisition and monitoring device and system
WO2015138734A1 (en) * 2014-03-12 2015-09-17 Zansors Llc Wireless ecg acquisition and monitoring device and system
JP6270557B2 (en) * 2014-03-13 2018-01-31 臼田総合研究所株式会社 Information input / output device and information input / output method
KR101563530B1 (en) * 2014-03-14 2015-10-27 연세대학교 원주산학협력단 System for sensing electromyogram and motion, and controlling method thereof
US9375149B2 (en) * 2014-03-18 2016-06-28 Welch Allyn, Inc. Noncontact thermometry systems and methods
US9835352B2 (en) 2014-03-19 2017-12-05 Opower, Inc. Method for saving energy efficient setpoints
US20170185748A1 (en) 2014-03-30 2017-06-29 Abbott Diabetes Care Inc. Method and Apparatus for Determining Meal Start and Peak Events in Analyte Monitoring Systems
US9727063B1 (en) 2014-04-01 2017-08-08 Opower, Inc. Thermostat set point identification
US9449409B2 (en) * 2014-04-11 2016-09-20 Fitbit, Inc. Graphical indicators in analog clock format
US9449365B2 (en) 2014-04-11 2016-09-20 Fitbit, Inc. Personalized scaling of graphical indicators
TWI507856B (en) * 2014-04-16 2015-11-11 Wistron Corp Transformable wearable electronic device
US10019739B1 (en) 2014-04-25 2018-07-10 Opower, Inc. Energy usage alerts for a climate control device
US10108973B2 (en) 2014-04-25 2018-10-23 Opower, Inc. Providing an energy target for high energy users
US10617354B2 (en) 2014-04-29 2020-04-14 MAD Apparel, Inc. Biometric electrode system and method of manufacture
US9344546B2 (en) 2014-05-06 2016-05-17 Fitbit, Inc. Fitness activity related messaging
US10179064B2 (en) 2014-05-09 2019-01-15 Sleepnea Llc WhipFlash [TM]: wearable environmental control system for predicting and cooling hot flashes
US10171603B2 (en) 2014-05-12 2019-01-01 Opower, Inc. User segmentation to provide motivation to perform a resource saving tip
US9763049B2 (en) 2014-05-15 2017-09-12 Pebble Technology Corp. Contextual information usage in systems that include accessory devices
US20150339949A1 (en) * 2014-05-20 2015-11-26 Matthew Landers Health and fitness tracker module software platform
ES2554136B1 (en) * 2014-05-27 2016-11-16 Miguel HERNÁNDEZ DÍAZ Remote monitoring system of multiple vital signs and automatic diagnosis of cardiovascular diseases in patients, with data transmission by mobile technology and activation of the medical emergency protocol.
US20150375083A1 (en) 2014-06-05 2015-12-31 Zih Corp. Method, Apparatus, And Computer Program Product For Enhancement Of Event Visualizations Based On Location Data
GB2541617B (en) 2014-06-05 2021-07-07 Zebra Tech Corp Systems, apparatus and methods for variable rate ultra-wideband communications
US9626616B2 (en) 2014-06-05 2017-04-18 Zih Corp. Low-profile real-time location system tag
US9759803B2 (en) 2014-06-06 2017-09-12 Zih Corp. Method, apparatus, and computer program product for employing a spatial association model in a real time location system
WO2015191445A1 (en) 2014-06-09 2015-12-17 Icon Health & Fitness, Inc. Cable system incorporated into a treadmill
EP3154426B1 (en) * 2014-06-12 2023-03-22 Koninklijke Philips N.V. Circadian phase detection system
US10398376B2 (en) 2014-06-17 2019-09-03 MAD Apparel, Inc. Garment integrated electrical interface system and method of manufacture
WO2015195965A1 (en) 2014-06-20 2015-12-23 Icon Health & Fitness, Inc. Post workout massage device
US10235662B2 (en) 2014-07-01 2019-03-19 Opower, Inc. Unusual usage alerts
US10024564B2 (en) 2014-07-15 2018-07-17 Opower, Inc. Thermostat eco-mode
US9428034B2 (en) 2014-07-21 2016-08-30 Ford Global Technologies, Llc Integrated vehicle cabin with driver or passengers' prior conditions and activities
US20160029898A1 (en) 2014-07-30 2016-02-04 Valencell, Inc. Physiological Monitoring Devices and Methods Using Optical Sensors
EP3199100A1 (en) 2014-08-06 2017-08-02 Valencell, Inc. Earbud with a physiological information sensor module
US10572889B2 (en) 2014-08-07 2020-02-25 Opower, Inc. Advanced notification to enable usage reduction
US10467249B2 (en) 2014-08-07 2019-11-05 Opower, Inc. Users campaign for peaking energy usage
US10410130B1 (en) 2014-08-07 2019-09-10 Opower, Inc. Inferring residential home characteristics based on energy data
US9576245B2 (en) 2014-08-22 2017-02-21 O Power, Inc. Identifying electric vehicle owners
US10762463B2 (en) * 2014-08-28 2020-09-01 Nicolas Bissantz Electronic boss
WO2016040337A1 (en) 2014-09-08 2016-03-17 KYMA Medical Technologies, Inc. Monitoring and diagnostics systems and methods
USD769063S1 (en) 2014-09-18 2016-10-18 Iqhydr8, Llc Beverage container cap with handle and integrated hole cover
US9952675B2 (en) 2014-09-23 2018-04-24 Fitbit, Inc. Methods, systems, and apparatuses to display visibility changes responsive to user gestures
US9808185B2 (en) 2014-09-23 2017-11-07 Fitbit, Inc. Movement measure generation in a wearable electronic device
US9794653B2 (en) 2014-09-27 2017-10-17 Valencell, Inc. Methods and apparatus for improving signal quality in wearable biometric monitoring devices
WO2016053943A1 (en) * 2014-09-29 2016-04-07 Nonin Medical, Inc. Interrupt detection for physiological sensor
AU2015323905A1 (en) * 2014-09-29 2017-04-27 MAD Apparel, Inc. Garment integrated electrical interface system and method of manufacture
US9459201B2 (en) 2014-09-29 2016-10-04 Zyomed Corp. Systems and methods for noninvasive blood glucose and other analyte detection and measurement using collision computing
CA2962502A1 (en) 2014-10-14 2016-04-21 Arsil Nayyar Hussain Systems, devices, and methods for capturing and outputting data regarding a bodily characteristic
WO2016070128A1 (en) 2014-10-31 2016-05-06 Irhythm Technologies, Inc. Wireless physiological monitoring device and systems
US9913611B2 (en) 2014-11-10 2018-03-13 MAD Apparel, Inc. Garment integrated sensing system and method
US10033184B2 (en) 2014-11-13 2018-07-24 Opower, Inc. Demand response device configured to provide comparative consumption information relating to proximate users or consumers
US20160161985A1 (en) * 2014-12-09 2016-06-09 Jack Ke Zhang Techniques for power source management using a wrist-worn device
JP2016116727A (en) * 2014-12-22 2016-06-30 株式会社人間と科学の研究所 Biological information management system
JP6665186B2 (en) * 2014-12-22 2020-03-13 コーニンクレッカ フィリップス エヌ ヴェKoninklijke Philips N.V. Method and apparatus for providing an alarm
KR102247518B1 (en) 2014-12-23 2021-05-03 삼성전자주식회사 Wearable apparatus, management server, management system having the same and method for controlling thereof
US11097155B2 (en) 2014-12-31 2021-08-24 Activbody, Inc. Exercise systems, methods, and apparatuses configured for evaluating muscular activity of users during physical exercise and/or providing feedback to users
US20160184634A1 (en) * 2014-12-31 2016-06-30 EZ as a Drink Productions, Inc. Exercise systems, methods, and apparatuses configured for evaluating muscular activity of users during physical exercise and/or providing feedback to users
WO2016115175A1 (en) 2015-01-12 2016-07-21 KYMA Medical Technologies, Inc. Systems, apparatuses and methods for radio frequency-based attachment sensing
KR20170120114A (en) * 2015-01-26 2017-10-30 쥐 메디칼 이노베이션스 홀딩스 엘티디 System and method for monitoring vital signs with earpiece
US11093950B2 (en) 2015-02-02 2021-08-17 Opower, Inc. Customer activity score
US10198483B2 (en) 2015-02-02 2019-02-05 Opower, Inc. Classification engine for identifying business hours
US10074097B2 (en) 2015-02-03 2018-09-11 Opower, Inc. Classification engine for classifying businesses based on power consumption
JP6497097B2 (en) 2015-02-05 2019-04-10 セイコーエプソン株式会社 Vaporization calorimeter, biological information measuring device, and electronic device
US10371861B2 (en) 2015-02-13 2019-08-06 Opower, Inc. Notification techniques for reducing energy usage
US10251605B2 (en) 2015-02-16 2019-04-09 Verily Life Sciences Llc Bandage type of continuous glucose monitoring system
US10154460B1 (en) 2015-02-17 2018-12-11 Halo Wearables LLC Power management for wearable devices
US9613515B2 (en) * 2015-02-27 2017-04-04 Ford Global Technologies, Llc Method and apparatus for occupant customized wellness monitoring
US10391361B2 (en) 2015-02-27 2019-08-27 Icon Health & Fitness, Inc. Simulating real-world terrain on an exercise device
JP6759526B2 (en) 2015-02-27 2020-09-23 セイコーエプソン株式会社 Heat flow meter and electronic equipment
US10201295B2 (en) 2015-03-13 2019-02-12 Verily Life Sciences Llc User interactions for a bandage type monitoring device
US11272879B2 (en) * 2015-03-23 2022-03-15 Consensus Orthopedics, Inc. Systems and methods using a wearable device for monitoring an orthopedic implant and rehabilitation
US11684260B2 (en) 2015-03-23 2023-06-27 Tracpatch Health, Inc. System and methods with user interfaces for monitoring physical therapy and rehabilitation
JP5781247B1 (en) * 2015-04-15 2015-09-16 浄真 清水 Status level display processing program, status level display processing device, and status level display processing method
US10251565B2 (en) 2015-04-30 2019-04-09 Dna Medicine Institute, Inc. Multi-channel vitals device
RU2593797C1 (en) 2015-05-06 2016-08-10 Общество С Ограниченной Ответственностью "Хилби" Sensor unit
JP6498325B2 (en) 2015-05-13 2019-04-10 アライヴコア・インコーポレーテッド Discrepancy monitoring
US9936250B2 (en) 2015-05-19 2018-04-03 The Nielsen Company (Us), Llc Methods and apparatus to adjust content presented to an individual
US9392946B1 (en) 2015-05-28 2016-07-19 Fitbit, Inc. Heart rate sensor with high-aspect-ratio photodetector element
US10292630B2 (en) 2015-06-01 2019-05-21 Verily Life Sciences Llc Optical sensor for bandage type monitoring device
US10817789B2 (en) 2015-06-09 2020-10-27 Opower, Inc. Determination of optimal energy storage methods at electric customer service points
AU2016278357A1 (en) 2015-06-15 2018-01-04 Medibio Limited Method and system for monitoring stress conditions
US10912508B2 (en) 2015-06-15 2021-02-09 Medibio Limited Method and system for assessing mental state
US9542828B1 (en) 2015-06-22 2017-01-10 Peter D. Haaland System, device, and method for measurement of hand hygiene technique
US10235902B2 (en) * 2015-06-25 2019-03-19 Core Metabolics LLC Calorie optimization respiratory exchange (CORE) metabolic profile system and method
US10276062B2 (en) * 2015-06-25 2019-04-30 Core Metabolics LLC Calorie optimization respiratory exchange fat macro utilization metabolic profile and method
US10765353B2 (en) 2015-07-02 2020-09-08 Verily Life Sciences Llc Calibration methods for a bandage-type analyte sensor
USD791942S1 (en) 2015-07-02 2017-07-11 Arsil Nayyar Hussain Stethoscope
US11553883B2 (en) 2015-07-10 2023-01-17 Abbott Diabetes Care Inc. System, device and method of dynamic glucose profile response to physiological parameters
CA2994362C (en) 2015-07-20 2023-12-12 L.I.F.E. Corporation S.A. Flexible fabric ribbon connectors for garments with sensors and electronics
US11051543B2 (en) 2015-07-21 2021-07-06 Otsuka Pharmaceutical Co. Ltd. Alginate on adhesive bilayer laminate film
CN108135479A (en) * 2015-07-24 2018-06-08 外分泌腺系统公司 The device of wicking volume between sensor and sweat gland with reduction
US10105100B2 (en) 2015-07-28 2018-10-23 Verily Life Sciences Llc Display on a bandage-type monitoring device
US9958360B2 (en) 2015-08-05 2018-05-01 Opower, Inc. Energy audit device
CN107847161A (en) * 2015-08-07 2018-03-27 皇家飞利浦有限公司 Generate the designator of the situation of patient
CN106445101A (en) 2015-08-07 2017-02-22 飞比特公司 Method and system for identifying user
CN106473728A (en) * 2015-08-28 2017-03-08 华硕电脑股份有限公司 Wearable electronic installation and palmic rate method for measurement
US10226187B2 (en) 2015-08-31 2019-03-12 Masimo Corporation Patient-worn wireless physiological sensor
USD766447S1 (en) 2015-09-10 2016-09-13 Bardy Diagnostics, Inc. Extended wear electrode patch
US20180338732A1 (en) * 2015-09-21 2018-11-29 Board Of Regents, The University Of Texas System Systems and methods for monitoring heart and lung activity
US10206623B2 (en) * 2015-09-28 2019-02-19 Apple Inc. Band tightness sensor of a wearable device
US10285645B2 (en) 2015-09-28 2019-05-14 Apple Inc. Sensing contact force related to user wearing an electronic device
US10945618B2 (en) 2015-10-23 2021-03-16 Valencell, Inc. Physiological monitoring devices and methods for noise reduction in physiological signals based on subject activity type
WO2017070463A1 (en) 2015-10-23 2017-04-27 Valencell, Inc. Physiological monitoring devices and methods that identify subject activity type
US10559044B2 (en) 2015-11-20 2020-02-11 Opower, Inc. Identification of peak days
CN105326484A (en) * 2015-11-27 2016-02-17 南京邮电大学 Intelligent clothing suit system and method based on wireless sensor network
US11206989B2 (en) 2015-12-10 2021-12-28 Fitbit, Inc. Light field management in an optical biological parameter sensor
US10568525B1 (en) 2015-12-14 2020-02-25 Fitbit, Inc. Multi-wavelength pulse oximetry
CN105380626A (en) * 2015-12-27 2016-03-09 哈尔滨米米米业科技有限公司 Continuous non-invasive blood pressure detection system
JP6763142B2 (en) 2015-12-28 2020-09-30 セイコーエプソン株式会社 Internal temperature measuring device, wrist-mounted device and internal temperature measuring method
US20170200392A1 (en) * 2016-01-07 2017-07-13 Sky Leeland Canine Core 22 human training and weight loss system
RU167630U1 (en) * 2016-01-20 2017-01-10 Федеральное государственное бюджетное образовательное учреждение высшего образования "Тверской государственный технический университет" Device for registration and analysis of human respiratory noise
US10181021B2 (en) 2016-02-01 2019-01-15 Fitbit, Inc. Method and apparatus for off-body detection for wearable device
JP6260630B2 (en) * 2016-02-04 2018-01-17 セイコーエプソン株式会社 Biological information detection device
US10188345B2 (en) 2016-02-12 2019-01-29 Fitbit, Inc. Method and apparatus for providing biofeedback during meditation exercise
US10080530B2 (en) 2016-02-19 2018-09-25 Fitbit, Inc. Periodic inactivity alerts and achievement messages
DE102016203325A1 (en) * 2016-03-01 2017-09-07 Robert Bosch Gmbh Method, apparatus and system for determining a transition between postures of a person
US10155360B2 (en) * 2016-03-11 2018-12-18 Georgia-Pacific Gypsum Llc Gypsum panels, systems, and methods
US10272317B2 (en) 2016-03-18 2019-04-30 Icon Health & Fitness, Inc. Lighted pace feature in a treadmill
US10625137B2 (en) 2016-03-18 2020-04-21 Icon Health & Fitness, Inc. Coordinated displays in an exercise device
US10493349B2 (en) 2016-03-18 2019-12-03 Icon Health & Fitness, Inc. Display on exercise device
JP6683518B2 (en) * 2016-03-25 2020-04-22 テルモ株式会社 Chemical liquid administration device and image display program
US9554738B1 (en) 2016-03-30 2017-01-31 Zyomed Corp. Spectroscopic tomography systems and methods for noninvasive detection and measurement of analytes using collision computing
US10568019B2 (en) 2016-04-19 2020-02-18 Industrial Scientific Corporation Worker safety system
US10533965B2 (en) 2016-04-19 2020-01-14 Industrial Scientific Corporation Combustible gas sensing element with cantilever support
EP3448249A4 (en) 2016-04-29 2019-10-09 Fitbit, Inc. Multi-channel photoplethysmography sensor
WO2017190085A1 (en) 2016-04-29 2017-11-02 Fitbit, Inc. Sleep monitoring system with optional alarm functionality
US10360787B2 (en) 2016-05-05 2019-07-23 Hill-Rom Services, Inc. Discriminating patient care communications system
US10488527B2 (en) 2016-05-19 2019-11-26 Fitbit, Inc. Automatic tracking of geolocation data for exercises
US9730027B2 (en) 2016-05-19 2017-08-08 Fitbit, Inc. Back-filling of geolocation-based exercise routes
US10325514B2 (en) 2016-06-02 2019-06-18 Fitbit, Inc. Systems and techniques for tracking sleep consistency and sleep goals
US11207020B2 (en) * 2016-06-27 2021-12-28 General Electric Company Fetal monitoring hub
CA3029445A1 (en) 2016-07-01 2018-01-04 L.I.F.E. Corporation S.A. Biometric identification by garments having a plurality of sensors
BE1024349B1 (en) * 2016-07-04 2018-02-05 Jeppe Verbist Wrist watch
US10617302B2 (en) 2016-07-07 2020-04-14 Masimo Corporation Wearable pulse oximeter and respiration monitor
US10966662B2 (en) 2016-07-08 2021-04-06 Valencell, Inc. Motion-dependent averaging for physiological metric estimating systems and methods
JP6891414B2 (en) * 2016-07-14 2021-06-18 セイコーエプソン株式会社 measuring device
AT518904B1 (en) * 2016-07-20 2019-02-15 Thales Austria Gmbh An installation for determining at least one state of a train
EP3487393A4 (en) 2016-07-22 2020-01-15 Proteus Digital Health, Inc. Electromagnetic sensing and detection of ingestible event markers
US20180028069A1 (en) * 2016-07-29 2018-02-01 VivaLnk Inc. Wearable thermometer patch for accurate measurement of human skin temperature
US11207021B2 (en) 2016-09-06 2021-12-28 Fitbit, Inc Methods and systems for labeling sleep states
US10839712B2 (en) * 2016-09-09 2020-11-17 International Business Machines Corporation Monitoring learning performance using neurofeedback
US10671705B2 (en) 2016-09-28 2020-06-02 Icon Health & Fitness, Inc. Customizing recipe recommendations
JP7197473B2 (en) 2016-10-13 2022-12-27 マシモ・コーポレイション System and method for patient fall detection
ES2668631B1 (en) * 2016-10-17 2019-04-25 Pi Tech Labs S L INDUCTOR DEVICE-DETECTOR OF SKIN RESPONSES
CN109963499B (en) 2016-10-26 2022-02-25 大冢制药株式会社 Method for manufacturing capsules with ingestible event markers
EP3533062A4 (en) 2016-10-26 2020-05-13 Virginia Flavin Pribanic System and method for synthetic interaction with user and devices
US10238301B2 (en) 2016-11-15 2019-03-26 Avidhrt, Inc. Vital monitoring device, system, and method
CH713267A1 (en) * 2016-12-21 2018-06-29 Greenteg Ag Sensor unit for a portable computer system and integration of the sensor unit in the housing of the computer system.
TWI707125B (en) * 2016-12-30 2020-10-11 豪展醫療科技股份有限公司 Wearable body temperature monitoring device and method
WO2018144715A1 (en) * 2017-02-01 2018-08-09 Consensus Orthopedics, Inc. Systems and methods using a wearable device for monitoring an orthopedic implant and rehabilitation
CN110612055A (en) * 2017-02-01 2019-12-24 合意骨科有限公司 System and method for monitoring physical therapy and rehabilitation of joints
US11185270B1 (en) * 2017-02-03 2021-11-30 Yongwu Yang Wearable device and method for monitoring muscle tension and other physiological data
JP7044225B2 (en) * 2017-02-07 2022-03-30 浩士 中村 Heart rate and respiration rate measuring device
US10226632B2 (en) * 2017-02-21 2019-03-12 International Business Machines Corporation Methods and systems for controlling implantable medical devices using wearable technology
WO2018175489A1 (en) 2017-03-21 2018-09-27 Abbott Diabetes Care Inc. Methods, devices and system for providing diabetic condition diagnosis and therapy
US11051706B1 (en) 2017-04-07 2021-07-06 Fitbit, Inc. Multiple source-detector pair photoplethysmography (PPG) sensor
US10624561B2 (en) 2017-04-12 2020-04-21 Fitbit, Inc. User identification by biometric monitoring device
CN107049338A (en) * 2017-04-12 2017-08-18 河南工业大学 A kind of medical use mood detection means communicated based on computer
EP3634207A4 (en) * 2017-05-10 2021-05-26 Humane, LLC System and apparatus for fertility and hormonal cycle awareness
KR101828068B1 (en) * 2017-05-22 2018-02-12 유정시스템(주) User-customized wrist watch type band and method for monitoring driver condition
US10709339B1 (en) * 2017-07-03 2020-07-14 Senstream, Inc. Biometric wearable for continuous heart rate and blood pressure monitoring
US11069220B2 (en) 2017-07-10 2021-07-20 Biovigil Hygiene Technologies, Llc Hand cleanliness monitoring
US10849501B2 (en) * 2017-08-09 2020-12-01 Blue Spark Technologies, Inc. Body temperature logging patch
WO2019030746A1 (en) 2017-08-10 2019-02-14 Zoll Medical Israel Ltd. Systems, devices and methods for physiological monitoring of patients
US20190053754A1 (en) * 2017-08-18 2019-02-21 Fitbit, Inc. Automated detection of breathing disturbances
CN109429312B (en) * 2017-08-25 2022-03-08 中国移动通信有限公司研究院 Energy-saving method and device for large-scale antenna system base station, base station and storage medium
CN107485394A (en) * 2017-09-19 2017-12-19 李雪芹 A kind of spiritual clinical pressure measuring system
IT201700116553A1 (en) * 2017-10-16 2019-04-16 Tecnimed Srl DEVICE FOR DETECTION OF PHYSICAL AND PHYSIOLOGICAL PARAMETERS OF A USER
US11045144B2 (en) 2017-10-20 2021-06-29 Ausculsciences, Inc. Coronary artery disease detection signal processing system and method
WO2019083863A1 (en) 2017-10-23 2019-05-02 Patent Holding Company 001, Llc Communication devices, methods, and systems
CN107638174B (en) * 2017-10-25 2020-12-22 何雄英 Heart rate detection method and device for improving accuracy
CN109745023A (en) * 2017-11-07 2019-05-14 研能科技股份有限公司 Wearable blood pressure measuring device
KR101828067B1 (en) * 2017-12-14 2018-02-09 유정시스템(주) Wristband for monitoring driver condition
CN116898406A (en) * 2017-12-22 2023-10-20 瑞思迈传感器技术有限公司 Apparatus, system, and method for motion sensing
WO2019122414A1 (en) 2017-12-22 2019-06-27 Resmed Sensor Technologies Limited Apparatus, system, and method for physiological sensing in vehicles
US10742399B2 (en) 2017-12-28 2020-08-11 Intel Corporation Context-aware image compression
US11349753B2 (en) * 2017-12-28 2022-05-31 Intel Corporation Converged routing for distributed computing systems
US10607484B2 (en) 2017-12-28 2020-03-31 Intel Corporation Privacy-preserving distributed visual data processing
CN108392200B (en) * 2017-12-29 2021-10-29 深圳市亮动科技开发有限公司 Electrode component of electrocardio monitoring equipment and electrocardio monitoring equipment thereof
CN111867475B (en) * 2018-02-13 2023-06-23 慢迈公司 Infrasound biosensor system and method
KR20200123796A (en) * 2018-02-16 2020-10-30 노오쓰웨스턴 유니버시티 Wireless medical sensor and method
US10629041B2 (en) * 2018-04-19 2020-04-21 Carrier Corporation Biometric feedback for intrusion system control
WO2019204368A1 (en) 2018-04-19 2019-10-24 Masimo Corporation Mobile patient alarm display
US10898653B2 (en) * 2018-05-08 2021-01-26 Companion Medical, Inc. Intelligent medication delivery systems and methods for dose setting and dispensing monitoring
US11109787B2 (en) * 2018-05-21 2021-09-07 Vine Medical LLC Multi-tip probe for obtaining bioelectrical measurements
US20190391651A1 (en) * 2018-06-20 2019-12-26 Mayu, Inc. Flexible and tactile pressure sensitive switch sensors
US10580267B2 (en) * 2018-06-29 2020-03-03 Intel Corporation Movable haptic actuator
US11544591B2 (en) * 2018-08-21 2023-01-03 Google Llc Framework for a computing system that alters user behavior
CN109157213A (en) * 2018-09-29 2019-01-08 天津时代怡诺科技股份有限公司 A kind of portable electrocardiogram test instrument
CA3114760A1 (en) * 2018-10-02 2020-04-09 WearOptimo Pty Ltd A system for determining fluid level in a biological subject
BE1026710B1 (en) * 2018-10-17 2020-05-18 Monoa Bvba Portable measuring device that is portable on a person's body
CN109528160A (en) * 2018-10-26 2019-03-29 合肥思立普医疗科技发展有限公司 A kind of bed surface and detection system having monitoring insomnia function
DE102018127619B4 (en) * 2018-11-06 2020-10-15 Schott Ag Wearable electronic device and process for its manufacture
US10568570B1 (en) 2019-02-14 2020-02-25 Trungram Gyaltrul Sherpa Methods and systems for providing a preferred fitness state of a user
JP7289095B2 (en) * 2019-02-28 2023-06-09 パナソニックIpマネジメント株式会社 sleep education system, sleep education method and program
US10905601B2 (en) * 2019-04-12 2021-02-02 Verily Life Sciences Llc Wearable sensor enclosure
USD909894S1 (en) 2019-04-12 2021-02-09 Verily Life Sciences Llc Sensor enclosure
AU2020259445A1 (en) * 2019-04-17 2021-12-02 Masimo Corporation Patient monitoring systems, devices, and methods
US11246187B2 (en) 2019-05-30 2022-02-08 Industrial Scientific Corporation Worker safety system with scan mode
US11096579B2 (en) 2019-07-03 2021-08-24 Bardy Diagnostics, Inc. System and method for remote ECG data streaming in real-time
US11116451B2 (en) 2019-07-03 2021-09-14 Bardy Diagnostics, Inc. Subcutaneous P-wave centric insertable cardiac monitor with energy harvesting capabilities
US11696681B2 (en) 2019-07-03 2023-07-11 Bardy Diagnostics Inc. Configurable hardware platform for physiological monitoring of a living body
TWI735138B (en) * 2019-08-02 2021-08-01 華廣生技股份有限公司 Physiological signal sensing device
CN110507294B (en) * 2019-08-07 2022-02-08 北京安龙脉德医学科技有限公司 First-aid system based on internet information transmission
JPWO2021064824A1 (en) * 2019-09-30 2021-04-08
GB2588580B (en) * 2019-10-11 2022-06-22 Windtech As Measuring environmental exposure
US10878959B1 (en) * 2019-10-25 2020-12-29 Anexa Labs Llc Electronic device for monitoring health metrics
US11277487B2 (en) * 2019-12-16 2022-03-15 Drroyer, Pllc Proxy server interface for biodfeedback device
US11152664B2 (en) 2019-12-24 2021-10-19 Anexa Labs Llc Compact electronics with optical sensors
CN111110206A (en) * 2019-12-27 2020-05-08 昆山朗捷通物联信息有限公司 Intelligent wearable device based on data acquisition
US10863928B1 (en) 2020-01-28 2020-12-15 Consensus Orthopedics, Inc. System and methods for monitoring the spine, balance, gait, or posture of a patient
CA3171482A1 (en) 2020-02-12 2021-08-19 Irhythm Technologies, Inc Non-invasive cardiac monitor and methods of using recorded cardiac data to infer a physiological characteristic of a patient
USD974193S1 (en) 2020-07-27 2023-01-03 Masimo Corporation Wearable temperature measurement device
USD980091S1 (en) 2020-07-27 2023-03-07 Masimo Corporation Wearable temperature measurement device
WO2022032118A1 (en) 2020-08-06 2022-02-10 Irhythm Technologies, Inc. Electrical components for physiological monitoring device
CN116322497A (en) 2020-08-06 2023-06-23 意锐瑟科技公司 Viscous physiological monitoring device
WO2022087476A1 (en) * 2020-10-22 2022-04-28 Wrist 19's Inc Wearable dispensing systems, methods, and apparatuses
US11911155B2 (en) * 2021-07-30 2024-02-27 Current Health Limited Monitoring apparatus and method
KR20230019599A (en) * 2021-08-02 2023-02-09 삼성전자주식회사 Sensor structure and electronic device including same
USD1000975S1 (en) 2021-09-22 2023-10-10 Masimo Corporation Wearable temperature measurement device
CN116236194A (en) * 2021-12-07 2023-06-09 上海微创生命科技有限公司 Blood glucose monitoring circuit and medical equipment

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5902250A (en) * 1997-03-31 1999-05-11 President And Fellows Of Harvard College Home-based system and method for monitoring sleep state and assessing cardiorespiratory risk
US5957854A (en) * 1993-09-04 1999-09-28 Besson; Marcus Wireless medical diagnosis and monitoring equipment
US6117077A (en) * 1999-01-22 2000-09-12 Del Mar Medical Systems, Llc Long-term, ambulatory physiological recorder
US20020019586A1 (en) * 2000-06-16 2002-02-14 Eric Teller Apparatus for monitoring health, wellness and fitness
US20020183646A1 (en) * 2001-03-30 2002-12-05 Stivoric John M. System for monitoring health, wellness and fitness having a method and apparatus for improved measurement of heat flow
US20030088196A1 (en) * 2001-11-02 2003-05-08 Epm Development Systems Corporation Customized physiological monitor
US6597231B2 (en) * 2000-07-27 2003-07-22 Murata Manufacturing Co., Ltd. Semiconductor switching circuit and semiconductor device using same

Family Cites Families (328)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3870034A (en) 1973-03-26 1975-03-11 Cyborg Corp Personal galvanic skin response monitoring instrument
CH579798A5 (en) * 1974-01-29 1976-09-15 Dubs Paul Battery-operated pocket calculator - has key-operated control elements and retaining attachment
NL7402355A (en) * 1974-02-21 1975-08-25 Philips Nv SKIN ELECTRODE.
US4038976A (en) * 1975-03-14 1977-08-02 Hardy Frank M Pulse indicator
IT1041291B (en) 1975-08-21 1980-01-10 Raggiotti G BODY TEMPERATURE CONTROL AND INDICATION DEVICE
US4052979A (en) 1975-12-04 1977-10-11 Mary Ann Scherr Jewelry and bracelet heartbeat monitor
US4151831A (en) 1976-11-15 1979-05-01 Safetime Monitors, Inc. Fertility indicator
US4148304A (en) 1976-11-29 1979-04-10 Bmd Development Trust Device for measuring ovulation
US4129125A (en) 1976-12-27 1978-12-12 Camin Research Corp. Patient monitoring system
US4192000A (en) 1977-07-14 1980-03-04 Calorie Counter Limited Partnership Electronic calorie counter
IT1162556B (en) 1979-07-06 1987-04-01 Pirelli INDIVIDUAL MICROCLIMATE INDEX METER
JPS56118630A (en) 1980-02-23 1981-09-17 Sharp Corp Electronic clinical thermometer
USRE32758E (en) 1980-05-12 1988-10-04 New Mexico State University Foundation, Inc. Method for remotely monitoring the long term deep body temperature in female mammals
US4308870A (en) * 1980-06-04 1982-01-05 The Kendall Company Vital signs monitor
US4407295A (en) 1980-10-16 1983-10-04 Dna Medical, Inc. Miniature physiological monitor with interchangeable sensors
AT371326B (en) * 1981-06-16 1983-06-27 Wiener Innovationsges MEASURING PROBE FOR MONITORING A CHILD DURING BIRTH
JPS58501659A (en) 1981-10-13 1983-10-06 ラジオメ−タ・アクチセルスカベット Electrochemical measurement electrode device for blood parameter transcutaneous measurement and blood parameter transcutaneous measurement device
WO1983003744A1 (en) 1982-04-23 1983-11-10 Reinhold Herbert Edward Jr Ambulatory monitoring system with real time analysis and telephone transmission
US4509531A (en) 1982-07-28 1985-04-09 Teledyne Industries, Inc. Personal physiological monitor
US4608987A (en) 1982-12-03 1986-09-02 Physioventures, Inc. Apparatus for transmitting ECG data
US4557273A (en) 1982-12-27 1985-12-10 Stoller Kenneth P Method and apparatus for detecting ovulation
US4981139A (en) 1983-08-11 1991-01-01 Pfohl Robert L Vital signs monitoring and communication system
US4622979A (en) 1984-03-02 1986-11-18 Cardiac Monitoring, Inc. User-worn apparatus for monitoring and recording electrocardiographic data and method of operation
DK8601218A (en) * 1984-07-18 1986-03-17
US4627738A (en) * 1985-01-28 1986-12-09 Kao Chung Fu Watchcase and watchframe assembly
DE3509503A1 (en) 1985-03-16 1986-09-25 Hermann-Josef Dr. 5300 Bonn Frohn DEVICE FOR RECEIVING REGULATION
US5040541A (en) 1985-04-01 1991-08-20 Thermonetics Corporation Whole body calorimeter
US5012411A (en) 1985-07-23 1991-04-30 Charles J. Policastro Apparatus for monitoring, storing and transmitting detected physiological information
JPH067307Y2 (en) 1985-07-30 1994-02-23 日本精機株式会社 Multicolor display board
US5111818A (en) * 1985-10-08 1992-05-12 Capintec, Inc. Ambulatory physiological evaluation system including cardiac monitoring
US5007427A (en) 1987-05-07 1991-04-16 Capintec, Inc. Ambulatory physiological evaluation system including cardiac monitoring
US4819860A (en) 1986-01-09 1989-04-11 Lloyd D. Lillie Wrist-mounted vital functions monitor and emergency locator
US4757453A (en) 1986-03-25 1988-07-12 Nasiff Roger E Body activity monitor using piezoelectric transducers on arms and legs
US4828257A (en) 1986-05-20 1989-05-09 Powercise International Corporation Electronically controlled exercise system
US4672977A (en) * 1986-06-10 1987-06-16 Cherne Industries, Inc. Lung sound cancellation method and apparatus
US4803625A (en) 1986-06-30 1989-02-07 Buddy Systems, Inc. Personal health monitor
US4827943A (en) 1986-09-23 1989-05-09 Advanced Medical Technologies, Inc. Portable, multi-channel, physiological data monitoring system
US4784162A (en) 1986-09-23 1988-11-15 Advanced Medical Technologies Portable, multi-channel, physiological data monitoring system
US5072458A (en) 1987-05-07 1991-12-17 Capintec, Inc. Vest for use in an ambulatory physiological evaluation system including cardiac monitoring
US4883063A (en) 1987-05-29 1989-11-28 Electric Power Research Institute, Inc. Personal monitor and process for heat and work stress
GB8726933D0 (en) 1987-11-18 1987-12-23 Cadell T E Telemetry system
DE3802479A1 (en) 1988-01-28 1989-08-10 Uebe Thermometer Gmbh Method and device for determining the ovulation period of humans or animals by means of electric detection of the deviation in body temperature
US4966154A (en) 1988-02-04 1990-10-30 Jonni Cooper Multiple parameter monitoring system for hospital patients
US4917108A (en) 1988-06-29 1990-04-17 Mault James R Oxygen consumption meter
US5179958A (en) 1988-06-29 1993-01-19 Mault James R Respiratory calorimeter with bidirectional flow monitor
US5038792A (en) 1988-06-29 1991-08-13 Mault James R Oxygen consumption meter
US5178155A (en) 1988-06-29 1993-01-12 Mault James R Respiratory calorimeter with bidirectional flow monitors for calculating of oxygen consumption and carbon dioxide production
US6247647B1 (en) 1988-09-19 2001-06-19 Symbol Technologies, Inc. Scan pattern generator convertible between multiple and single line patterns
US4891756A (en) 1988-09-26 1990-01-02 Williams Iii William B Nutritional microcomputer and method
JPH02114009A (en) 1988-10-21 1990-04-26 Ohtsu Tire & Rubber Co Ltd :The Nonslip tool for tire
AU633871B2 (en) 1989-01-13 1993-02-11 Scott Fetzer Company, The Apparatus and method for controlling and monitoring the exercise session for remotely located patients
US5511553A (en) 1989-02-15 1996-04-30 Segalowitz; Jacob Device-system and method for monitoring multiple physiological parameters (MMPP) continuously and simultaneously
JPH0545285Y2 (en) * 1989-03-01 1993-11-18
US5050612A (en) 1989-09-12 1991-09-24 Matsumura Kenneth N Device for computer-assisted monitoring of the body
US5027824A (en) 1989-12-01 1991-07-02 Edmond Dougherty Method and apparatus for detecting, analyzing and recording cardiac rhythm disturbances
US5052375A (en) 1990-02-21 1991-10-01 John G. Stark Instrumented orthopedic restraining device and method of use
US5823975A (en) 1990-02-21 1998-10-20 Stark; John G. Local monitoring system for an instrumented orthopedic restraining device and method therefor
US5929782A (en) * 1990-02-21 1999-07-27 Stark; John G. Communication system for an instrumented orthopedic restraining device and method therefor
AU1257392A (en) 1991-01-11 1992-08-17 Health Innovations Inc. Method and apparatus to control diet and weight using human behavior modification techniques
US5319355A (en) 1991-03-06 1994-06-07 Russek Linda G Alarm for patient monitor and life support equipment system
US5148002A (en) 1991-03-14 1992-09-15 Kuo David D Multi-functional garment system
JP3053455B2 (en) 1991-05-17 2000-06-19 三菱電機株式会社 Comfort evaluation system and comfort evaluation / control system
US6605046B1 (en) * 1991-06-03 2003-08-12 Del Mar Medical Systems, Llc Ambulatory physio-kinetic monitor with envelope enclosure
US5224479A (en) 1991-06-21 1993-07-06 Topy Enterprises Limited ECG diagnostic pad
US5135311A (en) 1991-07-03 1992-08-04 University Of New Mexico Convective calorimeter apparatus and method
GB9117015D0 (en) * 1991-08-07 1991-09-18 Software Solutions Ltd Operation of computer systems
US5335664A (en) 1991-09-17 1994-08-09 Casio Computer Co., Ltd. Monitor system and biological signal transmitter therefor
US5476103A (en) 1991-10-10 1995-12-19 Neurocom International, Inc. Apparatus and method for assessment and biofeedback training of leg coordination and strength skills
US5353793A (en) 1991-11-25 1994-10-11 Oishi-Kogyo Company Sensor apparatus
FI95535C (en) 1991-12-09 1996-02-26 Polar Electro Oy Device for measuring heartbeat
JP3144030B2 (en) 1992-02-24 2001-03-07 東陶機器株式会社 Health management network system
FI92139C (en) 1992-02-28 1994-10-10 Matti Myllymaeki Monitoring device for the health condition, which is attached to the wrist
US5305244B2 (en) 1992-04-06 1997-09-23 Computer Products & Services I Hands-free user-supported portable computer
US5263491A (en) 1992-05-12 1993-11-23 William Thornton Ambulatory metabolic monitor
US5491651A (en) 1992-05-15 1996-02-13 Key, Idea Development Flexible wearable computer
US5285398A (en) 1992-05-15 1994-02-08 Mobila Technology Inc. Flexible wearable computer
IT1255065B (en) 1992-05-22 1995-10-17 Rotolo Giuseppe ELECTRODE POSITIONING DEVICE FOR ELECTROCARDIOGRAPHY
JPH067307A (en) * 1992-06-08 1994-01-18 Nippon Colin Co Ltd Bio-information monitor system and method therefor
AU673369B2 (en) 1992-06-22 1996-11-07 Health Risk Management, Inc. Health care management system
DK170548B1 (en) 1992-11-02 1995-10-23 Verner Rasmussen Garment for use in recording electrocardiographic measurements using a monitoring device
US5879163A (en) 1996-06-24 1999-03-09 Health Hero Network, Inc. On-line health education and feedback system using motivational driver profile coding and automated content fulfillment
US5933136A (en) 1996-12-23 1999-08-03 Health Hero Network, Inc. Network media access control system for encouraging patient compliance with a treatment plan
US5960403A (en) 1992-11-17 1999-09-28 Health Hero Network Health management process control system
US5832448A (en) 1996-10-16 1998-11-03 Health Hero Network Multiple patient monitoring system for proactive health management
US6968375B1 (en) 1997-03-28 2005-11-22 Health Hero Network, Inc. Networked system for interactive communication and remote monitoring of individuals
US6168563B1 (en) * 1992-11-17 2001-01-02 Health Hero Network, Inc. Remote health monitoring and maintenance system
US6101478A (en) 1997-04-30 2000-08-08 Health Hero Network Multi-user remote health monitoring system
US5913310A (en) 1994-05-23 1999-06-22 Health Hero Network, Inc. Method for diagnosis and treatment of psychological and emotional disorders using a microprocessor-based video game
US5951300A (en) 1997-03-10 1999-09-14 Health Hero Network Online system and method for providing composite entertainment and health information
US5897493A (en) 1997-03-28 1999-04-27 Health Hero Network, Inc. Monitoring system for remotely querying individuals
US5307263A (en) 1992-11-17 1994-04-26 Raya Systems, Inc. Modular microprocessor-based health monitoring system
US5899855A (en) 1992-11-17 1999-05-04 Health Hero Network, Inc. Modular microprocessor-based health monitoring system
US5956501A (en) 1997-01-10 1999-09-21 Health Hero Network, Inc. Disease simulation system and method
EP0602459B1 (en) 1992-12-16 1999-11-03 Siemens Medical Systems, Inc. System for monitoring patient location and data
JP3191031B2 (en) * 1993-03-17 2001-07-23 日本光電工業株式会社 Multi sensor
DK0617914T3 (en) 1993-03-31 1999-06-21 Siemens Medical Systems Inc Device and method for delivering dual output signals in a telemetry transmitter
US5888172A (en) 1993-04-26 1999-03-30 Brunswick Corporation Physical exercise video system
ES2070738B1 (en) 1993-04-29 1997-06-01 Portugal Conrado Martinez SYSTEM FOR THE DETECTION AND REMOTE NOTIFICATION BY RADIO FREQUENCY, OF A PREFIXED TEMPERATURE IN PEOPLE AND ANIMALS OF HOT BLOOD.
JPH06319723A (en) * 1993-05-13 1994-11-22 Omron Corp Motion monitor device
US5524618A (en) 1993-06-02 1996-06-11 Pottgen; Paul A. Method and apparatus for measuring heat flow
FI100941B (en) 1993-09-14 1998-03-31 Internat Business Innovations Health monitoring device attached to the body
US5724025A (en) 1993-10-21 1998-03-03 Tavori; Itzchak Portable vital signs monitor
US5523742A (en) 1993-11-18 1996-06-04 The United States Of America As Represented By The Secretary Of The Army Motion sensor
US5555490A (en) 1993-12-13 1996-09-10 Key Idea Development, L.L.C. Wearable personal computer system
US5660176A (en) 1993-12-29 1997-08-26 First Opinion Corporation Computerized medical diagnostic and treatment advice system
US5435315A (en) 1994-01-28 1995-07-25 Mcphee; Ron J. Physical fitness evalution system
US5704350A (en) 1994-03-25 1998-01-06 Nutritec Corporation Nutritional microcomputer and method
US5515865A (en) 1994-04-22 1996-05-14 The United States Of America As Represented By The Secretary Of The Army Sudden Infant Death Syndrome (SIDS) monitor and stimulator
AU2365695A (en) 1994-04-26 1995-11-16 Raya Systems, Inc. Modular microprocessor-based diagnostic measurement system for psychological conditions
DE4415896A1 (en) * 1994-05-05 1995-11-09 Boehringer Mannheim Gmbh Analysis system for monitoring the concentration of an analyte in the blood of a patient
US5652570A (en) 1994-05-19 1997-07-29 Lepkofker; Robert Individual location system
WO2004093025A1 (en) * 1994-06-28 2004-10-28 Tohru Oka Emergency call unit
IL110419A (en) 1994-07-24 1997-04-15 Slp Scient Lab Prod Ltd Compositions for disposable bio-medical electrodes
US5908027A (en) 1994-08-22 1999-06-01 Alaris Medical Systems, Inc. Tonometry system for monitoring blood pressure
US5566679A (en) 1994-08-31 1996-10-22 Omniglow Corporation Methods for managing the Reproductive status of an animal using color heat mount detectors
US5687734A (en) 1994-10-20 1997-11-18 Hewlett-Packard Company Flexible patient monitoring system featuring a multiport transmitter
US5827180A (en) 1994-11-07 1998-10-27 Lifemasters Supported Selfcare Method and apparatus for a personal health network
US5919141A (en) 1994-11-15 1999-07-06 Life Sensing Instrument Company, Inc. Vital sign remote monitoring device
WO2002093272A1 (en) 2000-12-15 2002-11-21 Phatrat Technology, Inc. Movement and event systems and associated methods related applications
US6539336B1 (en) 1996-12-12 2003-03-25 Phatrat Technologies, Inc. Sport monitoring system for determining airtime, speed, power absorbed and other factors such as drop distance
US5636146A (en) 1994-11-21 1997-06-03 Phatrat Technology, Inc. Apparatus and methods for determining loft time and speed
US6266623B1 (en) 1994-11-21 2001-07-24 Phatrat Technology, Inc. Sport monitoring apparatus for determining loft time, speed, power absorbed and other factors such as height
US5559497A (en) 1994-11-28 1996-09-24 Hong; Chia-Ping Body temperature sensing and alarming device
US5697791A (en) 1994-11-29 1997-12-16 Nashner; Lewis M. Apparatus and method for assessment and biofeedback training of body coordination skills critical and ball-strike power and accuracy during athletic activitites
US5673692A (en) 1995-02-03 1997-10-07 Biosignals Ltd. Co. Single site, multi-variable patient monitor
US5778882A (en) 1995-02-24 1998-07-14 Brigham And Women's Hospital Health monitoring system
US5959611A (en) 1995-03-06 1999-09-28 Carnegie Mellon University Portable computer system with ergonomic input device
US5617477A (en) 1995-03-08 1997-04-01 Interval Research Corporation Personal wearable communication system with enhanced low frequency response
US5645068A (en) 1995-03-20 1997-07-08 Bioscan, Inc. Methods and apparatus for ambulatory and non-ambulatory monitoring of physiological data using digital flash storage
AUPN236595A0 (en) 1995-04-11 1995-05-11 Rescare Limited Monitoring of apneic arousals
US5832296A (en) 1995-04-26 1998-11-03 Interval Research Corp. Wearable context sensitive user interface for interacting with plurality of electronic devices of interest to the user
US5730140A (en) * 1995-04-28 1998-03-24 Fitch; William Tecumseh S. Sonification system using synthesized realistic body sounds modified by other medically-important variables for physiological monitoring
EP1433417B1 (en) 1995-05-12 2007-12-05 Seiko Epson Corporation Device for controlling a physiological state
US5581238A (en) 1995-05-12 1996-12-03 Chang; Mei-Hui Pacifier with fever heat alarm device
US5666096A (en) 1995-06-02 1997-09-09 Van Zeeland; Anthony J. Switch with magnetically-coupled armature
US5990772A (en) 1995-06-02 1999-11-23 Duraswitch Industries, Inc. Pushbutton switch with magnetically coupled armature
US5523730C1 (en) 1995-06-02 2002-01-15 Van Anthony J Zeeland Switch with mangnetically-coupled armature
JPH0956705A (en) 1995-06-15 1997-03-04 Matsushita Electric Works Ltd Consumption calorimeter
US5752976A (en) 1995-06-23 1998-05-19 Medtronic, Inc. World wide patient location and data telemetry system for implantable medical devices
US5663703A (en) 1995-07-12 1997-09-02 Sony Corporation Silent wrist pager with tactile alarm
US6001065A (en) 1995-08-02 1999-12-14 Ibva Technologies, Inc. Method and apparatus for measuring and analyzing physiological signals for active or passive control of physical and virtual spaces and the contents therein
US5942986A (en) 1995-08-09 1999-08-24 Cedars-Sinai Medical Center System and method for automatic critical event notification
JPH0866374A (en) * 1995-10-03 1996-03-12 Terumo Corp Temperature measurement instrument with pulse measurement function
US5720770A (en) * 1995-10-06 1998-02-24 Pacesetter, Inc. Cardiac stimulation system with enhanced communication and control capability
JPH09114955A (en) 1995-10-18 1997-05-02 Seiko Epson Corp Pitch meter
US5738104A (en) * 1995-11-08 1998-04-14 Salutron, Inc. EKG based heart rate monitor
US5701894A (en) 1995-11-09 1997-12-30 Del Mar Avionics Modular physiological computer-recorder
US5803915A (en) 1995-12-07 1998-09-08 Ohmeda Inc. System for detection of probe dislodgement
US6059692A (en) * 1996-12-13 2000-05-09 Hickman; Paul L. Apparatus for remote interactive exercise and health equipment
WO1997022295A1 (en) 1995-12-18 1997-06-26 Seiko Epson Corporation Health care device and exercise supporting device
US20010044588A1 (en) 1996-02-22 2001-11-22 Mault James R. Monitoring system
US5836300A (en) 1996-03-11 1998-11-17 Mault; James R. Metabolic gas exchange and noninvasive cardiac output monitor
US6135107A (en) 1996-03-11 2000-10-24 Mault; James R. Metabolic gas exchange and noninvasive cardiac output monitor
US6208900B1 (en) * 1996-03-28 2001-03-27 Medtronic, Inc. Method and apparatus for rate-responsive cardiac pacing using header mounted pressure wave transducer
US5853005A (en) 1996-05-02 1998-12-29 The United States Of America As Represented By The Secretary Of The Army Acoustic monitoring system
DE69735030T2 (en) 1996-06-12 2006-07-13 Seiko Epson Corp. A calorie expenditure
DE69729202T2 (en) 1996-07-02 2005-05-04 Graber Products, Inc., Madison ELECTRONIC EXERCISE SYSTEM
US6265978B1 (en) * 1996-07-14 2001-07-24 Atlas Researches, Ltd. Method and apparatus for monitoring states of consciousness, drowsiness, distress, and performance
US5741217A (en) 1996-07-30 1998-04-21 Gero; Jeffrey Biofeedback apparatus
US5989157A (en) 1996-08-06 1999-11-23 Walton; Charles A. Exercising system with electronic inertial game playing
US5719743A (en) 1996-08-15 1998-02-17 Xybernaut Corporation Torso worn computer which can stand alone
US5884198A (en) 1996-08-16 1999-03-16 Ericsson, Inc. Body conformal portable radio and method of constructing the same
JPH10118052A (en) 1996-10-22 1998-05-12 Kowa Boseki Kk Navigator for maintenance of health and palmus monitor
US6364834B1 (en) * 1996-11-13 2002-04-02 Criticare Systems, Inc. Method and system for remotely monitoring multiple medical parameters in an integrated medical monitoring system
US5855550A (en) 1996-11-13 1999-01-05 Lai; Joseph Method and system for remotely monitoring multiple medical parameters
US5771001A (en) 1996-11-18 1998-06-23 Cobb; Marlon J. Personal alarm system
US5726631A (en) 1996-11-26 1998-03-10 Lin; Wen-Juei Structure kick-activated wearable alarm for infants
US6198394B1 (en) * 1996-12-05 2001-03-06 Stephen C. Jacobsen System for remote monitoring of personnel
US6050950A (en) * 1996-12-18 2000-04-18 Aurora Holdings, Llc Passive/non-invasive systemic and pulmonary blood pressure measurement
US6298218B1 (en) 1996-12-18 2001-10-02 Clubcom, Inc. Combined advertising and entertainment system network
US6151586A (en) 1996-12-23 2000-11-21 Health Hero Network, Inc. Computerized reward system for encouraging participation in a health management program
US6032119A (en) * 1997-01-16 2000-02-29 Health Hero Network, Inc. Personalized display of health information
US5868671A (en) 1997-01-28 1999-02-09 Hewlett-Packard Company Multiple ECG electrode strip
GB2322952A (en) 1997-02-05 1998-09-09 Gakken Combined baby monitor and audio-visual device
US5865733A (en) 1997-02-28 1999-02-02 Spacelabs Medical, Inc. Wireless optical patient monitoring apparatus
US6148233A (en) * 1997-03-07 2000-11-14 Cardiac Science, Inc. Defibrillation system having segmented electrodes
US5959529A (en) 1997-03-07 1999-09-28 Kail, Iv; Karl A. Reprogrammable remote sensor monitoring system
EP0969897B1 (en) * 1997-03-17 2010-08-18 Adidas AG Physiologic signs feedback system
US6270455B1 (en) 1997-03-28 2001-08-07 Health Hero Network, Inc. Networked system for interactive communications and remote monitoring of drug delivery
US5944661A (en) * 1997-04-16 1999-08-31 Giner, Inc. Potential and diffusion controlled solid electrolyte sensor for continuous measurement of very low levels of transdermal alcohol
JPH10295651A (en) 1997-04-28 1998-11-10 N T T Data:Kk System of health care and portable terminal unit
US6248065B1 (en) 1997-04-30 2001-06-19 Health Hero Network, Inc. Monitoring system for remotely querying individuals
EP0978080A1 (en) 1997-05-02 2000-02-09 Cyberhealth, Inc. Cyber medicine disease management
JPH10305016A (en) 1997-05-08 1998-11-17 Casio Comput Co Ltd Behavior information providing system
JPH10305072A (en) 1997-05-09 1998-11-17 Yoshihiro Toyama Bath timer with calory consumption computing function
TW357517B (en) 1997-05-29 1999-05-01 Koji Akai Monitoring system
US5857939A (en) * 1997-06-05 1999-01-12 Talking Counter, Inc. Exercise device with audible electronic monitor
US6251048B1 (en) 1997-06-05 2001-06-26 Epm Develoment Systems Corporation Electronic exercise monitor
JPH114820A (en) 1997-06-18 1999-01-12 Ee D K:Kk Health caring device
US5857967A (en) 1997-07-09 1999-01-12 Hewlett-Packard Company Universally accessible healthcare devices with on the fly generation of HTML files
US5976083A (en) 1997-07-30 1999-11-02 Living Systems, Inc. Portable aerobic fitness monitor for walking and running
US5813766A (en) 1997-08-12 1998-09-29 Chen; Mei-Yen Finger temperature indicating ring
US6138079A (en) 1997-08-18 2000-10-24 Putnam; John M. Device for calculating fluid loss from a body during exercise
US5839901A (en) 1997-10-01 1998-11-24 Karkanen; Kip M. Integrated weight loss control method
US5931791A (en) 1997-11-05 1999-08-03 Instromedix, Inc. Medical patient vital signs-monitoring apparatus
US6856832B1 (en) * 1997-12-25 2005-02-15 Nihon Kohden Corporation Biological signal detection apparatus Holter electrocardiograph and communication system of biological signals
IL122875A0 (en) 1998-01-08 1998-08-16 S L P Ltd An integrated sleep apnea screening system
US6225980B1 (en) * 1998-02-06 2001-05-01 Carnegie Mellon University Multi-functional, rotary dial input device for portable computers
US6101407A (en) 1998-02-13 2000-08-08 Eastman Kodak Company Method and system for remotely viewing and configuring output from a medical imaging device
IL132659A (en) 1998-03-03 2010-12-30 Card Guard Scient Survival Ltd Personal ambulatory cellular health monitor for mobile patient
US6366871B1 (en) * 1999-03-03 2002-04-02 Card Guard Scientific Survival Ltd. Personal ambulatory cellular health monitor for mobile patient
US7222054B2 (en) 1998-03-03 2007-05-22 Card Guard Scientific Survival Ltd. Personal ambulatory wireless health monitor
US6013007A (en) * 1998-03-26 2000-01-11 Liquid Spark, Llc Athlete's GPS-based performance monitor
US6579231B1 (en) 1998-03-27 2003-06-17 Mci Communications Corporation Personal medical monitoring unit and system
AU4094599A (en) 1998-05-21 1999-12-06 Telecom Medical, Inc. Patient monitoring apparatus
IL124900A0 (en) * 1998-06-14 1999-01-26 Tapuz Med Tech Ltd Apron for performing ecg tests and additional examinations
US7854684B1 (en) * 1998-06-24 2010-12-21 Samsung Electronics Co., Ltd. Wearable device
US6190314B1 (en) 1998-07-15 2001-02-20 International Business Machines Corporation Computer input device with biosensors for sensing user emotions
DE19832361A1 (en) 1998-07-20 2000-02-03 Noehte Steffen Body function monitor measures bodily conditions, determines environmental stresses, pauses and computes probabilities, before pronouncing on criticality with high confidence level
US6154668A (en) 1998-08-06 2000-11-28 Medtronics Inc. Ambulatory recorder having a real time and non-real time processors
US6240323B1 (en) * 1998-08-11 2001-05-29 Conmed Corporation Perforated size adjustable biomedical electrode
US6558320B1 (en) 2000-01-20 2003-05-06 Medtronic Minimed, Inc. Handheld personal data assistant (PDA) with a medical device and method of using the same
US6420959B1 (en) 1998-09-18 2002-07-16 Timex Group B.V. Multi-level user interface for a multimode device
US6306088B1 (en) 1998-10-03 2001-10-23 Individual Monitoring Systems, Inc. Ambulatory distributed recorders system for diagnosing medical disorders
US5912865A (en) 1998-10-19 1999-06-15 U.S.A. Technologies Inc. Watch case with positioning means
WO2000026882A2 (en) 1998-10-30 2000-05-11 Strategic Product Development Monitoring physical and environmental conditions of a person
US6377162B1 (en) * 1998-11-25 2002-04-23 Ge Medical Systems Global Technology Company, Llc Medical diagnostic field service method and apparatus
US7073129B1 (en) 1998-12-18 2006-07-04 Tangis Corporation Automated selection of appropriate information based on a computer user's context
US6466232B1 (en) 1998-12-18 2002-10-15 Tangis Corporation Method and system for controlling presentation of information to a user based on the user's condition
US6842877B2 (en) * 1998-12-18 2005-01-11 Tangis Corporation Contextual responses based on automated learning techniques
US6307384B2 (en) 1999-01-07 2001-10-23 Honeywell International Inc. Micropower capacitance-based proximity sensor
WO2000047108A1 (en) 1999-02-08 2000-08-17 Medoc Ltd. Ambulatory monitor
JP4046883B2 (en) 1999-02-09 2008-02-13 株式会社タニタ Body fat scale and health management system
IL128815A0 (en) 1999-03-03 2000-01-31 S L P Ltd A nocturnal muscle activity monitoring system
WO2000052604A1 (en) 1999-03-05 2000-09-08 Stayhealty. Com System and method for on-line health monitoring and education
US6454707B1 (en) 1999-03-08 2002-09-24 Samuel W. Casscells, III Method and apparatus for predicting mortality in congestive heart failure patients
DE19911766A1 (en) 1999-03-16 2000-09-28 Fidelak Michael Method to measure sports medicine and sports specific parameters, e.g. speed, distance, position, pulse or ECG; involves using GPS antenna, sensors for body parameters and evaluation unit
US6302844B1 (en) 1999-03-31 2001-10-16 Walker Digital, Llc Patient care delivery system
US6285897B1 (en) 1999-04-07 2001-09-04 Endonetics, Inc. Remote physiological monitoring system
US6336900B1 (en) * 1999-04-12 2002-01-08 Agilent Technologies, Inc. Home hub for reporting patient health parameters
US6454708B1 (en) 1999-04-15 2002-09-24 Nexan Limited Portable remote patient telemonitoring system using a memory card or smart card
US6450953B1 (en) 1999-04-15 2002-09-17 Nexan Limited Portable signal transfer unit
US6494829B1 (en) * 1999-04-15 2002-12-17 Nexan Limited Physiological sensor array
US6385473B1 (en) 1999-04-15 2002-05-07 Nexan Limited Physiological sensor device
US6416471B1 (en) 1999-04-15 2002-07-09 Nexan Limited Portable remote patient telemonitoring system
US6755783B2 (en) 1999-04-16 2004-06-29 Cardiocom Apparatus and method for two-way communication in a device for monitoring and communicating wellness parameters of ambulatory patients
US6290646B1 (en) 1999-04-16 2001-09-18 Cardiocom Apparatus and method for monitoring and communicating wellness parameters of ambulatory patients
US6069552A (en) * 1999-06-02 2000-05-30 Duraswitch Industries, Inc. Directionally sensitive switch
US6312612B1 (en) 1999-06-09 2001-11-06 The Procter & Gamble Company Apparatus and method for manufacturing an intracutaneous microneedle array
US6371123B1 (en) * 1999-06-11 2002-04-16 Izex Technology, Inc. System for orthopedic treatment protocol and method of use thereof
WO2001001093A1 (en) * 1999-06-23 2001-01-04 Eliahu Rubinstein Fever alarm system
DE19929328A1 (en) * 1999-06-26 2001-01-04 Daimlerchrysler Aerospace Ag Device for long-term medical monitoring of people
US6287252B1 (en) 1999-06-30 2001-09-11 Monitrak Patient monitor
US6312363B1 (en) 1999-07-08 2001-11-06 Icon Health & Fitness, Inc. Systems and methods for providing an improved exercise device with motivational programming
CA2376011C (en) 1999-07-21 2010-01-19 Daniel David Physiological measuring system comprising a garment in the form of a sleeve or glove and sensing apparatus incorporated in the garment
US6468222B1 (en) 1999-08-02 2002-10-22 Healthetech, Inc. Metabolic calorimeter employing respiratory gas analysis
AU6515000A (en) 1999-08-02 2001-02-19 Healthetech, Inc. Metabolic calorimeter employing respiratory gas analysis
US6147618A (en) * 1999-09-15 2000-11-14 Ilife Systems, Inc. Apparatus and method for reducing power consumption in physiological condition monitors
US6339720B1 (en) * 1999-09-20 2002-01-15 Fernando Anzellini Early warning apparatus for acute Myocardial Infarction in the first six hours of pain
EP1217942A1 (en) 1999-09-24 2002-07-03 Healthetech, Inc. Physiological monitor and associated computation, display and communication unit
US20020062069A1 (en) 1999-10-08 2002-05-23 Mault James R. System and method of integrated calorie management using interactive television
US6478736B1 (en) 1999-10-08 2002-11-12 Healthetech, Inc. Integrated calorie management system
AU8007600A (en) 1999-10-08 2001-04-23 Healthetech, Inc. Monitoring caloric expenditure rate and caloric diet
US6612306B1 (en) 1999-10-13 2003-09-02 Healthetech, Inc. Respiratory nitric oxide meter
US6527711B1 (en) * 1999-10-18 2003-03-04 Bodymedia, Inc. Wearable human physiological data sensors and reporting system therefor
FI114282B (en) * 1999-11-05 2004-09-30 Polar Electro Oy Method, Arrangement and Heart Rate Monitor for Heartbeat Detection
JP2003534581A (en) 1999-11-24 2003-11-18 ヘルセテック インコーポレイテッド Health management system with connection to remote computer system
JP3356745B2 (en) 1999-12-07 2002-12-16 ヤーマン株式会社 Calorie calculator
US7454002B1 (en) 2000-01-03 2008-11-18 Sportbrain, Inc. Integrating personal data capturing functionality into a portable computing device and a wireless communication device
US6611783B2 (en) 2000-01-07 2003-08-26 Nocwatch, Inc. Attitude indicator and activity monitoring device
US7676384B2 (en) 2000-01-18 2010-03-09 Medigenesis, Inc. System and method for the automated presentation of system data to, and interaction with, a computer maintained database
US6513532B2 (en) 2000-01-19 2003-02-04 Healthetech, Inc. Diet and activity-monitoring device
US6629934B2 (en) 2000-02-02 2003-10-07 Healthetech, Inc. Indirect calorimeter for medical applications
US6551251B2 (en) * 2000-02-14 2003-04-22 The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration Passive fetal heart monitoring system
JP3846844B2 (en) 2000-03-14 2006-11-15 株式会社東芝 Body-mounted life support device
US6305071B1 (en) 2000-03-30 2001-10-23 Duraswitch Industries, Inc. Method for converting a flat panel switch
US6610012B2 (en) * 2000-04-10 2003-08-26 Healthetech, Inc. System and method for remote pregnancy monitoring
EP2324761A3 (en) * 2000-04-17 2014-06-18 Adidas AG Systems and methods for ambulatory monitoring of physiological signals
US6616613B1 (en) 2000-04-27 2003-09-09 Vitalsines International, Inc. Physiological signal monitoring system
CA2406841A1 (en) 2000-04-28 2001-11-08 Healthetech, Inc. Method and apparatus for diet control
JP2003531663A (en) 2000-05-04 2003-10-28 ヘルセテック インコーポレイテッド Interactive physiological monitoring system
US6514200B1 (en) 2000-05-17 2003-02-04 Brava, Llc Patient compliance monitor
US6482158B2 (en) 2000-05-19 2002-11-19 Healthetech, Inc. System and method of ultrasonic mammography
US6712615B2 (en) * 2000-05-22 2004-03-30 Rolf John Martin High-precision cognitive performance test battery suitable for internet and non-internet use
US20030226695A1 (en) 2000-05-25 2003-12-11 Mault James R. Weight control method using physical activity based parameters
JP2003533318A (en) 2000-05-25 2003-11-11 ヘルセテック インコーポレイテッド Physiological monitoring using wrist-mounted devices
US7485095B2 (en) 2000-05-30 2009-02-03 Vladimir Shusterman Measurement and analysis of trends in physiological and/or health data
JP2001344352A (en) * 2000-05-31 2001-12-14 Toshiba Corp Life assisting device, life assisting method and advertisement information providing method
US20060122474A1 (en) 2000-06-16 2006-06-08 Bodymedia, Inc. Apparatus for monitoring health, wellness and fitness
US7689437B1 (en) * 2000-06-16 2010-03-30 Bodymedia, Inc. System for monitoring health, wellness and fitness
US6605038B1 (en) 2000-06-16 2003-08-12 Bodymedia, Inc. System for monitoring health, wellness and fitness
ES2260245T3 (en) * 2000-06-23 2006-11-01 Bodymedia, Inc. SYSTEM TO CONTROL HEALTH, WELFARE AND EXERCISE.
US6690959B2 (en) * 2000-09-01 2004-02-10 Medtronic, Inc. Skin-mounted electrodes with nano spikes
AU2001288902A1 (en) * 2000-09-07 2002-03-22 Healthetech, Inc. Portable computing apparatus particularly useful in a weight management program
US6773405B2 (en) 2000-09-15 2004-08-10 Jacob Fraden Ear temperature monitor and method of temperature measurement
JP2002095637A (en) 2000-09-26 2002-04-02 Kireicom:Kk Portable terminal and electronic device
US6665559B2 (en) 2000-10-06 2003-12-16 Ge Medical Systems Information Technologies, Inc. Method and apparatus for perioperative assessment of cardiovascular risk
US20020133378A1 (en) 2000-10-13 2002-09-19 Mault James R. System and method of integrated calorie management
US6904408B1 (en) 2000-10-19 2005-06-07 Mccarthy John Bionet method, system and personalized web content manager responsive to browser viewers' psychological preferences, behavioral responses and physiological stress indicators
US20020055857A1 (en) 2000-10-31 2002-05-09 Mault James R. Method of assisting individuals in lifestyle control programs conducive to good health
US7171331B2 (en) * 2001-12-17 2007-01-30 Phatrat Technology, Llc Shoes employing monitoring devices, and associated methods
US20020169634A1 (en) 2000-12-26 2002-11-14 Kenzo Nishi Healthcare system, healthcare apparatus, server and healthcare method
US6392515B1 (en) 2000-12-27 2002-05-21 Duraswitch Industries, Inc. Magnetic switch with multi-wide actuator
ITBS20010001A1 (en) * 2001-01-11 2002-07-11 Beretta Armi Spa SAFETY DEVICE FOR PISTOLS
US6532381B2 (en) * 2001-01-11 2003-03-11 Ge Medical Systems Information Technologies, Inc. Patient monitor for determining a probability that a patient has acute cardiac ischemia
JP2002224065A (en) * 2001-02-07 2002-08-13 Nippon Colin Co Ltd Cardiac sound detecting device and cardiac sound detecting method
JP3927495B2 (en) * 2001-02-08 2007-06-06 ミニ−ミッター カンパニー,インコーポレイテッド Skin patch with built-in temperature sensor
AU2002255568B8 (en) 2001-02-20 2014-01-09 Adidas Ag Modular personal network systems and methods
US6584344B2 (en) 2001-02-22 2003-06-24 Polar Electro Oy Method and apparatus for measuring heart rate
US6834436B2 (en) 2001-02-23 2004-12-28 Microstrain, Inc. Posture and body movement measuring system
AUPR343401A0 (en) 2001-02-28 2001-03-29 Nguyen, Hung Modelling and design for early warning systems using physiological responses
US6611206B2 (en) 2001-03-15 2003-08-26 Koninklijke Philips Electronics N.V. Automatic system for monitoring independent person requiring occasional assistance
US6808473B2 (en) 2001-04-19 2004-10-26 Omron Corporation Exercise promotion device, and exercise promotion method employing the same
US6635015B2 (en) 2001-04-20 2003-10-21 The Procter & Gamble Company Body weight management system
MXPA03010059A (en) * 2001-05-03 2004-12-06 Telzuit Technologies Llc Wireless medical monitoring apparatus and system.
US6533731B2 (en) * 2001-05-15 2003-03-18 Lifecheck, Llc Method and apparatus for measuring heat flow
US6656125B2 (en) 2001-06-01 2003-12-02 Dale Julian Misczynski System and process for analyzing a medical condition of a user
KR200244874Y1 (en) 2001-06-01 2001-11-16 이종길 Portable diet monitoring apparatus
GB2377164B (en) * 2001-07-06 2004-12-01 Black & Decker Inc Airflow modification in vacuum cleaners
US20030208113A1 (en) 2001-07-18 2003-11-06 Mault James R Closed loop glycemic index system
WO2003013335A2 (en) 2001-08-03 2003-02-20 Vega Research Lab, Llc Method and apparatus for determining metabolic factors from an electrocardiogram
US20030069510A1 (en) * 2001-10-04 2003-04-10 Semler Herbert J. Disposable vital signs monitor
US6755795B2 (en) * 2001-10-26 2004-06-29 Koninklijke Philips Electronics N.V. Selectively applied wearable medical sensors
US20030083559A1 (en) * 2001-10-31 2003-05-01 Thompson David L. Non-contact monitor
US20050101841A9 (en) 2001-12-04 2005-05-12 Kimberly-Clark Worldwide, Inc. Healthcare networks with biosensors
US20030149349A1 (en) 2001-12-18 2003-08-07 Jensen Thomas P. Integral patch type electronic physiological sensor
US20030152607A1 (en) 2002-02-13 2003-08-14 Mault James R. Caloric management system and method with voice recognition
US20030176797A1 (en) 2002-03-12 2003-09-18 Fernando Anzellini Thrombust; implantable delivery system sensible to self diagnosis of acute myocardial infarction for thrombolysis in the first minutes of chest pain
US20050226310A1 (en) 2002-03-20 2005-10-13 Sanyo Electric Co., Ltd. Adhesive clinical thermometer pad and temperature measuring pad
US6817979B2 (en) 2002-06-28 2004-11-16 Nokia Corporation System and method for interacting with a user's virtual physiological model via a mobile terminal
US20040010207A1 (en) * 2002-07-15 2004-01-15 Flaherty J. Christopher Self-contained, automatic transcutaneous physiologic sensing system
US7020508B2 (en) 2002-08-22 2006-03-28 Bodymedia, Inc. Apparatus for detecting human physiological and contextual information
MXPA05003688A (en) 2002-10-09 2005-09-30 Bodymedia Inc Method and apparatus for auto journaling of continuous or discrete body states utilizing physiological and/or contextual parameters.
GB2394294A (en) * 2002-10-18 2004-04-21 Cambridge Neurotechnology Ltd Cardiac sensor with accelerometer
WO2005018432A2 (en) * 2003-08-20 2005-03-03 Philometron, Inc. Hydration monitoring
US20070293781A1 (en) 2003-11-04 2007-12-20 Nathaniel Sims Respiration Motion Detection and Health State Assesment System
TWI312674B (en) * 2006-11-08 2009-08-01 Ind Tech Res Inst A bio-monitoring apparatus
EP2200499B1 (en) * 2007-09-14 2019-05-01 Medtronic Monitoring, Inc. Multi-sensor patient monitor to detect impending cardiac decompensation

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5957854A (en) * 1993-09-04 1999-09-28 Besson; Marcus Wireless medical diagnosis and monitoring equipment
US5902250A (en) * 1997-03-31 1999-05-11 President And Fellows Of Harvard College Home-based system and method for monitoring sleep state and assessing cardiorespiratory risk
US6117077A (en) * 1999-01-22 2000-09-12 Del Mar Medical Systems, Llc Long-term, ambulatory physiological recorder
US20020019586A1 (en) * 2000-06-16 2002-02-14 Eric Teller Apparatus for monitoring health, wellness and fitness
US6597231B2 (en) * 2000-07-27 2003-07-22 Murata Manufacturing Co., Ltd. Semiconductor switching circuit and semiconductor device using same
US20020183646A1 (en) * 2001-03-30 2002-12-05 Stivoric John M. System for monitoring health, wellness and fitness having a method and apparatus for improved measurement of heat flow
US20030088196A1 (en) * 2001-11-02 2003-05-08 Epm Development Systems Corporation Customized physiological monitor

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190008216A1 (en) * 2011-11-28 2019-01-10 Roka Sports, Inc. Swimwear design and construction
US10806192B2 (en) * 2011-11-28 2020-10-20 Roka Sports, Inc Swimwear design and construction
US10617306B2 (en) 2012-11-01 2020-04-14 Blue Spark Technologies, Inc. Body temperature logging patch
US9782082B2 (en) 2012-11-01 2017-10-10 Blue Spark Technologies, Inc. Body temperature logging patch
US10314492B2 (en) 2013-05-23 2019-06-11 Medibotics Llc Wearable spectroscopic sensor to measure food consumption based on interaction between light and the human body
US10234934B2 (en) 2013-09-17 2019-03-19 Medibotics Llc Sensor array spanning multiple radial quadrants to measure body joint movement
US10716510B2 (en) 2013-09-17 2020-07-21 Medibotics Smart clothing with converging/diverging bend or stretch sensors for measuring body motion or configuration
US10321873B2 (en) 2013-09-17 2019-06-18 Medibotics Llc Smart clothing for ambulatory human motion capture
US9582072B2 (en) 2013-09-17 2017-02-28 Medibotics Llc Motion recognition clothing [TM] with flexible electromagnetic, light, or sonic energy pathways
US10602965B2 (en) 2013-09-17 2020-03-31 Medibotics Wearable deformable conductive sensors for human motion capture including trans-joint pitch, yaw, and roll
US10130277B2 (en) 2014-01-28 2018-11-20 Medibotics Llc Willpower glasses (TM)—a wearable food consumption monitor
US10429888B2 (en) 2014-02-25 2019-10-01 Medibotics Llc Wearable computer display devices for the forearm, wrist, and/or hand
US9582035B2 (en) 2014-02-25 2017-02-28 Medibotics Llc Wearable computing devices and methods for the wrist and/or forearm
US10466808B2 (en) 2015-12-07 2019-11-05 Samsung Elecronics Co., Ltd Flexible electronic device and method of operating same
WO2017099428A1 (en) * 2015-12-07 2017-06-15 Samsung Electronics Co., Ltd. Flexible electronic device and method of operating same
US10792551B2 (en) 2016-12-15 2020-10-06 Robbie Green, JR. Space saving device
US10699247B2 (en) 2017-05-16 2020-06-30 Under Armour, Inc. Systems and methods for providing health task notifications
US11363992B2 (en) * 2017-12-04 2022-06-21 Advancing Technologies, Llc Wearable device utilizing flexible electronics
US20230009588A1 (en) * 2017-12-04 2023-01-12 Advancing Technologies, Llc Wearable device utilizing flexible electronics
US11832971B2 (en) * 2017-12-04 2023-12-05 Advancing Technologies, Llc Wearable device utilizing flexible electronics

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