US20050283205A1 - Apparatus, method, and medium controlling electrical stimulation and/or health training/monitoring - Google Patents

Apparatus, method, and medium controlling electrical stimulation and/or health training/monitoring Download PDF

Info

Publication number
US20050283205A1
US20050283205A1 US11/148,434 US14843405A US2005283205A1 US 20050283205 A1 US20050283205 A1 US 20050283205A1 US 14843405 A US14843405 A US 14843405A US 2005283205 A1 US2005283205 A1 US 2005283205A1
Authority
US
United States
Prior art keywords
electrical stimulation
signal
physical activity
electromyogram
fatigue
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US11/148,434
Inventor
Jeong-hwan Lee
Kun-soo Shin
Wan-taek Han
Hyung-Sok Yeo
Jin-sang Whang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Samsung Electronics Co Ltd
Original Assignee
Samsung Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Samsung Electronics Co Ltd filed Critical Samsung Electronics Co Ltd
Assigned to SAMSUNG ELECTRONICS CO., LTD. reassignment SAMSUNG ELECTRONICS CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: HAN, WAN-TAEK, LEE, JEONG-HWAN, SHIN, KON-SOO, WHANG, JIN-SANG, YEO, HYUNG-SOK
Publication of US20050283205A1 publication Critical patent/US20050283205A1/en
Priority to US12/379,935 priority Critical patent/US8620439B2/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/36014External stimulators, e.g. with patch electrodes
    • A61N1/3603Control systems
    • A61N1/36031Control systems using physiological parameters for adjustment
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/389Electromyography [EMG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024Detecting, measuring or recording pulse rate or heart rate
    • A61B5/0245Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61NELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00Electrotherapy; Circuits therefor
    • A61N1/18Applying electric currents by contact electrodes
    • A61N1/32Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/36003Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of motor muscles, e.g. for walking assistance
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2213/00Exercising combined with therapy
    • A63B2213/004Exercising combined with therapy with electrotherapy
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B2230/00Measuring physiological parameters of the user
    • A63B2230/04Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations
    • A63B2230/06Measuring physiological parameters of the user heartbeat characteristics, e.g. ECG, blood pressure modulations heartbeat rate only

Definitions

  • the present invention relates to a medical aid, and more particularly, to an apparatus, method, and medium controlling electrical stimulation using an electromyographic signal and/or health training/monitoring with the same.
  • Embodiments of the present invention provide apparatuses, methods, and media controlling electrical stimulation to a degree that the electrical stimulation does not aggravate fatigued muscles by calculating a degree of muscle fatigue by measuring a level of electromyogram (EMG) before and after muscle exercises.
  • EMG electromyogram
  • Embodiments of the present invention also provides health training/monitoring apparatuses, methods, and media with such electrical stimulation, in which electrical stimulation may be controlled based on muscle fatigue, the degree of muscle fatigue can be monitored, information regarding physical activity and walking patterns can be monitored by measuring a heart rate and acceleration, while a user is performing aerobic exercises, such as running, jogging, walking, or stepping, and calories expended may be calculated.
  • embodiments of the present invention set forth an electrical stimulation apparatus using an electromyographic measurement, including an electromyogram detector detecting an electromyographic signal from a body, a fatigue index calculator calculating a fatigue index indicating a degree of muscle fatigue, for at least a muscle of the body, by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and an electrical stimulation signal generator adjusting an electrical stimulation signal, for application to the body, based on the calculated fatigue index and generating the electrical stimulation signal.
  • the electromyogram detector may include an electromyogram detection electrode.
  • the fatigue index calculator may include an initial median frequency output unit to measure an electromyogram at an initial point, of the predetermined time unit, to convert the measured initial point electromyogram into an initial frequency-domain electromyogram, and to output an initial median frequency, a final median frequency output unit to measure an electromyogram at a final point, of the predetermined time unit, to convert the measured final point electromyogram into a final frequency-domain electromyogram, and to output a final median frequency, and a fatigue index output unit to determine the fatigue index based on a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
  • the electrical stimulation signal generator may adjust the electrical stimulation signal by changing a size, a cycle, and/or a pattern of the electrical stimulation signal.
  • embodiments of the present invention set forth a method of generating electrical stimulation using an electromyographic signal, including detecting an electromyographic signal from a body using a predetermined medium for detecting an electromyogram, calculating a fatigue index indicating a degree of muscle fatigue, for a muscle of the body, by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and adjusting an electrical stimulation signal according to the calculated fatigue index and generating the adjusted electrical stimulation signal.
  • the calculating of the fatigue index may include measuring an initial electromyogram signal at an initial point, of the predetermined time unit, converting the measured initial point electromyogram signal into an initial frequency-domain electromyogram signal, and outputting an initial median frequency, measuring a final electromyogram signal at a final point, of the predetermined time unit, converting the measured final point electromyogram signal into a final frequency-domain electromyogram signal, and outputting a final median frequency, and determining the fatigue index based on a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
  • the electrical stimulation signal may be adjusted by changing a size, a cycle, and/or a pattern of the electrical stimulation signal.
  • embodiments of the present invention set forth a health training/monitoring apparatus, including an electrical stimulation generator to adjust an electrical stimulation signal based on a degree of fatigue, of a muscle of a body, and generating the adjusted electrical stimulation signal, a physical activity monitor to monitor a physical activity of a user using at least one of a heart rate measurer and an accelerometer for the body, and a mode selector selectively driving the electrical stimulation generator or the physical activity monitor based on an amount of the monitored physical activity.
  • the electrical stimulation generator may include an electromyogram detector to detect an electromyographic signal of the body, a fatigue index calculator to calculate a fatigue index indicating the degree of fatigue by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and an electrical stimulation signal generator to adjust the electrical stimulation signal based on the calculated fatigue index and to generate the adjusted electrical stimulation signal.
  • the physical activity monitor may include the heart rate measurer to measure a heart rate using a predetermined electrode attached to the body, the accelerometer to measure an acceleration of physical movement of the body; and an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured heart rate and/or the measured acceleration.
  • the accelerometer may measure the acceleration of the physical movement in any one of a one-axis direction, two-axis direction, or three-axis direction.
  • the mode selector may drive the physical activity monitor when an output waveform of the accelerometer is greater than a predetermined threshold value and drives the electrical stimulation generator when the output waveform of the accelerometer is not greater than the predetermined threshold value.
  • the apparatus may also be a waist belt or a patch.
  • the waist belt or the patch may include a first layer including a plurality of electrodes for measuring the heart rate, a plurality of electrodes for the electrical stimulation, and a plurality of electrodes for the measuring of the electromyographic signal, and a second layer including the accelerometer measuring the acceleration of the physical movement and a predetermined controller.
  • An airbag layer inflatable and deflatable by air may also be interposed between the first layer and the second layer.
  • embodiments of the present invention set forth a health training/monitoring method, including determining whether a physical activity is dynamic or static, monitoring the physical activity using at least one of a heart rate measurer and an accelerometer when the physical activity is dynamic, and adjusting an electrical stimulation signal based on a degree of muscle fatigue, of at least a muscle of a body, and generating the adjusted electrical stimulation signal when the physical activity is static.
  • the physical activity may be determined to be dynamic when a value of the physical activity is greater than a predetermined threshold value for a predetermined period of time, and the physical activity may be determined as static when a value of the physical activity is not greater than the predetermined threshold value for the predetermined period of time.
  • the monitoring of the physical activity may include measuring the heart rate using a predetermined electrode attached to the body when the physical activity is dynamic, measuring acceleration of physical movement of the body using an accelerometer, and outputting at least one of a physical activity pattern and calories expended using the measured heart rate and the measured acceleration.
  • the adjusting and generating of the electrical stimulation signal may include detecting an electromyographic signal of the body, calculating a fatigue index indicating the degree of muscle fatigue by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and adjusting the electrical stimulation signal based on the calculated fatigue index and generating the adjusted electrical stimulation signal.
  • an electrical stimulation apparatus including an electromyogram detector detecting electromyographic signals from a body, a fatigue index calculator calculating a fatigue index indicating a degree of muscle fatigue, for at least a muscle in a body, by converting at least two detected electromyographic signals into respective frequency-domain electromyographic signals, with the calculated fatigue index being based on a ratio with the at least two frequency-domain electromyographic signals, and an electrical stimulation signal generator generating an electrical stimulation signal, for application to the body, based on the calculated fatigue index.
  • the apparatus may further include a heart rate measurer to measure a heart rate using a predetermined electrode attached to the body, and an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured heart rate. Further, the apparatus may include an accelerometer to measure an acceleration of physical movement of the body, and an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured acceleration.
  • the electrical stimulation signal generator may not generate the electrical stimulation signal.
  • the at least two detected electromyographic signals may be detected at least at an initial point in a predetermined period and a final point in the predetermined period, respectively.
  • the initial point may occur when the electrical stimulation apparatus is applied to operate on the body, and the final point may occur when the electrical stimulation apparatus is removed from operating on the body.
  • embodiments of the present invention set forth media including computer readable code implementing embodiments of the present invention.
  • FIG. 1 illustrates a block diagram of an apparatus controlling electrical stimulation using an electromyographic signal, according to an embodiment of the present invention
  • FIG. 2 illustrates a belt including an electromyogram (EMG) detection electrode to monitor a degree of abdominal/back muscle fatigue based on a biological signal, and an amplifier amplifying a detected signal, according to an embodiment of the present invention
  • EMG electromyogram
  • FIG. 3 illustrates a detailed block diagram of a fatigue index calculator, e.g., such as that illustrated in FIG. 1 ;
  • FIG. 4 illustrates a flowchart for a method for generating an electrical stimulation signal, according to an embodiment of the present invention
  • FIG. 5 illustrates a flowchart for a method for calculating a fatigue index, e.g., such as in operation 420 of FIG. 4 ;
  • FIG. 6 illustrates a block diagram of a health training/monitoring apparatus, according to an embodiment of the present invention
  • FIG. 7 illustrates a detailed block diagram of a physical activity monitor, such as that illustrated in FIG. 6 , according to an embodiment of the present invention
  • FIG. 8 is a sectional view of a waist belt or a patch, according to an embodiment of the present invention.
  • FIG. 9 illustrates a belt including an EMG detection electrode and an electrode for detecting a heart rate of abdominal muscles and to monitor a degree of abdominal/back fatigue using a biological signal, and an amplifier amplifying the detected signal, according to an embodiment of the present invention
  • FIG. 10 illustrates a belt including a biological signal detection electrode to monitor an activity using an acceleration signal, according to an embodiment of the present invention
  • FIG. 11A illustrates an abdomen EMG when electrodes are attached to the upper and lower abdomen, according to an embodiment of the present invention
  • FIG. 11B illustrates an abdomen EMG when electrodes are attached to the right and left sides of the abdomen, according to an embodiment of the present invention
  • FIG. 12 illustrates a schematic configuration of the health training/monitoring apparatus detecting a signal for monitoring the degree of abdominal/back fatigue and a heart rate using a biological signal, when a physical activity is in a static mode, according to an embodiment of the present invention
  • FIG. 13 illustrates a schematic configuration of the health training/monitoring apparatus detecting a signal for monitoring a physical activity, using an acceleration signal, to estimate calories expended and monitor a walking pattern, when the physical activity is in a dynamic mode, according to an embodiment of the present invention
  • FIG. 14 illustrates a schematic configuration of a health training/monitoring apparatus detecting a signal for monitoring a degree of abdominal fatigue, a heart rate, and a walking pattern by monitoring an EMG, the heart rate, and an activity of a patient having difficulty with movement or a patient with back pain, according to an embodiment of the present invention
  • FIG. 15 illustrates a flowchart illustrating a method of generating an electrical stimulation signal, according to an embodiment of the present invention
  • FIG. 16 illustrates a flowchart for monitoring a physical activity, such as operation 1560 of FIG. 15 , according to an embodiment of the present invention
  • FIG. 17 illustrates a waveform diagram of a heart rate measured by electrodes attached to the upper and lower abdomen when a belt is worn around the waist, according to an embodiment of the present invention
  • FIG. 18 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention
  • FIG. 19 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the left side of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention
  • FIG. 20 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention.
  • FIG. 21 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the right side of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention.
  • FIG. 1 illustrates a block diagram of an apparatus for controlling electrical stimulation using an electromyographic signal, according to an embodiment of the present invention.
  • the apparatus can include an electromyogram (EMG) detector 100 , a fatigue index calculator 120 , and an electrical stimulation signal generator 140 .
  • EMG electromyogram
  • the EMG detector 100 detects an electromyographic signal of the body, and can be detected using an EMG detection electrode, for example.
  • the EMG detection electrode is attached to the abdomen to monitor a degree of abdominal muscle fatigue, before and after exercise.
  • the EMG detection electrode can be attached to the back, along the waist, to monitor a degree of back muscle fatigue for those with back pain, for example.
  • FIG. 2 illustrates a belt including an EMG detection electrode to monitor the degree of abdominal/back muscle fatigue, based on a biological signal, and an amplifier amplifying a detected signal.
  • the fatigue index calculator 120 can calculate a fatigue index indicating the degree of muscle fatigue by converting an electromyographic signal detected by the EMG detector 100 , during a predetermined time unit, into a frequency-domain signal.
  • FIG. 3 illustrates a detailed block diagram of a fatigue index calculator 120 , with the fatigue index calculator 120 including an initial median frequency output unit 300 , a final median frequency output unit 320 , and a fatigue index output unit 340 .
  • the initial median frequency output unit 300 measures an EMG at an initial point, of a predetermined time unit, converts the EMG into a frequency-domain EMG, and outputs a median frequency (initial median frequency).
  • the final median frequency output unit 320 measures an EMG at a final point of the predetermined time unit, converts the EMG into a frequency-domain EMG, and outputs another median frequency (final median frequency).
  • the fatigue index output unit 340 determines a fatigue index as a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
  • the electrical stimulation signal generator 140 can generate an electrical stimulation signal according to the fatigue index.
  • the electrical stimulation signal generator 140 can adjust a size, a cycle, and/or a pattern of an electrical stimulation signal, for example.
  • FIG. 4 illustrates a flowchart for generating an electrical stimulation signal, according to an embodiment of the present invention.
  • An electromyographic signal of the body can be detected using an electromyographic signal detection electrode attached to a predetermined EMG detection medium, such as the belt illustrated in FIG. 2 (operation 400 ).
  • the electromyographic signal detected, during a predetermined time unit can be converted into a frequency-domain electromyographic signal and a fatigue index, indicating the degree of muscle fatigue, can be calculated using the frequency-domain electromyographic signal (operation 420 ).
  • the predetermined time unit can be a time unit for measuring a median frequency and may be set arbitrarily.
  • the moment when the belt to which the EMG detection electrode is attached is worn may be set as a starting point and the moment when the belt is taken off may be set as a final point
  • a period between the starting and the final points may be divided into several sections, and starting and final points of each section may be set as the time unit for measuring the median frequency.
  • FIG. 5 illustrates a flowchart for calculating the fatigue index in operation 420 , for example, in greater detail.
  • an EMG signal at the initial point of the predetermined time unit for measuring the median frequency may be measured and the EMG signal is converted into a frequency-domain signal.
  • an initial median frequency f mi can then be output (operation 500 ).
  • the EMG signal at the final point of the predetermined time can be measured and the EMG signal converted into a frequency-domain signal.
  • a final median frequency f mf can be output (operation 520 ).
  • an electrical stimulation signal corresponding to the fatigue index can be generated so as to not increase muscle fatigue (operation 440 ).
  • the electrical stimulation signal can be adjusted by changing its size, cycle, and/or pattern, for example.
  • a health training/monitoring apparatus, method, and medium, according to an embodiment of the present invention will now be described.
  • FIG. 6 illustrates a block diagram of the health training/monitoring apparatus, according to an embodiment of the present invention.
  • the health training/monitoring apparatus can include an electrical stimulation generator 620 , a physical activity monitor 640 , and a mode selector 600 .
  • the electrical stimulation generator 620 generates an electrical stimulation signal, adjusted according to the degree of muscle fatigue. A detailed description of the electrical stimulation generator 620 will be omitted here since it can be similar to the aforementioned apparatus generating electrical stimulation of FIG. 1 .
  • the physical activity monitor 640 can monitor physical activity, using at least one of a heart rate measurer and an accelerometer.
  • FIG. 7 is a detailed block diagram of the physical activity monitor 640 .
  • the physical activity monitor 640 can include a heart rate measurer 700 , an accelerometer 720 , and an activity output unit 740 .
  • the heart rate measurer 700 measures a heart rate using a predetermined electrode attached to the body, for example.
  • the accelerometer 720 measures acceleration of physical movement.
  • the accelerometer 720 can measure the acceleration of physical movement in any one of one-axis direction, two-axis direction, or three-axis direction, for example.
  • the one-axis direction denotes one direction in which the body moves, such as the direction in front of the body.
  • the two-axis direction denotes two directions in which the body moves, such as front and right & left, for example.
  • the three-axis direction denotes three directions such as front & rear, right & left, and top & bottom, for example.
  • the activity output unit 740 can output at least one of a physical activity pattern and calories expended (i.e., consumed by an activity) using the heart rate measured by the heart rate measurer 700 and the acceleration measured by the accelerometer 720 .
  • the activity output unit 740 includes an exercise quantity calculator 742 and an activity pattern output unit 744 .
  • the exercise quantity calculator 742 can calculate an amount of exercise using a heart rate and acceleration, with the activity pattern output unit 744 determining the corresponding activity pattern, such as walking, running, or ascending/descending stairs, using the heart rate and acceleration.
  • an acceleration sensor acceleration electrode
  • EMG electrode electromyographic signal detected by the EMG sensor
  • activity information of patients having difficulty with movement can be monitored all the time using their walking patterns and the varying degrees of muscle fatigue, thereby producing information useful for rehabilitative training, for example.
  • the mode selector 600 selectively drives the electrical stimulation generator 620 and the physical activity monitor 640 depending on the degree of physical activity.
  • the degree of the physical activity may be determined based on an output waveform of the accelerometer 720 being greater than a predetermined threshold for a predetermined period of time. For example, when a value of the output waveform of the accelerometer 720 is greater than a predetermined threshold value for a predetermined period of time, the mode of the physical activity can be designated a dynamic mode. Conversely, when the value of the output waveform of the accelerometer 720 is not greater than the predetermined threshold value for the predetermined period of time, the mode of the physical activity can be designated a static mode. The mode may also be selected manually by a user, for example.
  • a health training/monitoring apparatus using electrical stimulation may take the form of a belt worn around the waist or a patch worn around the arm, for example.
  • FIG. 8 is a sectional view of such a waist belt or patch.
  • the waist belt or the patch can include a first layer 80 and a second layer 85 , for example.
  • the first layer 80 may include a plurality of electrodes 800 and 810 for measuring a heart rate, a plurality of electrodes 820 and 830 for electrical stimulation, and a plurality of electrodes 800 and 810 for measuring electromyographic signals.
  • the second layer 85 can include an accelerometer 840 measuring acceleration and a predetermined controller 850 .
  • the belt or patch may include an airbag layer 83 , inflatable or deflatable by air, which may be interposed between the first layer 80 and the second layer 85 .
  • the airbag layer 83 can keep the belt or the patch close to the waist or the arm to prevent it from moving to the right/left or sliding up/down during physical activities, e.g., such during exercising.
  • FIG. 9 illustrates a belt including an EMG detection electrode, and an electrode for detecting a heart rate, for abdominal muscles to monitor the degree of abdominal/back fatigue using a biological signal, and an amplifier amplifying a corresponding detected signal.
  • FIG. 10 illustrates a belt including a biological signal detection electrode for monitoring activity using an acceleration signal.
  • FIG. 11A illustrates an abdomen EMG when electrodes are attached to the upper and lower abdomen, according to an embodiment of the present invention
  • FIG. 11B illustrates an abdomen EMG when electrodes are attached to the right and left sides of the abdomen, according to an embodiment of the present invention.
  • FIG. 12 illustrates a schematic configuration of a health training/monitoring apparatus detecting a signal monitoring a degree of abdominal/back fatigue, and a heart rate, using a biological signal when a physical activity is in the aforementioned static mode, according to an embodiment of the present invention.
  • FIG. 13 illustrates a schematic configuration of a health training/monitoring apparatus detecting a signal monitoring physical activity using an acceleration signal to estimate calories expended and to monitor a walking pattern when the physical activity is in the aforementioned dynamic mode, according to an embodiment of the present invention.
  • FIG. 14 illustrates a schematic configuration of a health training/monitoring apparatus monitoring a degree of abdominal fatigue, a heart rate, and a walking pattern by monitoring an EMG, the heart rate, and an activity of a patient having difficulty with movement or a patient with back pain, according to an embodiment of the present invention.
  • FIG. 15 illustrates a flowchart for generating an electrical stimulation signal, according to an embodiment of the present invention. The operation of the health training/monitoring apparatus will now be described with reference to FIG. 15 .
  • the mode selector 600 determines whether a physical activity is in a dynamic or static mode (operation 1520 ). When the physical activity is greater than a predetermined threshold value, for a predetermined period of time, the mode selector 600 designates the mode of the physical activity as being dynamic. Otherwise, the mode selector 600 designates the mode of the physical activity as being static.
  • the electrical stimulation generator 620 can adjust and generate an electrical stimulation signal according to a detected degree of muscle fatigue (operation 1540 ).
  • the degree of fatigue can be determined by a fatigue index, e.g., as calculated by the above Equation 1, with a method of adjusting the electrical stimulation signal being similar to the above mentioned method of generating an electrical stimulation signal, discussed with relation to FIG. 4 .
  • the physical activity monitor 640 can monitor the physical activity using at least one of the heart rate measurer 700 and the accelerometer 720 (operation 1560 ), for example.
  • FIG. 16 illustrates a flowchart for monitoring the physical activity, of operation 1560 , in greater detail.
  • the heart rate can be measured using a predetermined electrode attached to the body, and acceleration of physical movement can be measured using the accelerometer 720 (operation 1600 ).
  • At least one of a physical activity pattern and calories expended can be determined based on information regarding the measured heart rate and acceleration (operation 1650 ).
  • FIGS. 17 through 21 illustrate waveform diagrams of a heart rate measured by electrodes attached to the abdomen, according to an embodiment of the present invention.
  • FIG. 17 illustrates a waveform diagram of a heart rate measured by electrodes attached to the upper and lower abdomen when a belt is worn around the waist.
  • FIG. 18 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen or the right and left parts of the right or left side of the abdomen when the belt is worn around the waist.
  • FIG. 19 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the left side of the abdomen when the belt is worn around the waist
  • FIG. 20 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen when the belt is worn around the waist
  • FIG. 21 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the right side of the abdomen when the belt is worn around the waist.
  • Embodiments of the present invention can be implemented by a computer(s) (including all the devices capable of processing information) through computer readable code on a medium, e.g., a computer-readable recording medium.
  • the medium may include all kinds of recording devices where data readable by a computer system can be stored/transferred.
  • Media may include ROMs, RAMs, CD-ROMs, magnetic tapes, floppy disks, or optical data storages, or the Internet, for example.
  • Embodiments of the present invention provide an index for quantitatively monitoring progress based on a degree of abdominal fatigue by measuring the degree of abdominal fatigue before and after repeated abdominal muscle exercise. Therefore, electrical stimulation may be applied to the abdomen such that the abdominal muscle exercise does not aggravate the fatigued abdominal muscle. The user may also control the degree of the electrical stimulation.
  • the heart rate and acceleration of the user can be measured simultaneously. Accordingly, it is possible to estimate information such as calories expended, thereby enabling quantitative exercise by suggesting an intensity of exercise, for a level of calories expended, for healthy people or patients having difficulty with movement.
  • a walking pattern of a user can be monitored using the acceleration sensors attached to the front and rear of the belt worn around the waist, and the degree of muscle fatigue can be monitored using an EMG sensor placed around the waist, along the back, for example.
  • activity information for patients having difficulty with movement can be monitored, thereby producing information useful for rehabilitative training.

Abstract

An apparatus, method, and medium for generating electrical stimulation, including an electromyogram detector detecting an electromyographic signal of a body, a fatigue index calculator calculating a fatigue index indicating a degree of muscle fatigue by converting the electromyographic signal detected by the electromyogram detector during a predetermined time unit into a frequency-domain electromyographic signal, and an electrical stimulation signal generator adjusting an electrical stimulation signal according to the calculated fatigue index and generating the electrical stimulation signal. Accordingly, a health training/monitoring apparatus can include an electrical stimulation generator adjusting an electrical stimulation signal according to a degree of fatigue and generating the electrical stimulation signal, a physical activity monitor monitoring a physical activity using at least one of a heart rate measurer and an accelerometer, and a mode selector selectively driving the electrical stimulation generator or the physical activity monitor according to an amount of the physical activity.

Description

    CROSS-REFERENCE TO RELATED APPLICATIONS
  • This application claims the priority benefit of Korean Patent Application No. 10-2004-0042507, filed on Jun. 10, 2004, in the Korean Intellectual Property Office, the disclosure of which is incorporated herein in its entirety by reference.
  • BACKGROUND OF THE INVENTION
  • 1. Field of the Invention
  • The present invention relates to a medical aid, and more particularly, to an apparatus, method, and medium controlling electrical stimulation using an electromyographic signal and/or health training/monitoring with the same.
  • 2. Description of the Related Art
  • Conventional devices for electrically stimulating abdominal muscles to strengthen the abdominal muscles cannot quantitatively monitor the state of the abdominal muscles after abdominal muscle-strengthening exercise. Therefore, the conventional devices cannot display a corresponding electrical stimulation level, according to the state of abdominal muscles of each individual. Further, repeated abdominal muscle-strengthening exercise may aggravate fatigued abdominal muscles, with excessive exercise actually hindering the restoration of abdominal muscles and produce adverse effects.
  • In addition, since conventional heart monitors are worn around the chest, e.g., to measure heart rates, they can cause a sense of pressure upon the chest. In addition, conventionally, there have not been any apparatuses, methods, or media managing patients having difficulty with movement by monitoring their back muscles and walking patterns, in real time, nor have there been any apparatuses, methods, or media for measuring heart rates and stimulating abdominal muscles simultaneously.
  • SUMMARY OF THE INVENTION
  • Embodiments of the present invention provide apparatuses, methods, and media controlling electrical stimulation to a degree that the electrical stimulation does not aggravate fatigued muscles by calculating a degree of muscle fatigue by measuring a level of electromyogram (EMG) before and after muscle exercises.
  • Embodiments of the present invention also provides health training/monitoring apparatuses, methods, and media with such electrical stimulation, in which electrical stimulation may be controlled based on muscle fatigue, the degree of muscle fatigue can be monitored, information regarding physical activity and walking patterns can be monitored by measuring a heart rate and acceleration, while a user is performing aerobic exercises, such as running, jogging, walking, or stepping, and calories expended may be calculated.
  • To achieve the above and/or other aspects and advantages, embodiments of the present invention set forth an electrical stimulation apparatus using an electromyographic measurement, including an electromyogram detector detecting an electromyographic signal from a body, a fatigue index calculator calculating a fatigue index indicating a degree of muscle fatigue, for at least a muscle of the body, by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and an electrical stimulation signal generator adjusting an electrical stimulation signal, for application to the body, based on the calculated fatigue index and generating the electrical stimulation signal. Here, the electromyogram detector may include an electromyogram detection electrode.
  • The fatigue index calculator may include an initial median frequency output unit to measure an electromyogram at an initial point, of the predetermined time unit, to convert the measured initial point electromyogram into an initial frequency-domain electromyogram, and to output an initial median frequency, a final median frequency output unit to measure an electromyogram at a final point, of the predetermined time unit, to convert the measured final point electromyogram into a final frequency-domain electromyogram, and to output a final median frequency, and a fatigue index output unit to determine the fatigue index based on a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
  • The electrical stimulation signal generator may adjust the electrical stimulation signal by changing a size, a cycle, and/or a pattern of the electrical stimulation signal.
  • To achieve the above and/or other aspects and advantages, embodiments of the present invention set forth a method of generating electrical stimulation using an electromyographic signal, including detecting an electromyographic signal from a body using a predetermined medium for detecting an electromyogram, calculating a fatigue index indicating a degree of muscle fatigue, for a muscle of the body, by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and adjusting an electrical stimulation signal according to the calculated fatigue index and generating the adjusted electrical stimulation signal.
  • The calculating of the fatigue index may include measuring an initial electromyogram signal at an initial point, of the predetermined time unit, converting the measured initial point electromyogram signal into an initial frequency-domain electromyogram signal, and outputting an initial median frequency, measuring a final electromyogram signal at a final point, of the predetermined time unit, converting the measured final point electromyogram signal into a final frequency-domain electromyogram signal, and outputting a final median frequency, and determining the fatigue index based on a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
  • In the adjusting and generating of the electrical stimulation signal, the electrical stimulation signal may be adjusted by changing a size, a cycle, and/or a pattern of the electrical stimulation signal.
  • To achieve the above and/or other aspects and advantages, embodiments of the present invention set forth a health training/monitoring apparatus, including an electrical stimulation generator to adjust an electrical stimulation signal based on a degree of fatigue, of a muscle of a body, and generating the adjusted electrical stimulation signal, a physical activity monitor to monitor a physical activity of a user using at least one of a heart rate measurer and an accelerometer for the body, and a mode selector selectively driving the electrical stimulation generator or the physical activity monitor based on an amount of the monitored physical activity.
  • Here, the electrical stimulation generator may include an electromyogram detector to detect an electromyographic signal of the body, a fatigue index calculator to calculate a fatigue index indicating the degree of fatigue by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and an electrical stimulation signal generator to adjust the electrical stimulation signal based on the calculated fatigue index and to generate the adjusted electrical stimulation signal.
  • The physical activity monitor may include the heart rate measurer to measure a heart rate using a predetermined electrode attached to the body, the accelerometer to measure an acceleration of physical movement of the body; and an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured heart rate and/or the measured acceleration. In addition, the accelerometer may measure the acceleration of the physical movement in any one of a one-axis direction, two-axis direction, or three-axis direction.
  • Further, the mode selector may drive the physical activity monitor when an output waveform of the accelerometer is greater than a predetermined threshold value and drives the electrical stimulation generator when the output waveform of the accelerometer is not greater than the predetermined threshold value.
  • The apparatus may also be a waist belt or a patch. The waist belt or the patch may include a first layer including a plurality of electrodes for measuring the heart rate, a plurality of electrodes for the electrical stimulation, and a plurality of electrodes for the measuring of the electromyographic signal, and a second layer including the accelerometer measuring the acceleration of the physical movement and a predetermined controller. An airbag layer inflatable and deflatable by air may also be interposed between the first layer and the second layer.
  • To achieve the above and/or other aspects and advantages, embodiments of the present invention set forth a health training/monitoring method, including determining whether a physical activity is dynamic or static, monitoring the physical activity using at least one of a heart rate measurer and an accelerometer when the physical activity is dynamic, and adjusting an electrical stimulation signal based on a degree of muscle fatigue, of at least a muscle of a body, and generating the adjusted electrical stimulation signal when the physical activity is static.
  • In the determining of whether the physical activity is dynamic or static, the physical activity may be determined to be dynamic when a value of the physical activity is greater than a predetermined threshold value for a predetermined period of time, and the physical activity may be determined as static when a value of the physical activity is not greater than the predetermined threshold value for the predetermined period of time.
  • Further, the monitoring of the physical activity may include measuring the heart rate using a predetermined electrode attached to the body when the physical activity is dynamic, measuring acceleration of physical movement of the body using an accelerometer, and outputting at least one of a physical activity pattern and calories expended using the measured heart rate and the measured acceleration. In addition, the adjusting and generating of the electrical stimulation signal may include detecting an electromyographic signal of the body, calculating a fatigue index indicating the degree of muscle fatigue by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal, and adjusting the electrical stimulation signal based on the calculated fatigue index and generating the adjusted electrical stimulation signal.
  • To achieve the above and/or other aspects and advantages, embodiments of the present invention set forth an electrical stimulation apparatus, including an electromyogram detector detecting electromyographic signals from a body, a fatigue index calculator calculating a fatigue index indicating a degree of muscle fatigue, for at least a muscle in a body, by converting at least two detected electromyographic signals into respective frequency-domain electromyographic signals, with the calculated fatigue index being based on a ratio with the at least two frequency-domain electromyographic signals, and an electrical stimulation signal generator generating an electrical stimulation signal, for application to the body, based on the calculated fatigue index.
  • The apparatus may further include a heart rate measurer to measure a heart rate using a predetermined electrode attached to the body, and an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured heart rate. Further, the apparatus may include an accelerometer to measure an acceleration of physical movement of the body, and an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured acceleration. Here, when the measured acceleration is greater than a predetermined threshold value the electrical stimulation signal generator may not generate the electrical stimulation signal.
  • The at least two detected electromyographic signals may be detected at least at an initial point in a predetermined period and a final point in the predetermined period, respectively. The initial point may occur when the electrical stimulation apparatus is applied to operate on the body, and the final point may occur when the electrical stimulation apparatus is removed from operating on the body.
  • To achieve the above and/or other aspects and advantages, embodiments of the present invention set forth media including computer readable code implementing embodiments of the present invention.
  • Additional aspects and/or advantages of the invention will be set forth in part in the description which follows and, in part, will be apparent from the description, or may be learned by practice of the invention.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • The above and/or other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings in which:
  • FIG. 1 illustrates a block diagram of an apparatus controlling electrical stimulation using an electromyographic signal, according to an embodiment of the present invention;
  • FIG. 2 illustrates a belt including an electromyogram (EMG) detection electrode to monitor a degree of abdominal/back muscle fatigue based on a biological signal, and an amplifier amplifying a detected signal, according to an embodiment of the present invention;
  • FIG. 3 illustrates a detailed block diagram of a fatigue index calculator, e.g., such as that illustrated in FIG. 1;
  • FIG. 4 illustrates a flowchart for a method for generating an electrical stimulation signal, according to an embodiment of the present invention;
  • FIG. 5 illustrates a flowchart for a method for calculating a fatigue index, e.g., such as in operation 420 of FIG. 4;
  • FIG. 6 illustrates a block diagram of a health training/monitoring apparatus, according to an embodiment of the present invention;
  • FIG. 7 illustrates a detailed block diagram of a physical activity monitor, such as that illustrated in FIG. 6, according to an embodiment of the present invention;
  • FIG. 8 is a sectional view of a waist belt or a patch, according to an embodiment of the present invention;
  • FIG. 9 illustrates a belt including an EMG detection electrode and an electrode for detecting a heart rate of abdominal muscles and to monitor a degree of abdominal/back fatigue using a biological signal, and an amplifier amplifying the detected signal, according to an embodiment of the present invention;
  • FIG. 10 illustrates a belt including a biological signal detection electrode to monitor an activity using an acceleration signal, according to an embodiment of the present invention;
  • FIG. 11A illustrates an abdomen EMG when electrodes are attached to the upper and lower abdomen, according to an embodiment of the present invention;
  • FIG. 11B illustrates an abdomen EMG when electrodes are attached to the right and left sides of the abdomen, according to an embodiment of the present invention;
  • FIG. 12 illustrates a schematic configuration of the health training/monitoring apparatus detecting a signal for monitoring the degree of abdominal/back fatigue and a heart rate using a biological signal, when a physical activity is in a static mode, according to an embodiment of the present invention;
  • FIG. 13 illustrates a schematic configuration of the health training/monitoring apparatus detecting a signal for monitoring a physical activity, using an acceleration signal, to estimate calories expended and monitor a walking pattern, when the physical activity is in a dynamic mode, according to an embodiment of the present invention;
  • FIG. 14 illustrates a schematic configuration of a health training/monitoring apparatus detecting a signal for monitoring a degree of abdominal fatigue, a heart rate, and a walking pattern by monitoring an EMG, the heart rate, and an activity of a patient having difficulty with movement or a patient with back pain, according to an embodiment of the present invention;
  • FIG. 15 illustrates a flowchart illustrating a method of generating an electrical stimulation signal, according to an embodiment of the present invention;
  • FIG. 16 illustrates a flowchart for monitoring a physical activity, such as operation 1560 of FIG. 15, according to an embodiment of the present invention;
  • FIG. 17 illustrates a waveform diagram of a heart rate measured by electrodes attached to the upper and lower abdomen when a belt is worn around the waist, according to an embodiment of the present invention;
  • FIG. 18 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention;
  • FIG. 19 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the left side of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention;
  • FIG. 20 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention; and
  • FIG. 21 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the right side of the abdomen when the belt is worn around the waist, according to an embodiment of the present invention.
  • DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
  • Reference will now be made in detail to the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like reference numerals refer to the like elements throughout. The embodiments are described below to explain the present invention by referring to the figures.
  • FIG. 1 illustrates a block diagram of an apparatus for controlling electrical stimulation using an electromyographic signal, according to an embodiment of the present invention. The apparatus can include an electromyogram (EMG) detector 100, a fatigue index calculator 120, and an electrical stimulation signal generator 140.
  • The EMG detector 100 detects an electromyographic signal of the body, and can be detected using an EMG detection electrode, for example. The EMG detection electrode is attached to the abdomen to monitor a degree of abdominal muscle fatigue, before and after exercise. In addition, the EMG detection electrode can be attached to the back, along the waist, to monitor a degree of back muscle fatigue for those with back pain, for example.
  • FIG. 2 illustrates a belt including an EMG detection electrode to monitor the degree of abdominal/back muscle fatigue, based on a biological signal, and an amplifier amplifying a detected signal.
  • The fatigue index calculator 120 can calculate a fatigue index indicating the degree of muscle fatigue by converting an electromyographic signal detected by the EMG detector 100, during a predetermined time unit, into a frequency-domain signal.
  • FIG. 3 illustrates a detailed block diagram of a fatigue index calculator 120, with the fatigue index calculator 120 including an initial median frequency output unit 300, a final median frequency output unit 320, and a fatigue index output unit 340. The initial median frequency output unit 300 measures an EMG at an initial point, of a predetermined time unit, converts the EMG into a frequency-domain EMG, and outputs a median frequency (initial median frequency). The final median frequency output unit 320 measures an EMG at a final point of the predetermined time unit, converts the EMG into a frequency-domain EMG, and outputs another median frequency (final median frequency). The fatigue index output unit 340 determines a fatigue index as a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
  • The electrical stimulation signal generator 140 can generate an electrical stimulation signal according to the fatigue index. The electrical stimulation signal generator 140 can adjust a size, a cycle, and/or a pattern of an electrical stimulation signal, for example.
  • FIG. 4 illustrates a flowchart for generating an electrical stimulation signal, according to an embodiment of the present invention.
  • An electromyographic signal of the body can be detected using an electromyographic signal detection electrode attached to a predetermined EMG detection medium, such as the belt illustrated in FIG. 2 (operation 400). The electromyographic signal detected, during a predetermined time unit, can be converted into a frequency-domain electromyographic signal and a fatigue index, indicating the degree of muscle fatigue, can be calculated using the frequency-domain electromyographic signal (operation 420).
  • Here, the predetermined time unit can be a time unit for measuring a median frequency and may be set arbitrarily. For example, the moment when the belt to which the EMG detection electrode is attached is worn may be set as a starting point and the moment when the belt is taken off may be set as a final point Alternatively, a period between the starting and the final points may be divided into several sections, and starting and final points of each section may be set as the time unit for measuring the median frequency.
  • FIG. 5 illustrates a flowchart for calculating the fatigue index in operation 420, for example, in greater detail. Referring to FIG. 5, after the belt is worn, an EMG signal at the initial point of the predetermined time unit for measuring the median frequency may be measured and the EMG signal is converted into a frequency-domain signal. As a result, an initial median frequency fmi can then be output (operation 500).
  • After carrying out daily activities or exercising, the EMG signal at the final point of the predetermined time can be measured and the EMG signal converted into a frequency-domain signal. As a result, a final median frequency fmf can be output (operation 520).
  • Once the initial median frequency fmi and the final median frequency fmf are obtained, the fatigue index may be calculated as a ratio of the initial median frequency fmi to a difference between the initial median frequency fmi and the final median frequency fmf (operation 540). If the fatigue index is obtained using an EMG electrode attached to abdominal muscles the degree of abdominal fatigue can be monitored. If the fatigue index is obtained using an EMG electrode attached to back muscles the degree of back muscle fatigue can be monitored. Fatigue Index ( % ) = f m i - f mf f m i × 100 Equation ( 1 )
  • Once the fatigue index is calculated, in operation 420, an electrical stimulation signal corresponding to the fatigue index can be generated so as to not increase muscle fatigue (operation 440). The electrical stimulation signal can be adjusted by changing its size, cycle, and/or pattern, for example.
  • A health training/monitoring apparatus, method, and medium, according to an embodiment of the present invention will now be described.
  • FIG. 6 illustrates a block diagram of the health training/monitoring apparatus, according to an embodiment of the present invention. The health training/monitoring apparatus can include an electrical stimulation generator 620, a physical activity monitor 640, and a mode selector 600.
  • The electrical stimulation generator 620 generates an electrical stimulation signal, adjusted according to the degree of muscle fatigue. A detailed description of the electrical stimulation generator 620 will be omitted here since it can be similar to the aforementioned apparatus generating electrical stimulation of FIG. 1.
  • The physical activity monitor 640 can monitor physical activity, using at least one of a heart rate measurer and an accelerometer. FIG. 7 is a detailed block diagram of the physical activity monitor 640. As illustrated, the physical activity monitor 640 can include a heart rate measurer 700, an accelerometer 720, and an activity output unit 740.
  • The heart rate measurer 700 measures a heart rate using a predetermined electrode attached to the body, for example. The accelerometer 720 measures acceleration of physical movement. The accelerometer 720 can measure the acceleration of physical movement in any one of one-axis direction, two-axis direction, or three-axis direction, for example. The one-axis direction denotes one direction in which the body moves, such as the direction in front of the body. The two-axis direction denotes two directions in which the body moves, such as front and right & left, for example. The three-axis direction denotes three directions such as front & rear, right & left, and top & bottom, for example.
  • The activity output unit 740 can output at least one of a physical activity pattern and calories expended (i.e., consumed by an activity) using the heart rate measured by the heart rate measurer 700 and the acceleration measured by the accelerometer 720. The activity output unit 740 includes an exercise quantity calculator 742 and an activity pattern output unit 744. The exercise quantity calculator 742 can calculate an amount of exercise using a heart rate and acceleration, with the activity pattern output unit 744 determining the corresponding activity pattern, such as walking, running, or ascending/descending stairs, using the heart rate and acceleration.
  • If an acceleration sensor (acceleration electrode) is attached to each of the front and rear of a belt worn around the waist, the walking pattern of a user can be monitored using the acceleration detected by the acceleration sensor (acceleration electrode). If an EMG sensor (EMG electrode) is also placed around the waist, along the back, the degree of back muscle fatigue can be monitored using an electromyographic signal detected by the EMG sensor (EMG electrode). In this regard, activity information of patients having difficulty with movement can be monitored all the time using their walking patterns and the varying degrees of muscle fatigue, thereby producing information useful for rehabilitative training, for example.
  • The mode selector 600, illustrated in FIG. 6, selectively drives the electrical stimulation generator 620 and the physical activity monitor 640 depending on the degree of physical activity. The degree of the physical activity may be determined based on an output waveform of the accelerometer 720 being greater than a predetermined threshold for a predetermined period of time. For example, when a value of the output waveform of the accelerometer 720 is greater than a predetermined threshold value for a predetermined period of time, the mode of the physical activity can be designated a dynamic mode. Conversely, when the value of the output waveform of the accelerometer 720 is not greater than the predetermined threshold value for the predetermined period of time, the mode of the physical activity can be designated a static mode. The mode may also be selected manually by a user, for example.
  • A health training/monitoring apparatus using electrical stimulation may take the form of a belt worn around the waist or a patch worn around the arm, for example. FIG. 8 is a sectional view of such a waist belt or patch. The waist belt or the patch can include a first layer 80 and a second layer 85, for example. The first layer 80 may include a plurality of electrodes 800 and 810 for measuring a heart rate, a plurality of electrodes 820 and 830 for electrical stimulation, and a plurality of electrodes 800 and 810 for measuring electromyographic signals. The second layer 85 can include an accelerometer 840 measuring acceleration and a predetermined controller 850.
  • In addition, the belt or patch may include an airbag layer 83, inflatable or deflatable by air, which may be interposed between the first layer 80 and the second layer 85. When the belt or the patch is worn around the waist or the arm, the airbag layer 83 can keep the belt or the patch close to the waist or the arm to prevent it from moving to the right/left or sliding up/down during physical activities, e.g., such during exercising.
  • FIG. 9 illustrates a belt including an EMG detection electrode, and an electrode for detecting a heart rate, for abdominal muscles to monitor the degree of abdominal/back fatigue using a biological signal, and an amplifier amplifying a corresponding detected signal. FIG. 10 illustrates a belt including a biological signal detection electrode for monitoring activity using an acceleration signal. FIG. 11A illustrates an abdomen EMG when electrodes are attached to the upper and lower abdomen, according to an embodiment of the present invention, and FIG. 11B illustrates an abdomen EMG when electrodes are attached to the right and left sides of the abdomen, according to an embodiment of the present invention.
  • FIG. 12 illustrates a schematic configuration of a health training/monitoring apparatus detecting a signal monitoring a degree of abdominal/back fatigue, and a heart rate, using a biological signal when a physical activity is in the aforementioned static mode, according to an embodiment of the present invention. FIG. 13 illustrates a schematic configuration of a health training/monitoring apparatus detecting a signal monitoring physical activity using an acceleration signal to estimate calories expended and to monitor a walking pattern when the physical activity is in the aforementioned dynamic mode, according to an embodiment of the present invention.
  • FIG. 14 illustrates a schematic configuration of a health training/monitoring apparatus monitoring a degree of abdominal fatigue, a heart rate, and a walking pattern by monitoring an EMG, the heart rate, and an activity of a patient having difficulty with movement or a patient with back pain, according to an embodiment of the present invention. FIG. 15 illustrates a flowchart for generating an electrical stimulation signal, according to an embodiment of the present invention. The operation of the health training/monitoring apparatus will now be described with reference to FIG. 15.
  • During daily activities (operation 1500), when a belt or a patch is worn around the body, the mode selector 600 determines whether a physical activity is in a dynamic or static mode (operation 1520). When the physical activity is greater than a predetermined threshold value, for a predetermined period of time, the mode selector 600 designates the mode of the physical activity as being dynamic. Otherwise, the mode selector 600 designates the mode of the physical activity as being static.
  • When the physical activity is in the static mode, the electrical stimulation generator 620 can adjust and generate an electrical stimulation signal according to a detected degree of muscle fatigue (operation 1540). The degree of fatigue can be determined by a fatigue index, e.g., as calculated by the above Equation 1, with a method of adjusting the electrical stimulation signal being similar to the above mentioned method of generating an electrical stimulation signal, discussed with relation to FIG. 4.
  • When the physical activity is in the dynamic mode, the physical activity monitor 640 can monitor the physical activity using at least one of the heart rate measurer 700 and the accelerometer 720 (operation 1560), for example.
  • FIG. 16 illustrates a flowchart for monitoring the physical activity, of operation 1560, in greater detail. When the physical activity is designated as corresponding to the dynamic mode, the heart rate can be measured using a predetermined electrode attached to the body, and acceleration of physical movement can be measured using the accelerometer 720 (operation 1600). At least one of a physical activity pattern and calories expended can be determined based on information regarding the measured heart rate and acceleration (operation 1650).
  • FIGS. 17 through 21 illustrate waveform diagrams of a heart rate measured by electrodes attached to the abdomen, according to an embodiment of the present invention. FIG. 17 illustrates a waveform diagram of a heart rate measured by electrodes attached to the upper and lower abdomen when a belt is worn around the waist. FIG. 18 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen or the right and left parts of the right or left side of the abdomen when the belt is worn around the waist.
  • FIG. 19 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the left side of the abdomen when the belt is worn around the waist, FIG. 20 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left sides of the abdomen when the belt is worn around the waist, and FIG. 21 illustrates a waveform diagram of a heart rate measured by electrodes attached to the right and left parts of the right side of the abdomen when the belt is worn around the waist.
  • Embodiments of the present invention can be implemented by a computer(s) (including all the devices capable of processing information) through computer readable code on a medium, e.g., a computer-readable recording medium. The medium may include all kinds of recording devices where data readable by a computer system can be stored/transferred. Media may include ROMs, RAMs, CD-ROMs, magnetic tapes, floppy disks, or optical data storages, or the Internet, for example.
  • Embodiments of the present invention provide an index for quantitatively monitoring progress based on a degree of abdominal fatigue by measuring the degree of abdominal fatigue before and after repeated abdominal muscle exercise. Therefore, electrical stimulation may be applied to the abdomen such that the abdominal muscle exercise does not aggravate the fatigued abdominal muscle. The user may also control the degree of the electrical stimulation.
  • When a user is performing aerobic exercises such as running, jogging, walking, or stepping, while wearing an abdominal belt including a heart rate measuring sensor at the abdomen and an acceleration measuring sensor at the abdomen and back, the heart rate and acceleration of the user can be measured simultaneously. Accordingly, it is possible to estimate information such as calories expended, thereby enabling quantitative exercise by suggesting an intensity of exercise, for a level of calories expended, for healthy people or patients having difficulty with movement.
  • Further, a walking pattern of a user can be monitored using the acceleration sensors attached to the front and rear of the belt worn around the waist, and the degree of muscle fatigue can be monitored using an EMG sensor placed around the waist, along the back, for example. In this regard, activity information for patients having difficulty with movement can be monitored, thereby producing information useful for rehabilitative training.
  • In particular, it is possible to monitor the status of lumbar protection and activity of patients with lumbar troubles and to provide feedback information according to walking patterns of patients, for example, having difficulty with movement, thereby inducing effective rehabilitative training.
  • Although a few embodiments of the present invention have been shown and described, it would be appreciated by those skilled in the art that changes may be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the claims and their equivalents.

Claims (28)

1. An electrical stimulation apparatus using an electromyographic measurement, comprising:
an electromyogram detector detecting an electromyographic signal from a body;
a fatigue index calculator calculating a fatigue index indicating a degree of muscle fatigue, for at least a muscle of the body, by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal; and
an electrical stimulation signal generator adjusting an electrical stimulation signal, for application to the body, based on the calculated fatigue index and generating the electrical stimulation signal.
2. The apparatus of claim 1, wherein the electromyogram detector comprises an electromyogram detection electrode.
3. The apparatus of claim 1, wherein the fatigue index calculator comprises:
an initial median frequency output unit to measure an electromyogram at an initial point, of the predetermined time unit, to convert the measured initial point electromyogram into an initial frequency-domain electromyogram, and to output an initial median frequency;
a final median frequency output unit to measure an electromyogram at a final point, of the predetermined time unit, to convert the measured final point electromyogram into a final frequency-domain electromyogram, and to output a final median frequency; and
a fatigue index output unit to determine the fatigue index based on a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
4. The apparatus of claim 1, wherein the electrical stimulation signal generator adjusts the electrical stimulation signal by changing a size, a cycle, and/or a pattern of the electrical stimulation signal.
5. A method of generating electrical stimulation using an electromyographic signal, comprising:
detecting an electromyographic signal from a body using a predetermined medium for detecting an electromyogram;
calculating a fatigue index indicating a degree of muscle fatigue, for a muscle of the body, by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal; and
adjusting an electrical stimulation signal according to the calculated fatigue index and generating the adjusted electrical stimulation signal.
6. The method of claim 5, wherein the calculating of the fatigue index comprises:
measuring an initial electromyogram signal at an initial point, of the predetermined time unit, converting the measured initial point electromyogram signal into an initial frequency-domain electromyogram signal, and outputting an initial median frequency;
measuring a final electromyogram signal at a final point, of the predetermined time unit, converting the measured final point electromyogram signal into a final frequency-domain electromyogram signal, and outputting a final median frequency; and
determining the fatigue index based on a ratio of the initial median frequency to a difference between the initial median frequency and the final median frequency.
7. The method of claim 5, wherein, in the adjusting and generating of the electrical stimulation signal, the electrical stimulation signal is adjusted by changing a size, a cycle, and/or a pattern of the electrical stimulation signal.
8. A health training/monitoring apparatus, comprising:
an electrical stimulation generator to adjust an electrical stimulation signal based on a degree of fatigue, of a muscle of a body, and generating the adjusted electrical stimulation signal;
a physical activity monitor to monitor a physical activity of a user using at least one of a heart rate measurer and an accelerometer for the body; and
a mode selector selectively driving the electrical stimulation generator or the physical activity monitor based on an amount of the monitored physical activity.
9. The health training/monitoring apparatus of claim 8, wherein the electrical stimulation generator comprises:
an electromyogram detector to detect an electromyographic signal of the body;
a fatigue index calculator to calculate a fatigue index indicating the degree of fatigue by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal; and
an electrical stimulation signal generator to adjust the electrical stimulation signal based on the calculated fatigue index and to generate the adjusted electrical stimulation signal.
10. The health training/monitoring apparatus of claim 8, wherein the physical activity monitor comprises:
the heart rate measurer to measure a heart rate using a predetermined electrode attached to the body;
the accelerometer to measure an acceleration of physical movement of the body; and
an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured heart rate and/or the measured acceleration
11. The health training/monitoring apparatus of claim 10, wherein the accelerometer measures the acceleration of the physical movement in any one of a one-axis direction, two-axis direction, or three-axis direction.
12. The health training/monitoring apparatus of claim 8, wherein the mode selector drives the physical activity monitor when an output waveform of the accelerometer is greater than a predetermined threshold value and drives the electrical stimulation generator when the output waveform of the accelerometer is not greater than the predetermined threshold value.
13. The health training/monitoring apparatus of claim 8, wherein the apparatus is a waist belt or a patch.
14. The health training/monitoring apparatus of claim 13, wherein the waist belt or the patch comprises:
a first layer comprising a plurality of electrodes for measuring the heart rate, a plurality of electrodes for the electrical stimulation, and a plurality of electrodes for the measuring of the electromyographic signal; and
a second layer comprising the accelerometer measuring the acceleration of the physical movement and a predetermined controller.
15. The health training/monitoring apparatus of claim 14, wherein an airbag layer inflatable and deflatable by air is interposed between the first layer and the second layer.
16. A health training/monitoring method, comprising:
determining whether a physical activity is dynamic or static;
monitoring the physical activity using at least one of a heart rate measurer and an accelerometer when the physical activity is dynamic; and
adjusting an electrical stimulation signal based on a degree of muscle fatigue, of at least a muscle of a body, and generating the adjusted electrical stimulation signal when the physical activity is static.
17. The method of claim 16, wherein in the determining of whether the physical activity is dynamic or static, the physical activity is determined to be dynamic when a value of the physical activity is greater than a predetermined threshold value for a predetermined period of time, and the physical activity is determined as static when a value of the physical activity is not greater than the predetermined threshold value for the predetermined period of time.
18. The method of claim 16, wherein the monitoring of the physical activity comprises:
measuring the heart rate using a predetermined electrode attached to the body when the physical activity is dynamic;
measuring acceleration of physical movement of the body using an accelerometer; and
outputting at least one of a physical activity pattern and calories expended using the measured heart rate and the measured acceleration.
19. The method of claim 16, wherein the adjusting and generating of the electrical stimulation signal comprises:
detecting an electromyographic signal of the body;
calculating a fatigue index indicating the degree of muscle fatigue by converting the detected electromyographic signal, detected during a predetermined time unit, into a frequency-domain electromyographic signal; and
adjusting the electrical stimulation signal based on the calculated fatigue index and generating the adjusted electrical stimulation signal.
20. A medium comprising computer readable code implementing the method of claim 5.
21. A medium comprising computer readable code implementing the method of claim 16.
22. An electrical stimulation apparatus, comprising:
an electromyogram detector detecting electromyographic signals from a body;
a fatigue index calculator calculating a fatigue index indicating a degree of muscle fatigue, for at least a muscle in a body, by converting at least two detected electromyographic signals into respective frequency-domain electromyographic signals, with the calculated fatigue index being based on a ratio with the at least two frequency-domain electromyographic signals; and
an electrical stimulation signal generator generating an electrical stimulation signal, for application to the body, based on the calculated fatigue index.
23. The electrical stimulation apparatus of claim 22, further comprising:
a heart rate measurer to measure a heart rate using a predetermined electrode attached to the body; and
an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured heart rate.
24. The electrical stimulation apparatus of claim 22, further comprising:
an accelerometer to measure an acceleration of physical movement of the body; and
an activity output unit to output at least one of a physical activity pattern and calories expended based on the measured acceleration.
25. The electrical stimulation apparatus of claim 24, wherein when the measured acceleration is greater than a predetermined threshold value the electrical stimulation signal generator does not generate the electrical stimulation signal.
26. The electrical stimulation apparatus of claim 22, wherein the at least two detected electromyographic signals are detected at least at an initial point in a predetermined period and a final point in the predetermined period, respectively.
27. The electrical stimulation apparatus of claim 26, wherein the initial point occurs when the electrical stimulation apparatus is applied to operate on the body.
28. The electrical stimulation apparatus of claim 26, wherein the final point occurs when the electrical stimulation apparatus is removed from operating on the body.
US11/148,434 2004-06-10 2005-06-09 Apparatus, method, and medium controlling electrical stimulation and/or health training/monitoring Abandoned US20050283205A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US12/379,935 US8620439B2 (en) 2004-06-10 2009-03-04 Apparatus controlling electrical stimulation and/or health training/monitoring

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2004-0042507 2004-06-10
KR1020040042507A KR100624424B1 (en) 2004-06-10 2004-06-10 Electric stimulus generating device and method, and Health training/monitoring apparatus and method using it

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US12/379,935 Division US8620439B2 (en) 2004-06-10 2009-03-04 Apparatus controlling electrical stimulation and/or health training/monitoring

Publications (1)

Publication Number Publication Date
US20050283205A1 true US20050283205A1 (en) 2005-12-22

Family

ID=35481653

Family Applications (2)

Application Number Title Priority Date Filing Date
US11/148,434 Abandoned US20050283205A1 (en) 2004-06-10 2005-06-09 Apparatus, method, and medium controlling electrical stimulation and/or health training/monitoring
US12/379,935 Active 2025-08-02 US8620439B2 (en) 2004-06-10 2009-03-04 Apparatus controlling electrical stimulation and/or health training/monitoring

Family Applications After (1)

Application Number Title Priority Date Filing Date
US12/379,935 Active 2025-08-02 US8620439B2 (en) 2004-06-10 2009-03-04 Apparatus controlling electrical stimulation and/or health training/monitoring

Country Status (2)

Country Link
US (2) US20050283205A1 (en)
KR (1) KR100624424B1 (en)

Cited By (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070232453A1 (en) * 2004-10-22 2007-10-04 Mytrak Health System Inc. Fatigue and Consistency in Exercising
US20100076273A1 (en) * 2005-10-31 2010-03-25 Toyota Jidosha Kabushiki Kaisha Detector for state of person
US7914425B2 (en) 2004-10-22 2011-03-29 Mytrak Health System Inc. Hydraulic exercise machine system and methods thereof
WO2012040388A2 (en) * 2010-09-21 2012-03-29 Somaxis Incorporated Metrics and algorithms for interpretation of muscular use
US20120184871A1 (en) * 2011-01-14 2012-07-19 Seungjin Jang Exercise monitor and method for monitoring exercise
US20130225940A1 (en) * 2010-10-29 2013-08-29 Delta Tooling Co., Ltd. Biological body state estimation device and computer program
WO2013140030A1 (en) * 2012-03-23 2013-09-26 Juno Medical Llc Measuring device and method for indicating level of fatigue
US20140364701A1 (en) * 2013-06-06 2014-12-11 Leonid Masakov Apparatus and method for assessing functional state of body systems including electromyography
US20140364702A1 (en) * 2013-06-06 2014-12-11 Valeriy Nasedkin Apparatus and method for functional state and/or performance assessment and training program adjustment
US20150099945A1 (en) * 2013-10-07 2015-04-09 Wahoo Fitness Llc Activity monitoring computing device and system
US9081890B2 (en) 2012-11-13 2015-07-14 Daegu Gyeongbyk Institute of Science and Technology Rehabilitation training system and method
US9114255B1 (en) 2011-06-17 2015-08-25 Customkynetics, Inc. Exercise device for use with electrical stimulation and related methods
US20160106365A1 (en) * 2014-10-17 2016-04-21 Samsung Electronics Co., Ltd. Method and apparatus for extracting anaerobic threshold
WO2016207471A1 (en) * 2015-06-22 2016-12-29 Fibrux Oy Device for measuring muscle signals
US20170312576A1 (en) * 2016-04-02 2017-11-02 Senthil Natarajan Wearable Physiological Sensor System for Training and Therapeutic Purposes
EP3290084A1 (en) * 2016-08-30 2018-03-07 Panasonic Intellectual Property Management Co., Ltd. Control device for electrical stimulation apparatus, electrical stimulation apparatus, and pedaling exercise system
EP3235540A4 (en) * 2014-12-09 2018-08-01 Beijing Galaxy Raintai Technology Co., Ltd. Auxiliary device for training and auxiliary method for training
CN109259762A (en) * 2018-11-02 2019-01-25 郑州大学 A kind of muscular fatigue comprehensive test device based on multivariate data fusion
CN109716443A (en) * 2016-07-12 2019-05-03 Hhs株式会社 Utilize the exercise management method and system of electromyography transducer
US20190290181A1 (en) * 2016-07-11 2019-09-26 Strive Tech Inc. Analytics System for Detecting Athletic Fatigue, and Associated Methods
US10490051B2 (en) 2016-02-05 2019-11-26 Logitech Europe S.A. Method and system for detecting fatigue in an athlete
US20200015700A1 (en) * 2018-07-15 2020-01-16 Ifgcure Holdings, Llc Biometric electromyography sensor device for fatigue monitoring and injury prevention and methods for using same
WO2021193035A1 (en) * 2020-03-27 2021-09-30 テルモ株式会社 Electrostimulation system
US11324949B2 (en) * 2016-06-15 2022-05-10 Eleway Industries Inc. Systems and methods for electrical muscle stimulation
US11406558B2 (en) 2016-04-25 2022-08-09 Preactive Technologies Inc. Reducing brain injury by limiting brain motion during sudden deceleration or acceleration of the head
CN115281676A (en) * 2022-10-08 2022-11-04 齐鲁工业大学 Fatigue detection method based on GRU neural network and ECG signal
CN115363604A (en) * 2022-10-19 2022-11-22 山东海天智能工程有限公司 Electrode discharge automatic regulating system based on electroencephalogram signals, medium and electronic equipment
CN115985464A (en) * 2023-03-17 2023-04-18 山东大学齐鲁医院 Muscle fatigue degree classification method and system based on multi-modal data fusion
CN115985463A (en) * 2023-03-17 2023-04-18 山东大学齐鲁医院 Wearable device-based method and system for predicting muscle fatigue degree in real time
US11864898B2 (en) 2020-11-06 2024-01-09 Myocene Muscle fatigue determination method and system

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101366077B1 (en) * 2007-12-06 2014-02-21 삼성전자주식회사 Module for measuring character linked to exercise, system for analyzing character linked to exercise with the module, and method for applying the module
WO2012003451A2 (en) 2010-07-01 2012-01-05 Stimdesigns Llc Universal closed-loop electrical stimulation system
KR101307515B1 (en) * 2010-08-23 2013-09-12 인제대학교 산학협력단 Apparatus for sensing bio-signal and method thereof
KR101414975B1 (en) * 2012-12-04 2014-07-04 재단법인대구경북과학기술원 Method and apparatus for evaluating of rehabilitation using emg signal of upper limb
KR101392065B1 (en) 2013-01-15 2014-05-27 전북대학교산학협력단 Apparatus for active xercise for physically handicapped
ES2549072B1 (en) * 2014-04-22 2016-11-16 Diego ANAYA SALAS Integral electrostimulation system with elastic bands and monitoring
JP6308499B2 (en) 2014-12-05 2018-04-11 パナソニックIpマネジメント株式会社 Electrical stimulator
CN104825174B (en) * 2015-04-17 2017-11-07 深圳还是威健康科技有限公司 The detection method and terminal of a kind of fatigue state
CN108209911B (en) * 2017-05-25 2020-02-07 深圳市前海未来无限投资管理有限公司 Electromyographic signal acquisition method and device
CN108209912B (en) * 2017-05-25 2020-06-05 深圳市前海未来无限投资管理有限公司 Electromyographic signal acquisition method and device
CN111655325A (en) 2017-12-18 2020-09-11 丹·萨克斯 Devices, systems, and methods for therapeutic muscle stimulation
CN109077725B (en) * 2018-08-09 2021-03-09 江汉大学 Muscle fatigue degree detection device
KR102368135B1 (en) * 2019-07-05 2022-02-28 최원석 Muscle stimulation apparatus, muscle stimulation pad, muscle stimulation system and method for muscle stimulation therof

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5070873A (en) * 1987-02-13 1991-12-10 Sigmedics, Inc. Method of and apparatus for electrically stimulating quadriceps muscles of an upper motor unit paraplegic
US5163440A (en) * 1990-05-30 1992-11-17 Trustees Of Boston University Method for monitoring performance of back muscles
US5361775A (en) * 1993-04-06 1994-11-08 Mega Elektroniikka Oy Pl. Method for determining muscle endurance and sensitivity to fatigue
US20020010499A1 (en) * 1999-11-01 2002-01-24 Pierre Rigaux Electrical neuromuscular stimulator for measuring muscle responses to electrical stimulation pulses
US6605038B1 (en) * 2000-06-16 2003-08-12 Bodymedia, Inc. System for monitoring health, wellness and fitness

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002068040A2 (en) * 2001-01-16 2002-09-06 B.M.R. Research And Development, Ltd. Apparatus for stimulating a muscle of a subject
KR100456038B1 (en) * 2001-06-04 2004-11-09 임재중 The bio-feedback system
US7123967B2 (en) * 2002-05-13 2006-10-17 Pacesetter, Inc. Implantable neural stimulation device providing activity, rest, and long term closed-loop peripheral vascular disease therapy and method
JP2004037344A (en) * 2002-07-05 2004-02-05 Sanyo Electric Co Ltd Timer and air conditioner comprising the same
GB2394294A (en) * 2002-10-18 2004-04-21 Cambridge Neurotechnology Ltd Cardiac sensor with accelerometer
US7330760B2 (en) * 2004-03-16 2008-02-12 Medtronic, Inc. Collecting posture information to evaluate therapy

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5070873A (en) * 1987-02-13 1991-12-10 Sigmedics, Inc. Method of and apparatus for electrically stimulating quadriceps muscles of an upper motor unit paraplegic
US5163440A (en) * 1990-05-30 1992-11-17 Trustees Of Boston University Method for monitoring performance of back muscles
US5361775A (en) * 1993-04-06 1994-11-08 Mega Elektroniikka Oy Pl. Method for determining muscle endurance and sensitivity to fatigue
US20020010499A1 (en) * 1999-11-01 2002-01-24 Pierre Rigaux Electrical neuromuscular stimulator for measuring muscle responses to electrical stimulation pulses
US6605038B1 (en) * 2000-06-16 2003-08-12 Bodymedia, Inc. System for monitoring health, wellness and fitness

Cited By (42)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7846067B2 (en) * 2004-10-22 2010-12-07 Mytrak Health System Inc. Fatigue and consistency in exercising
US7914425B2 (en) 2004-10-22 2011-03-29 Mytrak Health System Inc. Hydraulic exercise machine system and methods thereof
US20070232453A1 (en) * 2004-10-22 2007-10-04 Mytrak Health System Inc. Fatigue and Consistency in Exercising
US8199018B2 (en) * 2005-10-31 2012-06-12 Toyota Jidosha Kabushiki Kaisha Detector for state of person
US20100076273A1 (en) * 2005-10-31 2010-03-25 Toyota Jidosha Kabushiki Kaisha Detector for state of person
WO2012040388A3 (en) * 2010-09-21 2012-06-14 Somaxis Incorporated Metrics and algorithms for interpretation of muscular use
US9131888B2 (en) 2010-09-21 2015-09-15 Alexander B. Grey Metrics and algorithms for interpretation of muscular use
WO2012040388A2 (en) * 2010-09-21 2012-03-29 Somaxis Incorporated Metrics and algorithms for interpretation of muscular use
US20130225940A1 (en) * 2010-10-29 2013-08-29 Delta Tooling Co., Ltd. Biological body state estimation device and computer program
US9622708B2 (en) * 2010-10-29 2017-04-18 Delta Tooling Co., Ltd. Biological body state estimation device and computer program
US20120184871A1 (en) * 2011-01-14 2012-07-19 Seungjin Jang Exercise monitor and method for monitoring exercise
US9114255B1 (en) 2011-06-17 2015-08-25 Customkynetics, Inc. Exercise device for use with electrical stimulation and related methods
WO2013140030A1 (en) * 2012-03-23 2013-09-26 Juno Medical Llc Measuring device and method for indicating level of fatigue
US9339213B2 (en) 2012-03-23 2016-05-17 Juno Medical Llc Measuring device and method for indicating level of fatigue
US9081890B2 (en) 2012-11-13 2015-07-14 Daegu Gyeongbyk Institute of Science and Technology Rehabilitation training system and method
US20140364701A1 (en) * 2013-06-06 2014-12-11 Leonid Masakov Apparatus and method for assessing functional state of body systems including electromyography
US20140364702A1 (en) * 2013-06-06 2014-12-11 Valeriy Nasedkin Apparatus and method for functional state and/or performance assessment and training program adjustment
US11276488B2 (en) 2013-06-06 2022-03-15 Omegawave Oy System and method for functional state and / or performance assessment and training program adjustment
US20150099945A1 (en) * 2013-10-07 2015-04-09 Wahoo Fitness Llc Activity monitoring computing device and system
US10285625B2 (en) * 2013-10-07 2019-05-14 Wahoo Fitness Llc Activity monitoring computing device and system
CN105520733A (en) * 2014-10-17 2016-04-27 三星电子株式会社 Method and apparatus for extracting anaerobic threshold
US20160106365A1 (en) * 2014-10-17 2016-04-21 Samsung Electronics Co., Ltd. Method and apparatus for extracting anaerobic threshold
EP3235540A4 (en) * 2014-12-09 2018-08-01 Beijing Galaxy Raintai Technology Co., Ltd. Auxiliary device for training and auxiliary method for training
US10244976B2 (en) 2015-06-22 2019-04-02 Fibrux Oy Device for measuring muscle signals
WO2016207471A1 (en) * 2015-06-22 2016-12-29 Fibrux Oy Device for measuring muscle signals
US10490051B2 (en) 2016-02-05 2019-11-26 Logitech Europe S.A. Method and system for detecting fatigue in an athlete
US20170312576A1 (en) * 2016-04-02 2017-11-02 Senthil Natarajan Wearable Physiological Sensor System for Training and Therapeutic Purposes
US11406558B2 (en) 2016-04-25 2022-08-09 Preactive Technologies Inc. Reducing brain injury by limiting brain motion during sudden deceleration or acceleration of the head
US11324949B2 (en) * 2016-06-15 2022-05-10 Eleway Industries Inc. Systems and methods for electrical muscle stimulation
US20190290181A1 (en) * 2016-07-11 2019-09-26 Strive Tech Inc. Analytics System for Detecting Athletic Fatigue, and Associated Methods
US11471085B2 (en) * 2016-07-11 2022-10-18 Strive Tech Inc. Algorithms for detecting athletic fatigue, and associated methods
CN109716443A (en) * 2016-07-12 2019-05-03 Hhs株式会社 Utilize the exercise management method and system of electromyography transducer
EP3290084A1 (en) * 2016-08-30 2018-03-07 Panasonic Intellectual Property Management Co., Ltd. Control device for electrical stimulation apparatus, electrical stimulation apparatus, and pedaling exercise system
US20200015700A1 (en) * 2018-07-15 2020-01-16 Ifgcure Holdings, Llc Biometric electromyography sensor device for fatigue monitoring and injury prevention and methods for using same
US10779748B2 (en) * 2018-07-15 2020-09-22 Ifgcure Holdings, Llc Biometric electromyography sensor device for fatigue monitoring and injury prevention and methods for using same
CN109259762A (en) * 2018-11-02 2019-01-25 郑州大学 A kind of muscular fatigue comprehensive test device based on multivariate data fusion
WO2021193035A1 (en) * 2020-03-27 2021-09-30 テルモ株式会社 Electrostimulation system
US11864898B2 (en) 2020-11-06 2024-01-09 Myocene Muscle fatigue determination method and system
CN115281676A (en) * 2022-10-08 2022-11-04 齐鲁工业大学 Fatigue detection method based on GRU neural network and ECG signal
CN115363604A (en) * 2022-10-19 2022-11-22 山东海天智能工程有限公司 Electrode discharge automatic regulating system based on electroencephalogram signals, medium and electronic equipment
CN115985464A (en) * 2023-03-17 2023-04-18 山东大学齐鲁医院 Muscle fatigue degree classification method and system based on multi-modal data fusion
CN115985463A (en) * 2023-03-17 2023-04-18 山东大学齐鲁医院 Wearable device-based method and system for predicting muscle fatigue degree in real time

Also Published As

Publication number Publication date
KR100624424B1 (en) 2006-09-19
KR20050117253A (en) 2005-12-14
US20090240305A1 (en) 2009-09-24
US8620439B2 (en) 2013-12-31

Similar Documents

Publication Publication Date Title
US8620439B2 (en) Apparatus controlling electrical stimulation and/or health training/monitoring
US7648441B2 (en) Self-contained real-time gait therapy device
US9149222B1 (en) Enhanced system and method for assessment of disequilibrium, balance and motion disorders
US9526946B1 (en) Enhanced system and method for vibrotactile guided therapy
WO2020158904A1 (en) Heart rehabilitation assistance device and heart rehabilitation assistance method
US7914420B2 (en) Sensing applications for exercise machines
EP1145682A2 (en) Patient gait rehabilitation device
US9393171B2 (en) Vibrating footboard
JP2009516565A (en) Walking exercise equipment including exercise prescription function
Song et al. A new postural balance control system for rehabilitation training based on virtual cycling
JP2017109062A (en) Walking training system and walking training device
US7431703B2 (en) Apparatus and method for measuring and monitoring range of motion of the lumbar spine
JP4832914B2 (en) Muscle fatigue evaluation device
KR20200084669A (en) Smart trainer system for strengthening the balancing and deficit muscles of peopoe who are weak in walking
KR101032673B1 (en) System for three-dimensional posture rehabilitation through analyzing bio-electrical signal of muscles
KR101030444B1 (en) Method and apparatus for calculating physical strength by using a walking
WO2013030709A2 (en) Portable device, system and method for measuring a caloric expenditure of a person's physical activity
JP2002153430A (en) Exercise therapy supporting device
JP4767405B2 (en) Health condition judging method and health condition judging device
KR101675510B1 (en) Apparatus of exercise medical therapy for active type
Avvari et al. Gait analysis: an effective tool to measure human performance
KR102528506B1 (en) Rehabilitation status monitoring system using analysis of exercise condition and electroencephalogram
JPH0938260A (en) Training device for running
US20230414131A1 (en) Wireless and retrofittable in-shoe system for real-time estimation of kinematic and kinetic gait parameters
JP5059906B2 (en) Physical condition judgment method

Legal Events

Date Code Title Description
AS Assignment

Owner name: SAMSUNG ELECTRONICS CO., LTD., KOREA, REPUBLIC OF

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:LEE, JEONG-HWAN;SHIN, KON-SOO;HAN, WAN-TAEK;AND OTHERS;REEL/FRAME:016954/0383

Effective date: 20050905

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION