WO2001091627B1 - System and device for multi-scale analysis and representation of electrocardiographic data - Google Patents

System and device for multi-scale analysis and representation of electrocardiographic data

Info

Publication number
WO2001091627B1
WO2001091627B1 PCT/US2001/017362 US0117362W WO0191627B1 WO 2001091627 B1 WO2001091627 B1 WO 2001091627B1 US 0117362 W US0117362 W US 0117362W WO 0191627 B1 WO0191627 B1 WO 0191627B1
Authority
WO
WIPO (PCT)
Prior art keywords
changes
ecg
primary elements
analysis
unit
Prior art date
Application number
PCT/US2001/017362
Other languages
French (fr)
Other versions
WO2001091627A3 (en
WO2001091627A2 (en
Inventor
Vladimir Shusterman
Original Assignee
Vladimir Shusterman
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 Vladimir Shusterman filed Critical Vladimir Shusterman
Priority to DE60134010T priority Critical patent/DE60134010D1/en
Priority to EP01939644A priority patent/EP1284645B1/en
Priority to AU2001265140A priority patent/AU2001265140A1/en
Publication of WO2001091627A2 publication Critical patent/WO2001091627A2/en
Publication of WO2001091627A3 publication Critical patent/WO2001091627A3/en
Publication of WO2001091627B1 publication Critical patent/WO2001091627B1/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7232—Signal processing specially adapted for physiological signals or for diagnostic purposes involving compression of the physiological signal, e.g. to extend the signal recording period

Abstract

System comprised of a portable medical device (10) and method for registering electrocardiographic (ECG) signals, extracting and representing the most significant parameters at different levels of detail using the color-coded scales which are understandable to a lay person and a medical professional. Low, intermediate and high-resolution scales are defined according to the corresponding software and hardware resources. A low-resolution Scale I represents a small number of primary elements such as intervals between the heart beats, duration of PQ, QRS, and QT-intervals, amplitudes of P-, Q-, R-, S-, and T-waves. This real-time analysis is implemented in a portable device that requires minimum computational resources. The set of primary elements and their search criteria are adjusted for each ECG using intermediate or high-resolution levels. At the intermediate-resolution Scale II, serial changes in each of the said elements are determined using a mathematical decomposition into series of orthogonal basis functions and their coefficients. This scale is implemented using a specialized processor or a computer organizer. At the high-resolution Scale III, combined serial changes in all elements of the ECG are determined to provide complete information about the dynamics of the signal. This scale is implemented using a powerful processor, a network of computers or the Internet. The system (10) can be used for personal or group self-evaluation, emergency or routine ECG analysis, or continuous event, stress-test or bed-side monitoring.

Claims

AMENDED CLAIMS
[received by the International Bureau on 18 Februay 2002 (18 02 02), original claims 8, 13-15 and 19-27 replaced by new claims 8, 13-15, 19-29, remaining claims unchanged (7 pages)]
1 A method for dynamic analysis of electrocardiographic (ECG) data in at least two levels of detail, said method comprising- analyzing a limited number of primary elements in said ECG data in low resolution to detect one-time changes m such primary elements and thereby identify abnormal or unstable primary elements, analyzing said ECG data m high resolution using orthogonal mathematical decomposition to provide detailed characterization of serial changes in said abnormal or unstable primary elements; and adjusting said analyzing in low resolution based on said detailed characterization of serial changes m the primary elements.
2 A method as set forth in claim 1 in which said analyzing in high resolution further includes: combining a plurality of said serial changes m the abnormal or unstable primary elements and analyzing the combined changes using orthogonal mathematical decomposition; and selecting a combination of parameters for tracking the changes in said abnormal or unstable elements and sending information respecting the selected combination to said low-resolution analy sis for adjustment of momtoπng parameters.
3 A method as set forth in claim 1 in which said analyzing in high resolution comprises. forming a time series from said serial changes; characterizing said time seπes using Pπncipal Component Analysis (PCA) and generating PCA-coefficients indicative of both linear and nonlinear changes in the individual pattern; and determining the magnitude of said linear and nonlinear changes by using time varying mean and variance of said PCA-coefficients and determining the complexity of said linear and nonlinear changes by calculating the number of PCA- coefficients that exhibit substantially simultaneous changes
4. A method as set forth in claim 1 in which said analyzing m high resolution comprises: forming time series from said serial changes,
22 characterizing said time series using Principal Component Analysis (PCA) and generating PCA-coefficients indicative of both linear and nonlinear changes in the individual pattern; presenting said PCA-coefficients as a vector m n-dimensional space wherein n is the number of variables analyzed; and determining the magnitude and direction of the combined changes in the characteristic variables by the changes m the magnitude and direction of said n- dimensional vector.
5. A method as set forth m claim 1 in which said low level resolution includes comparing said primary elements with normal values for such primary elements, and representing deviation of primary elements from the normal values in a form understandable to a lay person.
6. A method as set forth m claim 5 that further comprises representing deviations of said primary elements from said normal values in a quantitative form for use by a medical professional.
7. A method as set forth m claim 1 which includes sounding an alarm when said low resolution detects an abnormal or unstable primary element.
8. An electrocardiographic (ECG) system for detection and analysis of serial changes in ECG signals for use by both lay persons and medical professionals, said system comprising: an acquisition unit for collecting ECG signals from a subject over a period of at least several seconds; a first analysis and processing unit for detecting a plurality of primary elements from said ECG signals and processing said primary elements to generate data respecting time intervals or amplitudes of said primary elements; a storage unit for storing reference values of said plurality of primary elements; a comparative unit for comparing said reference values with data newly received from said first analysis and processing unit and producing qualitative indicators and quantitative data of differences between said recorded data and said newly received data; an output unit for displaying said qualitative indicators m a form understandable by lay persons and quantitative data for medical professionals; and
23 a communications unit for sending quantitative data of said primary elements to a second analysis unit for processing and detailed analysis of serial changes m said ECG signals, said second analysis unit includes means for assessing small changes in serial ECG signal, comprising: means for characterizing time series of at least one primary element or index m said set of primary elements and indexes using Principal Component Analysis (PCA) and generating PCA coefficients indicative of both linear and nonlinear changes m the individual pattern; means for determining the magnitude of said changes in the characteristic variables by using time varying mean and variance of said PCA coefficients and determining the complexity of said changes by calculating the number of PCA coefficients that exhibit substantially simultaneous changes; means for presenting of said combination of PCA coefficients as a vector in n-dimensional space wherein n is the number of variables analyzed; and means for determining the magnitude and complexity of the changes m the combination of the characteristic variables by the changes in said n-dimensional vector.
9. An ECG system as set forth in claim 8 m which said first analysis unit includes means for receiving commands from said second analysis unit to adjust the primary elements to be detected from ECG signals.
10. An ECG system as set forth in claim 8 in which said output unit for qualitative representation includes a static screen for one-time ECG presentation and a dynamic screen for presenting changes in serial ECG recordings.
11. An ECG system as set forth in claim 8 in which said set of primary elements includes a complete set of characteristic fragments of the ECG signals and their parameters, said set of characteristic fragments including P, Q, R, S, T and U waves, ST- segment, PR, QRS and QT-mtervals, said parameters including the amplitude and duration of said waves and segments, and the time intervals between the heart beats.
12. An ECG system as set forth in claim 8 m which said set of primary elements includes the amplitudes of the T-wave and U-wave combined into a single index for patients with known electrolyte abnormalities.
13. An ECG system as set forth m claim 9 in which said output unit includes a screen for displaying said qualitative indicators of a minimal set of most significant
24 indexes to indicate a substantially abnormal ECG and a screen for quantitative representation that represents a complete set of characteristic fragments and their parameters.
14. An ECG system as set forth in claim 8 m which said first analysis and processing unit includes means for decomposing the ECG signal into a plurality of elements, and said decomposing means performs an orthogonal decomposition to extract the most significant information about the ECG signal.
15. An ECG system as set forth in claim 8 m which said first analysis and processing unit, storage unit and comparative unit are combined in one pocket size unit connected to said communication unit.
16. An ECG system as set forth m claim 15 m which said communication unit is wireless.
17. An ECG system as set forth m claim 15 m which said storage unit includes storage for a physiologic range of the primary elements and detector of error and noise to reject the data upon detection of the primary elements or the indexes beyond the physiologic range.
18. An ECG system as set forth in claim 8 in which said output unit includes a display for viewing the ECG signal.
19. A portable electrocardiograph for self-examination comprising: means for collecting and storing ECG signal from a subject; an analysis unit for processing the ECG signal in dependence upon a predetermined set of primary elements comprising a complete set of characteristic fragments of the ECG signals and their parameters, said set of characteristic fragments including P, Q, R, S, T; and TJ waves, ST-segment, PR, QRS and QT-mtervals, said parameters including the amplitude and duration of the said waves and segments, and the time intervals between the heart beats, said analysis unit further characterizing time series of at least one primary element in said set of primary elements and indexes using Principal Component Analysis (PCA) and generating PCA coefficients indicative of both linear and non-lmear changes in the individual pattern, determining the magnitude of said changes in the variables by using time varying means and variance of said PCA coefficients, determining the complexity of said changes by calculating the number of PCA coefficients that exhibit substantially simultaneous changes, presenting said combination of PCA coefficients as a vector in n-dimensional space wherein n is the number of variables analyzed, and determining the magnitude and
75 complexity of the changes in combination of the characteristic variables by changes in said n- dimensional vector, and comparing stored ECG signals with newly collected signals; means for representing the results of said analysis unit including a screen for qualitative representation with respect to a set of reference values, said screen for qualitative representation including a set of indicators understandable by a lay person and a screen for displaying quantitative data for use by medical professionals; and means for changing thresholds of said primary elements for the detection of said parameters by said means for collecting and storing ECG signals.
20. A portable electrocardiograph as set forth in claim 19 m which said means for collecting and storing is a pocket-size unit having wireless communication with the rest of the portable electrocardiograph.
21. A medical device as set forth in claim 19 in which said set of reference values includes characteristic values for said set of primary elements and indexes previously stored or default characteristic values.
22. An ECG system as set forth in claim 19 m which said means for representing includes an LCD display for viewing the ECG signal, said LCD display representing a range of normal or previously stored values for plurality of characteristic points and segments.
23. An elec trocardiographic (ECG) monitoring system having at least two levels of detail (or resolution) for displaying changes detected m ECG signals, said system comprising: an acquisition unit for receiving ECG signals generated by monitoring a subject for at least several seconds; an analysis module for detecting a plurality of primary elements from said ECG signals to detect one-time changes in such primary elements and thereby identify abnormal or unstable primary elements; a storage unit for storing said plurality of primary elements; a comparative unit for comparing said plurality of primary elements from said storage unit with a plurality of primary elements newly received from said analysis module and producing both qualitative and quantitative information representing the differences in the data; an output unit for displaying qualitative information understandable by a lay person and quantitative information useful to medical professionals; and
20
26 a communications unit for exchanging data with a remote analysis and comparison unit for high level analysis of said ECG signals, said remote analysis and comparison unit using orthogonal mathematical decomposition to provide detailed characterization of serial changes m said abnormal or unstable primary elements and wherein said analysis unit includes means for receiving commands from said remote analysis and comparison unit to reprogram said analysis units.
24. An ECG system as set forth in claim 23 m which said analysis module and said comparative unit analyze and compare data m at least three levels of detail.
25. An ECG system as set forth in claim 24 in which said analysis module includes means for using said commands from said remote analysis unit to modify the primary elements to be detected from said ECG signals.
26. A portable electrocardiographic (ECG) monitoring system having at least two levels of detail (or resolution) for displaying changes detected m ECG signals, said portable system comprising: an acquisition unit for receiving ECG signals generated by monitoring a subject for at least several seconds; an analysis unit for detecting a plurality of primary elements from said ECG signals to detect one-time changes m such primary elements and thereby identify abnormal or unstable primary elements, storing said plurality of primary elements, comparing said plurality of primary elements from said storage unit with a plurality of primary elements newly received from said analysis nodule and producing both qualitative and quantitative information representing the differences in the data, and using orthogonal mathematical decomposition to provide detailed characterization of serial changes in said abnormal or unstable primary elements in both low and high level resolution and adjusting said characterization in low level resolution based on the characterization of the serial changes in high level resolution; an output unit for displaying qualitative information understandable by lay persons and quantitative information useful to medical professionals; and a communications unit for sending data to a remote processing unit for analysis by medical professionals.
27. A monitoring system as set forth in claim 26 forms a time series from said serial changes, characterizes said time series using Principal Component Analysis (PCA) and generates PCA-coefficients indicative of both linear and nonlinear changes in the
27 individual pattern, determines the magnitude of said linear and nonlinear changes by using time varying mean and variance of said PCA-coefficients and determines the complexity of said linear and nonlinear changes by calculating the number of PCA-coefficients that exhibit substantially simultaneous changes.
28. A method as set forth in claim 1 in which said analyzing in high resolution comprises: forming a time series from said serial changes; characterizing said time series using Principal Component Analysis (PCA) and generating eigenvectors and eigenvalues indicative of both linear and nonlinear changes in the individual pattern; and determining the magnitude and complexity of said linear and nonlinear changes by comparing the corresponding eigenvectors and eigenvalues.
29. An ECG system as set forth in claim 8 in which said means for characterizing time seπes of at least one primary element or index also generates eigenvectors and eigenvalues.
28
PCT/US2001/017362 2000-05-30 2001-05-29 System and device for multi-scale analysis and representation of electrocardiographic data WO2001091627A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
DE60134010T DE60134010D1 (en) 2000-05-30 2001-05-29 ROKARDIOGRAPHIC DATA BY MULTI-DISSOLUTION OF DATA
EP01939644A EP1284645B1 (en) 2000-05-30 2001-05-29 System and device for multi-scale analysis and representation of electrocardiographic data
AU2001265140A AU2001265140A1 (en) 2000-05-30 2001-05-29 System and device for multi-scale analysis and representation of electrocardiographic data

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US09/583,668 2000-05-30
US09/583,668 US6389308B1 (en) 2000-05-30 2000-05-30 System and device for multi-scale analysis and representation of electrocardiographic data

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WO2001091627A2 WO2001091627A2 (en) 2001-12-06
WO2001091627A3 WO2001091627A3 (en) 2002-04-04
WO2001091627B1 true WO2001091627B1 (en) 2002-06-27

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EP (1) EP1284645B1 (en)
AT (1) ATE394991T1 (en)
AU (1) AU2001265140A1 (en)
DE (1) DE60134010D1 (en)
WO (1) WO2001091627A2 (en)

Families Citing this family (142)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE4329898A1 (en) 1993-09-04 1995-04-06 Marcus Dr Besson Wireless medical diagnostic and monitoring device
US8409846B2 (en) 1997-09-23 2013-04-02 The United States Of America As Represented By The Department Of Veteran Affairs Compositions, methods and devices for maintaining an organ
US6389308B1 (en) * 2000-05-30 2002-05-14 Vladimir Shusterman System and device for multi-scale analysis and representation of electrocardiographic data
US20060122474A1 (en) 2000-06-16 2006-06-08 Bodymedia, Inc. Apparatus for monitoring health, wellness and fitness
US7689437B1 (en) 2000-06-16 2010-03-30 Bodymedia, Inc. System for monitoring health, wellness and fitness
MXPA02012643A (en) 2000-06-23 2004-09-10 Bodymedia Inc System for monitoring health, wellness and fitness.
US7941205B2 (en) * 2001-07-05 2011-05-10 Sigmed, Inc. System and method for separating cardiac signals
US7933642B2 (en) 2001-07-17 2011-04-26 Rud Istvan Wireless ECG system
US20030045804A1 (en) * 2001-08-31 2003-03-06 G.E. Medical Systems Information Technologies Method and apparatus for generating electrocardiogram precordial leads using a precordial central terminal
US7022072B2 (en) * 2001-12-27 2006-04-04 Medtronic Minimed, Inc. System for monitoring physiological characteristics
US6778852B2 (en) * 2002-03-14 2004-08-17 Inovise Medical, Inc. Color-coded ECG
US6901285B2 (en) * 2002-05-17 2005-05-31 David M. Schreck System and method for synthesizing leads of an electrocardiogram
AU2003246982A1 (en) * 2002-07-31 2004-02-16 Ferenc Harosi Ecg monitor with improved alarm detection
US20070100666A1 (en) * 2002-08-22 2007-05-03 Stivoric John M Devices and systems for contextual and physiological-based detection, monitoring, reporting, entertainment, and control of other devices
US7259906B1 (en) 2002-09-03 2007-08-21 Cheetah Omni, Llc System and method for voice control of medical devices
CA2817028A1 (en) * 2002-10-09 2004-04-22 Bodymedia, Inc. Method and apparatus for auto journaling of continuous or discrete body states utilizing physiological and/or contextual parameters
US20090177068A1 (en) 2002-10-09 2009-07-09 Stivoric John M Method and apparatus for providing derived glucose information utilizing physiological and/or contextual parameters
US7031765B2 (en) 2002-11-11 2006-04-18 Medtronic, Inc Algorithms for detecting atrial arrhythmias from discriminatory signatures of ventricular cycle lengths
US7117108B2 (en) * 2003-05-28 2006-10-03 Paul Ernest Rapp System and method for categorical analysis of time dependent dynamic processes
EP1680017B1 (en) * 2003-07-11 2013-01-09 C.R. Bard, Inc. Multi-color overlay system for processing and displaying electrocardiac signals
US7212850B2 (en) 2003-11-26 2007-05-01 Cardionet, Inc. System and method for processing and presenting arrhythmia information to facilitate heart arrhythmia identification and treatment
US20060247693A1 (en) 2005-04-28 2006-11-02 Yanting Dong Non-captured intrinsic discrimination in cardiac pacing response classification
US7774064B2 (en) 2003-12-12 2010-08-10 Cardiac Pacemakers, Inc. Cardiac response classification using retriggerable classification windows
US8521284B2 (en) 2003-12-12 2013-08-27 Cardiac Pacemakers, Inc. Cardiac response classification using multisite sensing and pacing
EP1543770A1 (en) * 2003-12-19 2005-06-22 Aalborg Universitet A system and a method for analysing an ECG signal
US7477936B2 (en) * 2003-12-19 2009-01-13 Aalborg Universitet System and a method for analyzing ECG curvature
CA2560323C (en) * 2004-03-22 2014-01-07 Bodymedia, Inc. Non-invasive temperature monitoring device
JP2005285001A (en) * 2004-03-30 2005-10-13 Sunstar Inc Health support method and its system
US7058444B2 (en) * 2004-04-05 2006-06-06 Hewlett-Packard Development Company, L.P. Computer method and system for reading and analyzing ECG signals
US7072709B2 (en) * 2004-04-15 2006-07-04 Ge Medical Information Technologies, Inc. Method and apparatus for determining alternans data of an ECG signal
US7706866B2 (en) 2004-06-24 2010-04-27 Cardiac Pacemakers, Inc. Automatic orientation determination for ECG measurements using multiple electrodes
IL163796A0 (en) * 2004-08-30 2005-12-18 Gribova Orna A Device for detecting changes in blood glucose level or dardiovacular condition
US7797036B2 (en) 2004-11-30 2010-09-14 Cardiac Pacemakers, Inc. Cardiac activation sequence monitoring for ischemia detection
US7805185B2 (en) 2005-05-09 2010-09-28 Cardiac Pacemakers, In. Posture monitoring using cardiac activation sequences
US7509170B2 (en) 2005-05-09 2009-03-24 Cardiac Pacemakers, Inc. Automatic capture verification using electrocardiograms sensed from multiple implanted electrodes
US7917196B2 (en) 2005-05-09 2011-03-29 Cardiac Pacemakers, Inc. Arrhythmia discrimination using electrocardiograms sensed from multiple implanted electrodes
US7890159B2 (en) 2004-09-30 2011-02-15 Cardiac Pacemakers, Inc. Cardiac activation sequence monitoring and tracking
US7457664B2 (en) 2005-05-09 2008-11-25 Cardiac Pacemakers, Inc. Closed loop cardiac resynchronization therapy using cardiac activation sequence information
US9055740B2 (en) 2004-10-07 2015-06-16 Transmedics, Inc. Systems and methods for ex-vivo organ care
US9301519B2 (en) * 2004-10-07 2016-04-05 Transmedics, Inc. Systems and methods for ex-vivo organ care
US8304181B2 (en) 2004-10-07 2012-11-06 Transmedics, Inc. Method for ex-vivo organ care and for using lactate as an indication of donor organ status
WO2006076498A2 (en) 2005-01-13 2006-07-20 Welch Allyn, Inc. Vital signs monitor
US7702502B2 (en) 2005-02-23 2010-04-20 Digital Intelligence, L.L.C. Apparatus for signal decomposition, analysis and reconstruction
US9530425B2 (en) 2005-02-23 2016-12-27 Vios Medical Singapore Pte. Ltd. Method and apparatus for signal decomposition, analysis, reconstruction and tracking
US7392086B2 (en) 2005-04-26 2008-06-24 Cardiac Pacemakers, Inc. Implantable cardiac device and method for reduced phrenic nerve stimulation
US20070038137A1 (en) * 2005-05-26 2007-02-15 Inovise Medical, Inc. Cardio-function cafeteria system and methodology
US9078428B2 (en) 2005-06-28 2015-07-14 Transmedics, Inc. Systems, methods, compositions and solutions for perfusing an organ
KR100701617B1 (en) * 2005-09-08 2007-03-30 삼성전자주식회사 Method and apparatus for collecting data
CN102908130B (en) 2005-11-29 2015-04-22 风险获利有限公司 Device for monitoring human health
US20110034782A1 (en) * 2005-11-30 2011-02-10 Fujikin Corporation Apparatus for body surface stimulation treatment, program for body surface stimulation treatment, and computer-readable recording medium having recorded the same
CN101657147A (en) * 2006-03-01 2010-02-24 G.R.因莱特蒙有限公司 Be used to measure the apparatus and method of the parameter that is associated with electrochemical process
CA2881613C (en) * 2006-04-19 2017-11-14 Stanley Kyi Systems and methods for ex vivo organ care
US8527048B2 (en) 2006-06-29 2013-09-03 Cardiac Pacemakers, Inc. Local and non-local sensing for cardiac pacing
US7572232B2 (en) * 2006-07-24 2009-08-11 Cardiac Pacemakers, Inc. Cardiac signal display and event detection using multiresolution Z-score transform
US8209013B2 (en) 2006-09-14 2012-06-26 Cardiac Pacemakers, Inc. Therapeutic electrical stimulation that avoids undesirable activation
US7840259B2 (en) * 2006-11-30 2010-11-23 General Electric Company Method and system for electrocardiogram evaluation
CA2677087A1 (en) * 2007-02-05 2008-08-14 Andrew Corporation System and method for optimizing location estimate of mobile unit
US20090006457A1 (en) * 2007-02-16 2009-01-01 Stivoric John M Lifeotypes
US7949388B1 (en) 2007-03-16 2011-05-24 Pacesetter, Inc. Methods and systems to characterize ST segment variation over time
US9457179B2 (en) 2007-03-20 2016-10-04 Transmedics, Inc. Systems for monitoring and applying electrical currents in an organ perfusion system
US20100217144A1 (en) * 2007-06-28 2010-08-26 Arenare Brian Diagnostic and predictive system and methodology using multiple parameter electrocardiography superscores
US8265736B2 (en) 2007-08-07 2012-09-11 Cardiac Pacemakers, Inc. Method and apparatus to perform electrode combination selection
US20090043218A1 (en) * 2007-08-07 2009-02-12 Warner Robert A Tachyarrhythmia detection, differentiation and assessment
US9037239B2 (en) 2007-08-07 2015-05-19 Cardiac Pacemakers, Inc. Method and apparatus to perform electrode combination selection
US8469897B2 (en) * 2007-10-15 2013-06-25 Pacesetter, Inc. Method and system for tracking quality of life in patients with angina
DE102007057169A1 (en) * 2007-11-26 2009-05-28 Helmut Rauer Diagnostic machine for web-based sensor- and evaluation system, has personal-computer-based processor, where machine supplies processed data into diagnostic- and management center over secured internet connection
US10750738B2 (en) * 2008-01-31 2020-08-25 Transmedics, Inc. Systems and methods for ex vivo lung care
EP2254661B1 (en) 2008-02-14 2015-10-07 Cardiac Pacemakers, Inc. Apparatus for phrenic stimulation detection
US20100130879A1 (en) * 2008-09-08 2010-05-27 Saad Specialist Hospital Co. Apparatus for processing data derived from a heart pulse monitoring device
US8321014B2 (en) 2008-10-06 2012-11-27 Cardiac Pacemakers, Inc. Dynamic cardiac resynchronization therapy by tracking intrinsic conduction
CA2741043C (en) * 2008-11-05 2014-03-25 Nellcor Puritan Bennett Llc System and method for facilitating observation of monitored physiologic data
US9370664B2 (en) * 2009-01-15 2016-06-21 Boston Scientific Neuromodulation Corporation Signaling error conditions in an implantable medical device system using simple charging coil telemetry
US9655518B2 (en) 2009-03-27 2017-05-23 Braemar Manufacturing, Llc Ambulatory and centralized processing of a physiological signal
US9706956B2 (en) 2009-11-03 2017-07-18 Vivaquant Llc Method and apparatus for assessing cardiac and/or mental health
US8632465B1 (en) 2009-11-03 2014-01-21 Vivaquant Llc Physiological signal denoising
US8478389B1 (en) 2010-04-23 2013-07-02 VivaQuant, LLC System for processing physiological data
US9408549B2 (en) 2009-11-03 2016-08-09 Vivaquant Llc Detecting fiducial points in physiological signals
US9339202B2 (en) 2009-11-03 2016-05-17 Vivaquant Llc System for processing physiological data
US9414786B1 (en) 2009-11-03 2016-08-16 Vivaquant Llc ECG sensing with noise filtering
US9314181B2 (en) 2009-11-03 2016-04-19 Vivaquant Llc Method and apparatus for detection of heartbeat characteristics
US8433395B1 (en) 2009-11-03 2013-04-30 Vivaquant Llc Extraction of cardiac signal data
US8688202B2 (en) 2009-11-03 2014-04-01 Vivaquant Llc Method and apparatus for identifying cardiac risk
US8543195B1 (en) 2009-11-03 2013-09-24 VivaQuant, LLC ECG sensing with noise filtering
US9492096B2 (en) 2009-11-03 2016-11-15 Vivaquant Llc ECG sensing apparatuses, systems and methods
US9072438B2 (en) 2009-11-03 2015-07-07 Vivaquant Llc Method and apparatus for identifying cardiac risk
US9008762B2 (en) 2009-11-03 2015-04-14 Vivaquant Llc Method and apparatus for identifying cardiac risk
US8233972B2 (en) * 2010-02-12 2012-07-31 Siemens Medical Solutions Usa, Inc. System for cardiac arrhythmia detection and characterization
AU2011252998B2 (en) 2010-05-12 2015-08-27 Irhythm Technologies, Inc. Device features and design elements for long-term adhesion
US9414758B1 (en) 2011-01-12 2016-08-16 Vivaquant Llc Apparatus, system and methods for sensing and processing physiological signals
US20120246189A1 (en) * 2011-03-23 2012-09-27 Malu Castellanos Comparing histograms
CN114375945A (en) 2011-04-14 2022-04-22 特兰斯迈迪茨公司 Organ care solution for ex vivo machine perfusion of donor lungs
WO2012142432A1 (en) 2011-04-15 2012-10-18 Mrn Partners Llp Remote health monitoring system
US9402554B2 (en) 2011-09-23 2016-08-02 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information from a photoplethysmograph
US8880576B2 (en) 2011-09-23 2014-11-04 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information from a photoplethysmograph
US9119597B2 (en) 2011-09-23 2015-09-01 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information from a photoplethysmograph
US9693709B2 (en) 2011-09-23 2017-07-04 Nellcot Puritan Bennett Ireland Systems and methods for determining respiration information from a photoplethysmograph
US9675274B2 (en) 2011-09-23 2017-06-13 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information from a photoplethysmograph
US9693736B2 (en) 2011-11-30 2017-07-04 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information using historical distribution
US8755871B2 (en) 2011-11-30 2014-06-17 Covidien Lp Systems and methods for detecting arrhythmia from a physiological signal
US9247896B2 (en) 2012-01-04 2016-02-02 Nellcor Puritan Bennett Ireland Systems and methods for determining respiration information using phase locked loop
WO2013118398A1 (en) * 2012-02-08 2013-08-15 国立大学法人九州工業大学 Biological information processing device, biological information processing system, biological information compression method, and biological information compression processing program
US20130253375A1 (en) * 2012-03-21 2013-09-26 Henry Nardus Dreifus Automated Method Of Detecting Neuromuscular Performance And Comparative Measurement Of Health Factors
WO2013148182A1 (en) 2012-03-27 2013-10-03 The University Of Vermont And State Agricultural College Cardiac pacemaker and uses thereof
US8974115B2 (en) 2012-04-27 2015-03-10 Kinsa, Inc. Temperature measurement system and method
US9179876B2 (en) 2012-04-30 2015-11-10 Nellcor Puritan Bennett Ireland Systems and methods for identifying portions of a physiological signal usable for determining physiological information
US8838436B2 (en) 2012-07-25 2014-09-16 Aro, Inc. Labeling context slices to produce a storyline from mobile device data
US20140172368A1 (en) * 2012-12-17 2014-06-19 Exxonmobil Research And Engineering Company Flame instability detection and identification in industrial furnaces
KR102145450B1 (en) 2013-01-24 2020-08-18 아이리듬 테크놀로지스, 아이엔씨 Physiological monitoring device
US9560978B2 (en) 2013-02-05 2017-02-07 Covidien Lp Systems and methods for determining respiration information from a physiological signal using amplitude demodulation
US9554712B2 (en) 2013-02-27 2017-01-31 Covidien Lp Systems and methods for generating an artificial photoplethysmograph signal
US9687159B2 (en) 2013-02-27 2017-06-27 Covidien Lp Systems and methods for determining physiological information by identifying fiducial points in a physiological signal
US10022068B2 (en) 2013-10-28 2018-07-17 Covidien Lp Systems and methods for detecting held breath events
WO2015105787A1 (en) 2014-01-07 2015-07-16 Covidien Lp Apnea analysis system and method
US9901308B2 (en) 2014-02-20 2018-02-27 Covidien Lp Systems and methods for filtering autocorrelation peaks and detecting harmonics
CN113287600B (en) 2014-06-02 2022-08-19 特兰斯迈迪茨公司 Perfusion circuit and system for perfusion of isolated liver and system for preservation thereof
US10928970B2 (en) * 2014-07-18 2021-02-23 Apple Inc. User-interface for developing applications that apply machine learning
CN107205679B (en) 2014-10-31 2021-03-09 意锐瑟科技公司 Wireless physiological monitoring device and system
WO2016118771A1 (en) * 2015-01-23 2016-07-28 Data4Cure, Inc. System and method for drug target and biomarker discovery and diagnosis using a multidimensional multiscale module map
CN105054926A (en) * 2015-04-13 2015-11-18 深圳市飞马与星月科技研究有限公司 Electrocardiosignal feature information extraction method and device
US10194655B2 (en) 2015-09-09 2019-02-05 Transmedics, Inc. Aortic cannula for ex vivo organ care system
US9968274B2 (en) 2016-04-29 2018-05-15 Infobionic, Inc. Systems and methods for processing ECG data
USD794807S1 (en) 2016-04-29 2017-08-15 Infobionic, Inc. Health monitoring device with a display
USD794806S1 (en) 2016-04-29 2017-08-15 Infobionic, Inc. Health monitoring device
USD794805S1 (en) 2016-04-29 2017-08-15 Infobionic, Inc. Health monitoring device with a button
GB2561537B (en) * 2017-02-27 2022-10-12 Emteq Ltd Optical expression detection
US11103145B1 (en) 2017-06-14 2021-08-31 Vivaquant Llc Physiological signal monitoring and apparatus therefor
WO2020031105A2 (en) * 2018-08-07 2020-02-13 Goldtech Sino Ltd Noninvasive systems and methods for continuous hemodynamic monitoring
US11432756B2 (en) * 2018-10-24 2022-09-06 Chi-Hua Foundation Multi-channel real-time cardiovascular performance evaluation system and method cardiovascular performance evaluation system and method
US11602311B2 (en) 2019-01-29 2023-03-14 Murata Vios, Inc. Pulse oximetry system
US11931142B1 (en) 2019-03-19 2024-03-19 VIVAQUANT, Inc Apneic/hypopneic assessment via physiological signals
US11580444B2 (en) 2019-04-16 2023-02-14 Apple Inc. Data visualization machine learning model performance
CA3171482C (en) 2020-02-12 2024-03-26 Irhythm Technologies, Inc Non-invasive cardiac monitor and methods of using recorded cardiac data to infer a physiological characteristic of a patient
US11309091B2 (en) 2020-03-18 2022-04-19 Kinsa Inc. Systems and methods for contagious illness surveillance and outbreak detection
US11246523B1 (en) 2020-08-06 2022-02-15 Irhythm Technologies, Inc. Wearable device with conductive traces and insulator
US11350864B2 (en) 2020-08-06 2022-06-07 Irhythm Technologies, Inc. Adhesive physiological monitoring device
CN112132965B (en) * 2020-09-25 2024-03-26 中国矿业大学 Multi-scale characterization method for rock-soil body hole-crack structure
RU2759404C1 (en) * 2020-11-26 2021-11-12 Федеральное государственное автономное образовательное учреждение высшего образования "Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского" Hardware and software complex for electrocardiographic measurements
DE102021100558B3 (en) 2021-01-13 2022-05-05 Oliver Hein Method and device for the technical support of the analysis of metrologically recorded signals that have a time- and space-dependent signal profile
CN112806977B (en) * 2021-02-05 2022-03-18 复旦大学 Physiological parameter measuring method based on multi-scale fusion network
CN114343659A (en) * 2022-01-05 2022-04-15 北京信息科技大学 Electrocardio characteristic signal extraction method, computer device and storage medium
WO2023187990A1 (en) * 2022-03-29 2023-10-05 日本電気株式会社 Electrocardiogram evaluation method
CN115153476B (en) * 2022-07-08 2023-06-06 安徽省立医院(中国科学技术大学附属第一医院) Sleep evaluation method and device based on multidimensional data, electronic equipment and medium

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4193393A (en) 1977-08-25 1980-03-18 International Bio-Medical Industries Diagnostic apparatus
US4679144A (en) 1984-08-21 1987-07-07 Q-Med, Inc. Cardiac signal real time monitor and method of analysis
JPH01305926A (en) 1988-06-02 1989-12-11 Medical Instr Japan Kk Portable type electrocardiogram recording and analyzing device
US5956013A (en) * 1992-02-28 1999-09-21 Hewlett-Packard Company Method and apparatus for synchronizing a continuous ECG waveform display with a display of superimposed heartbeats
US5724983A (en) 1994-08-01 1998-03-10 New England Center Hospitals, Inc. Continuous monitoring using a predictive instrument
US5501229A (en) 1994-08-01 1996-03-26 New England Medical Center Hospital Continuous monitoring using a predictive instrument
US6038469A (en) 1994-10-07 2000-03-14 Ortivus Ab Myocardial ischemia and infarction analysis and monitoring method and apparatus
US5967995A (en) 1998-04-28 1999-10-19 University Of Pittsburgh Of The Commonwealth System Of Higher Education System for prediction of life-threatening cardiac arrhythmias
US6389308B1 (en) * 2000-05-30 2002-05-14 Vladimir Shusterman System and device for multi-scale analysis and representation of electrocardiographic data
US7343247B2 (en) * 2001-07-30 2008-03-11 The Institute For Systems Biology Methods of classifying drug responsiveness using multiparameter analysis

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