SG10201801189QA - Method and system for detection of coronary artery disease in a person using a fusion approach - Google Patents

Method and system for detection of coronary artery disease in a person using a fusion approach

Info

Publication number
SG10201801189QA
SG10201801189QA SG10201801189QA SG10201801189QA SG10201801189QA SG 10201801189Q A SG10201801189Q A SG 10201801189QA SG 10201801189Q A SG10201801189Q A SG 10201801189QA SG 10201801189Q A SG10201801189Q A SG 10201801189QA SG 10201801189Q A SG10201801189Q A SG 10201801189QA
Authority
SG
Singapore
Prior art keywords
person
detection
coronary artery
artery disease
cad
Prior art date
Application number
SG10201801189QA
Inventor
Banerjee Rohan
Dutta Choudhury Anirban
Pal Arpan
Dilip Deshpande Parijat
Muthana Mandana Kayapanda
Reddy VEMPADA Ramu
Original Assignee
Tata Consultancy Services 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 Tata Consultancy Services Ltd filed Critical Tata Consultancy Services Ltd
Publication of SG10201801189QA publication Critical patent/SG10201801189QA/en

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • 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
    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • 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
    • A61B5/02405Determining heart rate variability
    • 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
    • A61B5/02416Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/053Measuring electrical impedance or conductance of a portion of the body
    • A61B5/0531Measuring skin impedance
    • A61B5/0533Measuring galvanic skin response
    • 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
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • 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
    • A61B5/318Heart-related electrical modalities, e.g. electrocardiography [ECG]
    • A61B5/346Analysis of electrocardiograms
    • A61B5/349Detecting specific parameters of the electrocardiograph cycle
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7203Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00Instruments for auscultation
    • A61B7/02Stethoscopes
    • A61B7/04Electric stethoscopes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Cardiology (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Pathology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Physiology (AREA)
  • Artificial Intelligence (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Acoustics & Sound (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Dermatology (AREA)
  • Databases & Information Systems (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Fuzzy Systems (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Pulmonology (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)

Abstract

METHOD AND SYSTEM FOR DETECTION OF CORONARY ARTERY DISEASE IN A PERSON USING A FUSION APPROACH A method and system for detection of coronary artery disease (CAD) in a person using a fusion approach has been described. The invention the detection of CAD in the person by capturing of a plurality of physiological signals such as phonocardiogram (PCG), photoplethysmograph (PPG), ECG, galvanic skin response (GSR) etc. from the person. A plurality of features arc cxtractcd from the physiological signals. The person is then classified as CAD or normal using the each of the features independently. The classification is done based on supervised machine learning technique. The output of the classification is then fused and used for the detection of the CAD in the person using a predefined criteria. [To be published with Figure ] 17
SG10201801189QA 2017-02-16 2018-02-12 Method and system for detection of coronary artery disease in a person using a fusion approach SG10201801189QA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN201721005479 2017-02-16

Publications (1)

Publication Number Publication Date
SG10201801189QA true SG10201801189QA (en) 2018-09-27

Family

ID=61192680

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201801189QA SG10201801189QA (en) 2017-02-16 2018-02-12 Method and system for detection of coronary artery disease in a person using a fusion approach

Country Status (6)

Country Link
US (1) US11083416B2 (en)
EP (1) EP3363351B1 (en)
JP (1) JP6909741B2 (en)
CN (1) CN108523869B (en)
AU (2) AU2018201007A1 (en)
SG (1) SG10201801189QA (en)

Families Citing this family (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10959681B2 (en) * 2017-04-19 2021-03-30 Vital Connect, Inc. Noninvasive blood pressure measurement and monitoring
JP2021536287A (en) * 2018-09-07 2021-12-27 ヴァイタル コネクト, インコーポレイテッドVital Connect, Inc. Screening devices, methods, and systems for structural heart disease
CN109480825B (en) * 2018-12-13 2021-08-06 武汉中旗生物医疗电子有限公司 Electrocardio data processing method and device
CN109480816A (en) * 2018-12-18 2019-03-19 安徽华米信息科技有限公司 Rhythm of the heart monitoring method, device, electronic equipment and computer readable storage medium
CN110236518B (en) * 2019-04-02 2020-12-11 武汉大学 Electrocardio and heart-shock signal combined classification method and device based on neural network
WO2020254882A1 (en) * 2019-06-18 2020-12-24 Analytics For Life Inc. Method and system to assess disease using dynamical analysis of cardiac and photoplethysmographic signals
US20210000356A1 (en) * 2019-07-02 2021-01-07 Tata Consultancy Services Limited Method and system for screening and monitoring of cardiac diseases
CN110580448B (en) * 2019-08-07 2022-12-13 北京必安必恒科技发展有限公司 Heart sound classification model construction and classification method and device
CN113384277B (en) * 2020-02-26 2022-09-20 京东方科技集团股份有限公司 Electrocardiogram data classification method and classification system
WO2022071028A1 (en) 2020-10-02 2022-04-07 コニカミノルタ株式会社 Biological condition diagnosis system
CN112967234B (en) * 2021-02-09 2022-12-09 复旦大学附属中山医院 Coronary artery functional physiology lesion mode quantitative evaluation method
CN112990029B (en) * 2021-03-23 2022-08-19 桂林电子科技大学 Device for evaluating venous vessel state
CN113080907B (en) * 2021-04-14 2022-10-25 贵州省人民医院 Pulse wave signal processing method and device
CN114764575B (en) * 2022-04-11 2023-02-28 山东省人工智能研究院 Multi-modal data classification method based on deep learning and time sequence attention mechanism

Family Cites Families (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5638823A (en) * 1995-08-28 1997-06-17 Rutgers University System and method for noninvasive detection of arterial stenosis
CN1304114A (en) * 1999-12-13 2001-07-18 中国科学院自动化研究所 Identity identification method based on multiple biological characteristics
US6801802B2 (en) * 2001-06-29 2004-10-05 Ge Medical Systems Information Technologies, Inc. System and method for selecting physiological data from a plurality of physiological data sources
JP2003275186A (en) * 2002-03-27 2003-09-30 Citizen Watch Co Ltd Electrocardiogram monitor device
JP4633374B2 (en) * 2004-03-10 2011-02-16 公立大学法人会津大学 Biosensor device
JP2009022639A (en) * 2007-07-23 2009-02-05 Mitsuba Corp Acceleration pulse wave measuring instrument
EP3058868A1 (en) * 2008-10-01 2016-08-24 Irumedi Co.,ltd. Cardiovascular analyzer
JP2011212364A (en) * 2010-04-01 2011-10-27 Sharp Corp Cardiac sound measuring device
US8675981B2 (en) * 2010-06-11 2014-03-18 Microsoft Corporation Multi-modal gender recognition including depth data
CN103841882B (en) * 2011-08-10 2017-06-23 Aum心血管股份有限公司 Device for detecting coronary artery disease, system, and method
WO2013036718A1 (en) * 2011-09-08 2013-03-14 Isis Innovation Ltd. Determining acceptability of physiological signals
US9307920B2 (en) * 2012-04-17 2016-04-12 Cardiac Pacemakers, Inc. Method and apparatus for automatic arrhythmia classification with confidence estimation
JP6036174B2 (en) * 2012-10-31 2016-11-30 株式会社Jvcケンウッド Heart sound information processing apparatus, heart sound information processing method, and heart sound information processing program
CN102944416B (en) * 2012-12-06 2015-04-01 南京匹瑞电气科技有限公司 Multi-sensor signal fusion technology-based fault diagnosis method for wind turbine blades
CN103116744B (en) * 2013-02-05 2016-04-13 浙江工业大学 Based on the false fingerprint detection method of MRF and SVM-KNN classification
US20140316292A1 (en) * 2013-04-19 2014-10-23 Semler Scientific, Inc. Circulation Monitoring System
US9805463B2 (en) * 2013-08-27 2017-10-31 Heartflow, Inc. Systems and methods for predicting location, onset, and/or change of coronary lesions
US9700219B2 (en) * 2013-10-17 2017-07-11 Siemens Healthcare Gmbh Method and system for machine learning based assessment of fractional flow reserve
US20150157273A1 (en) 2013-12-06 2015-06-11 Cardiac Pacemakers, Inc. Heart failure event prediction using classifier fusion
GB2526105A (en) * 2014-05-13 2015-11-18 Sensium Healthcare Ltd A method for confidence level determination of ambulatory HR algorithm based on a three-way rhythm classifier
US20160066859A1 (en) 2014-09-08 2016-03-10 Aliphcom Device-based activity classification using predictive feature analysis
US10114935B2 (en) * 2014-12-23 2018-10-30 Intel Corporation Technologies for login pattern based multi-factor authentication
EP3280319A1 (en) * 2015-04-08 2018-02-14 Koninklijke Philips N.V. Cardiovascular deterioration warning score
US11037070B2 (en) * 2015-04-29 2021-06-15 Siemens Healthcare Gmbh Diagnostic test planning using machine learning techniques
US9949714B2 (en) * 2015-07-29 2018-04-24 Htc Corporation Method, electronic apparatus, and computer readable medium of constructing classifier for disease detection
CN106096557B (en) * 2016-06-15 2019-01-18 浙江大学 A kind of semi-supervised learning facial expression recognizing method based on fuzzy training sample

Also Published As

Publication number Publication date
AU2020201313A1 (en) 2020-03-12
CN108523869B (en) 2024-04-09
JP6909741B2 (en) 2021-07-28
AU2020201313B2 (en) 2022-03-17
EP3363351C0 (en) 2023-08-16
JP2018130541A (en) 2018-08-23
US11083416B2 (en) 2021-08-10
US20180228444A1 (en) 2018-08-16
CN108523869A (en) 2018-09-14
EP3363351B1 (en) 2023-08-16
EP3363351A1 (en) 2018-08-22
AU2018201007A1 (en) 2018-08-30

Similar Documents

Publication Publication Date Title
SG10201801189QA (en) Method and system for detection of coronary artery disease in a person using a fusion approach
EP2931120B1 (en) A system and method to detect significant arrhythmic events through a photoplethysmogram (ppg) and accelerometer
Zhang et al. Driver drowsiness detection using multi-channel second order blind identifications
US10123741B2 (en) Cardiac condition detection
CN103829958B (en) A kind of method and device monitoring people's mood
Li et al. A EOG-based switch and its application for “start/stop” control of a wheelchair
TW200729014A (en) Method and system for detecting and classifying facial muscle movements
WO2019027517A3 (en) Systems, methods, and media for detecting and facilitating an effortful mental task by providing real-time deep brain stimulation
MX2019013798A (en) Algorithmic approach for estimation of respiration and heart rates.
CN106205001A (en) A kind of hospital security warning system
CA3082253A1 (en) Method and system for evaluating blood vessel
US20170142521A1 (en) Sound Channel Configuration Method and Apparatus and Earphone Device
Yousefi et al. Exploiting error-related potentials in cognitive task based BCI
WO2018011357A3 (en) Method and system to notify female fertility period
Sadr et al. Reducing false arrhythmia alarms in the ICU using multimodal signals and robust QRS detection
US20190069786A1 (en) Heart rate detection device and related systems and methods
Amiruddin et al. Feature reduction and arrhythmia classification via hybrid multilayered perceptron network
EP3570287A3 (en) Wearable medical (wm) system monitoring ecg signal of ambulatory patient for heart condition
Chen et al. Edge-Enabled Heart Rate Estimation from Multisensor PPG Signals
Krishna et al. Long range frontal/posterior phase synchronization during remembered pursuit task is impaired in schizophrenia
CN106137156A (en) A kind of clothing with health monitoring function
Shao et al. Design of intentional eye-blink signal acquisition and control system based on pressure sensor
Hoogkamer et al. Gait parameters affecting the perception threshold of locomotor symmetry: comment on Lauzière, et al.(2014)
SG10201809077TA (en) Systems and methods for optimizing a joint cost function and detecting neuro muscular profiles thereof
KR102403404B1 (en) Method and System for Recognizing Mental Stress Using Respiration and Electrocardiogram Signals