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 approachInfo
- 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
Links
- 208000029078 coronary artery disease Diseases 0.000 title abstract 7
- 238000001514 detection method Methods 0.000 title abstract 5
- 238000000034 method Methods 0.000 title abstract 4
- 230000004927 fusion Effects 0.000 title abstract 3
- 238000010801 machine learning Methods 0.000 abstract 1
- 231100000430 skin reaction Toxicity 0.000 abstract 1
Classifications
-
- 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
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02405—Determining heart rate variability
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, 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
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0531—Measuring skin impedance
- A61B5/0533—Measuring galvanic skin response
-
- 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]
-
- 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
-
- 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
- A61B5/7203—Signal processing specially adapted for physiological signals or for diagnostic purposes for noise prevention, reduction or removal
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B7/00—Instruments for auscultation
- A61B7/02—Stethoscopes
- A61B7/04—Electric stethoscopes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N7/00—Computing arrangements based on specific mathematical models
- G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT 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
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)
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)
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 |
-
2018
- 2018-02-07 EP EP18155457.7A patent/EP3363351B1/en active Active
- 2018-02-12 AU AU2018201007A patent/AU2018201007A1/en not_active Abandoned
- 2018-02-12 SG SG10201801189QA patent/SG10201801189QA/en unknown
- 2018-02-13 CN CN201810149380.3A patent/CN108523869B/en active Active
- 2018-02-13 US US15/895,353 patent/US11083416B2/en active Active
- 2018-02-13 JP JP2018023026A patent/JP6909741B2/en active Active
-
2020
- 2020-02-21 AU AU2020201313A patent/AU2020201313B2/en active Active
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 |