CN111031900B - 用于对心律失常相关心跳进行分类的系统和方法 - Google Patents

用于对心律失常相关心跳进行分类的系统和方法 Download PDF

Info

Publication number
CN111031900B
CN111031900B CN201880054110.2A CN201880054110A CN111031900B CN 111031900 B CN111031900 B CN 111031900B CN 201880054110 A CN201880054110 A CN 201880054110A CN 111031900 B CN111031900 B CN 111031900B
Authority
CN
China
Prior art keywords
beat
matrix
column
real
heartbeat
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.)
Active
Application number
CN201880054110.2A
Other languages
English (en)
Chinese (zh)
Other versions
CN111031900A (zh
Inventor
泽维尔·伊巴涅斯卡塔拉
西尔维亚·奥廷冈萨雷斯
米格尔·科尔内莱斯索里亚诺
克劳迪奥·鲁本·米拉索桑托斯
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.)
Smart Solutions Technologies SL
Original Assignee
Smart Solutions Technologies SL
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 Smart Solutions Technologies SL filed Critical Smart Solutions Technologies SL
Publication of CN111031900A publication Critical patent/CN111031900A/zh
Application granted granted Critical
Publication of CN111031900B publication Critical patent/CN111031900B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006—ECG or EEG signals
    • 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 for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/024—Measuring pulse rate or heart rate
    • A61B5/0245—Measuring pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
    • 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]
    • A61B5/333—Recording apparatus specially adapted therefor
    • 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
    • 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
    • A61B5/35—Detecting specific parameters of the electrocardiograph cycle by template matching
    • 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
    • A61B5/361—Detecting fibrillation
    • 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
    • A61B5/363—Detecting tachycardia or bradycardia
    • 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
    • A61B5/364—Detecting abnormal ECG interval, e.g. extrasystoles, ectopic heartbeats
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • 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
    • G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Cardiology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Physiology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Fuzzy Systems (AREA)
  • Psychiatry (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Databases & Information Systems (AREA)
  • Epidemiology (AREA)
  • Primary Health Care (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
CN201880054110.2A 2017-06-22 2018-06-21 用于对心律失常相关心跳进行分类的系统和方法 Active CN111031900B (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
ES201730826 2017-06-22
ESP201730826 2017-06-22
US15/638,263 2017-06-29
US15/638,263 US10383539B2 (en) 2017-06-22 2017-06-29 System and methods for classifying arrhythmia-related heartbeats
PCT/EP2018/066611 WO2018234468A1 (en) 2017-06-22 2018-06-21 SYSTEMS AND METHODS FOR CLASSIFYING CARDIAC BEATS HAVING ARRHYTHMIA

Publications (2)

Publication Number Publication Date
CN111031900A CN111031900A (zh) 2020-04-17
CN111031900B true CN111031900B (zh) 2021-11-09

Family

ID=64691219

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201880054110.2A Active CN111031900B (zh) 2017-06-22 2018-06-21 用于对心律失常相关心跳进行分类的系统和方法

Country Status (9)

Country Link
US (1) US10383539B2 (https=)
EP (1) EP3641628B1 (https=)
JP (1) JP7119012B2 (https=)
CN (1) CN111031900B (https=)
AU (1) AU2018287078A1 (https=)
ES (1) ES2908664T3 (https=)
IL (1) IL271649B (https=)
PL (1) PL3641628T3 (https=)
WO (1) WO2018234468A1 (https=)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101674793B (zh) * 2007-05-24 2013-10-02 花王株式会社 吸收性物品的正面片材、其制造方法以及吸收性物品
CN110520048A (zh) * 2017-03-28 2019-11-29 国立大学法人九州工业大学 情绪估计装置
ES3062889T3 (en) * 2019-09-18 2026-04-14 Tempus Ai Inc Ecg based future atrial fibrillation predictor systems and methods
CN113796871B (zh) * 2020-05-29 2024-06-14 上海微创电生理医疗科技股份有限公司 信号处理方法、装置、计算机设备、存储介质及标测系统
US20220068483A1 (en) * 2020-09-01 2022-03-03 Biosense Webster (Israel) Ltd. Arrhythmia classification for cardiac mapping
CN112686091B (zh) * 2020-11-23 2024-02-23 南京信息工程大学 基于深度神经网络的两步骤心律失常分类方法
WO2023032178A1 (en) * 2021-09-03 2023-03-09 Nec Corporation Determination device, determination method, and storage medium
EP4422499A1 (en) * 2021-10-28 2024-09-04 Boston Scientific Cardiac Diagnostics, Inc. Electrocardiogram wave segmentation using machine learning
JP2024132583A (ja) * 2023-03-17 2024-10-01 キヤノンメディカルシステムズ株式会社 医用画像診断装置、医用画像診断方法、およびプログラム

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011048592A1 (en) * 2009-10-20 2011-04-28 Widemed Ltd. Method and system for detecting cardiac arrhythmia

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
IL155955A0 (en) * 2003-05-15 2003-12-23 Widemed Ltd Adaptive prediction of changes of physiological/pathological states using processing of biomedical signal
US8262582B2 (en) * 2008-08-22 2012-09-11 Valtion Teknillinen Tutkimuskeskus Extraction of heart inter beat interval from multichannel measurements
US20110105928A1 (en) * 2009-11-05 2011-05-05 Newcardio, Inc. ECG Reconstruction For Atrial Activity Monitoring And Detection
US9808196B2 (en) 2010-11-17 2017-11-07 Smart Solutions Technologies, S.L. Sensors
US9254095B2 (en) * 2012-11-08 2016-02-09 Alivecor Electrocardiogram signal detection
JP6215341B2 (ja) * 2012-11-29 2017-10-18 カーディアック ペースメイカーズ， インコーポレイテッド 不整脈を識別するための方法及びシステム
US9468386B2 (en) * 2014-03-11 2016-10-18 Ecole polytechnique fédérale de Lausanne (EPFL) Method for detecting abnormalities in an electrocardiogram
WO2016077786A1 (en) * 2014-11-14 2016-05-19 Zoll Medical Corporation Medical premonitory event estimation
US9549681B2 (en) * 2014-11-18 2017-01-24 Siemens Medical Solutions Usa, Inc. Matrix-based patient signal analysis

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011048592A1 (en) * 2009-10-20 2011-04-28 Widemed Ltd. Method and system for detecting cardiac arrhythmia

Also Published As

Publication number Publication date
US20180368723A1 (en) 2018-12-27
PL3641628T3 (pl) 2022-04-04
EP3641628B1 (en) 2021-12-15
EP3641628A1 (en) 2020-04-29
WO2018234468A1 (en) 2018-12-27
US10383539B2 (en) 2019-08-20
JP2020528295A (ja) 2020-09-24
IL271649A (en) 2020-02-27
ES2908664T3 (es) 2022-05-03
AU2018287078A1 (en) 2020-02-13
JP7119012B2 (ja) 2022-08-16
CN111031900A (zh) 2020-04-17
IL271649B (en) 2022-05-01

Similar Documents

Publication Publication Date Title
CN111031900B (zh) 用于对心律失常相关心跳进行分类的系统和方法
US11134880B2 (en) Automatic method to delineate or categorize an electrocardiogram
JP7091451B2 (ja) 人工知能自己学習に基づく心電図自動解析方法、その解析方法の実行に用いられる装置、コンピュータプログラム製品及びコンピュータ読み取り可能な記憶媒体
EP3367897B1 (en) An automatic method to delineate or categorize an electrocardiogram
US11331034B2 (en) Automatic method to delineate or categorize an electrocardiogram
US9314177B2 (en) System and method of detecting abnormal movement of a physical object
CN108601540B (zh) 心房颤动检测系统及使用方法
CN113397555A (zh) 生理参数监测用c-lstm的心率失常分类算法
JP7672658B2 (ja) 心拍リズムを分析するための方法およびシステム
CN109009084B (zh) 多导联心电信号的qrs波群校验方法、装置及设备、介质
JP2021506421A (ja) 心房細動信号の識別方法、装置及び機器
Leutheuser et al. Comparison of real-time classification systems for arrhythmia detection on Android-based mobile devices
CN113520401A (zh) 心电信号的分类方法和装置
Wu et al. Personalizing a generic ECG heartbeat classification for arrhythmia detection: a deep learning approach
CN105902265A (zh) 一种房颤检测装置以及包括该装置的智能可穿戴设备
KR20140097039A (ko) 자동 결합 뉴런 네트워크를 이용한 심장부정맥 분류 방법 및 장치
Mayapur Classification of Arrhythmia from ECG Signals using MATLAB
Alfarhan et al. Wireless heart abnormality monitoring kit based on Raspberry Pi
CN115802946A (zh) 用于处理ecg数据的方法和系统
Mohammadjavad Intelligent Diagnosis of Heart Diseases Based on Electrocardiographic Signal.
Benarabi et al. High order statistics for ventricular ectopic beats detection
Pradeep et al. A Low Cost and Portable Electrocardiogram (ECG) for Predicting Arrhythmia
Mohammadjavad Journal of Advanced Biomedical Sciences
Islam et al. Real-Time Acquisition and Classification of Electrocardiogram Signal
HK40056510A (en) An automatic method to delineate or categorize an electrocardiogram

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant