SG10201800886TA - A cascaded binary classifier for identifying rhythms in a single-lead electrocardiogram (ecg) signal - Google Patents

A cascaded binary classifier for identifying rhythms in a single-lead electrocardiogram (ecg) signal

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Publication number
SG10201800886TA
SG10201800886TA SG10201800886TA SG10201800886TA SG10201800886TA SG 10201800886T A SG10201800886T A SG 10201800886TA SG 10201800886T A SG10201800886T A SG 10201800886TA SG 10201800886T A SG10201800886T A SG 10201800886TA SG 10201800886T A SG10201800886T A SG 10201800886TA
Authority
SG
Singapore
Prior art keywords
ecg
rhythms
signal
layer
classifier
Prior art date
Application number
SG10201800886TA
Other languages
English (en)
Inventor
Shreyasi Datta
Chetanya Puri
Ayan Mukherjee
Rohan Banerjee
Anirban Dutta Choudhury
Arijit Ukil
Soma Bandyopadhyay
Arpan Pal
Sundeep Khandelwal
Rituraj Singh
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 SG10201800886TA publication Critical patent/SG10201800886TA/en

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    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G06F18/2148—Generating training patterns; Bootstrap methods, e.g. bagging or boosting characterised by the process organisation or structure, e.g. boosting cascade
    • 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
    • A61B5/347—Detecting the frequency distribution of 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]
    • A61B5/346—Analysis of electrocardiograms
    • A61B5/349—Detecting specific parameters of the electrocardiograph cycle
    • A61B5/352—Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
    • 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
    • A61B5/366—Detecting abnormal QRS complex, e.g. widening
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/2431—Multiple classes
    • 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)
  • Cardiology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Public Health (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • General Health & Medical Sciences (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Signal Processing (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Mathematical Physics (AREA)
  • Fuzzy Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement And Recording Of Electrical Phenomena And Electrical Characteristics Of The Living Body (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
SG10201800886TA 2017-09-19 2018-02-01 A cascaded binary classifier for identifying rhythms in a single-lead electrocardiogram (ecg) signal SG10201800886TA (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
IN201721033210 2017-09-19

Publications (1)

Publication Number Publication Date
SG10201800886TA true SG10201800886TA (en) 2019-04-29

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SG10201800886TA SG10201800886TA (en) 2017-09-19 2018-02-01 A cascaded binary classifier for identifying rhythms in a single-lead electrocardiogram (ecg) signal

Country Status (6)

Country Link
US (1) US10750968B2 (ja)
EP (1) EP3456246A1 (ja)
JP (1) JP6786536B2 (ja)
CN (1) CN109522916B (ja)
AU (1) AU2018200751B2 (ja)
SG (1) SG10201800886TA (ja)

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WO2020086865A1 (en) * 2018-10-26 2020-04-30 Mayo Foundation For Medical Education And Research Neural networks for atrial fibrillation screening
CN109770862B (zh) * 2019-03-29 2022-03-08 广州视源电子科技股份有限公司 心电信号分类方法、装置、电子设备和存储介质
CN111743530A (zh) * 2019-03-29 2020-10-09 丽台科技股份有限公司 心电图信号判断装置及方法
CN109907753B (zh) * 2019-04-23 2022-07-26 杭州电子科技大学 一种多维度ecg信号智能诊断系统
EP3735894B1 (en) * 2019-05-09 2022-11-30 Tata Consultancy Services Limited Recurrent neural network architecture based classification of atrial fibrillation using single lead ecg
CN110226921B (zh) * 2019-06-27 2022-07-29 广州视源电子科技股份有限公司 心电信号检测分类方法、装置、电子设备和存储介质
CN110458245B (zh) * 2019-08-20 2021-11-02 图谱未来(南京)人工智能研究院有限公司 一种多标签分类模型训练方法、数据处理方法及装置
US20220313098A1 (en) * 2019-09-06 2022-10-06 Valencell, Inc. Wearable biometric waveform analysis systems and methods
CN110638430B (zh) * 2019-10-23 2022-08-09 苏州大学 级联神经网络ecg信号心律失常分类模型的搭建方法
CN112826514B (zh) * 2019-11-22 2022-07-22 华为技术有限公司 一种房颤信号的分类方法、装置、终端以及存储介质
CN111259820B (zh) * 2020-01-17 2023-05-05 上海乐普云智科技股份有限公司 一种基于r点的心搏数据分类方法和装置
KR102461702B1 (ko) * 2020-02-18 2022-11-01 주식회사 에이티센스 심전도 신호 처리 방법
EP3881767A1 (en) * 2020-03-19 2021-09-22 Tata Consultancy Services Limited Systems and methods for atrial fibrillation (af) and cardiac disorders detection from biological signals
CN111407261B (zh) * 2020-03-31 2024-05-21 京东方科技集团股份有限公司 生物信号的周期信息的测量方法及装置、电子设备
US11709844B2 (en) * 2020-09-11 2023-07-25 Volvo Car Corporation Computerized smart inventory search methods and systems using classification and tagging
CN112842342B (zh) * 2021-01-25 2022-03-29 北京航空航天大学 一种结合希尔伯特曲线和集成学习的心电磁信号分类方法
CN113052229B (zh) * 2021-03-22 2023-08-29 武汉中旗生物医疗电子有限公司 一种基于心电数据的心脏病症分类方法及装置
CN113177514B (zh) * 2021-05-20 2023-06-16 浙江波誓盾科技有限公司 无人机信号检测方法、装置及计算机可读存储介质
KR20230025959A (ko) * 2021-08-17 2023-02-24 주식회사 메디컬에이아이 딥러닝 알고리즘을 기반으로 복수개의 표준 심전도 데이터를 생성하는 방법
CN114469126B (zh) * 2022-03-09 2023-06-23 平安科技（深圳）有限公司 心电数据的分类处理方法、装置、存储介质及计算机设备
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AU2018200751A1 (en) 2019-04-04
EP3456246A1 (en) 2019-03-20
CN109522916A (zh) 2019-03-26
US20190082988A1 (en) 2019-03-21
JP6786536B2 (ja) 2020-11-18
AU2018200751B2 (en) 2020-04-02
CN109522916B (zh) 2023-04-28
US10750968B2 (en) 2020-08-25
JP2019055173A (ja) 2019-04-11

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