CN107981858A - 基于人工智能的心电图心搏自动识别分类方法 - Google Patents
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Abstract
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CN201711203546.7A CN107981858B (zh) | 2017-11-27 | 2017-11-27 | 基于人工智能的心电图心搏自动识别分类方法 |
EP18880577.4A EP3692901A4 (en) | 2017-11-27 | 2018-01-12 | METHOD FOR AUTOMATIC DETECTION AND CLASSIFICATION OF ELECTROCARDIOGRAM HEARTBATE BASED ON ARTIFICIAL INTELLIGENCE |
JP2020518512A JP7018133B2 (ja) | 2017-11-27 | 2018-01-12 | 人工知能に基づく心電図心拍自動識別分類方法 |
PCT/CN2018/072350 WO2019100562A1 (zh) | 2017-11-27 | 2018-01-12 | 基于人工智能的心电图心搏自动识别分类方法 |
US16/755,105 US11564612B2 (en) | 2017-11-27 | 2018-01-12 | Automatic recognition and classification method for electrocardiogram heartbeat based on artificial intelligence |
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CN201711203546.7A CN107981858B (zh) | 2017-11-27 | 2017-11-27 | 基于人工智能的心电图心搏自动识别分类方法 |
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CN109033990A (zh) * | 2018-07-02 | 2018-12-18 | 河南大学 | 基于类内类间距离的cnn模型心拍分类方法 |
CN109222963A (zh) * | 2018-11-21 | 2019-01-18 | 燕山大学 | 一种基于卷积神经网络的心电异常识别分类方法 |
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CN109602414A (zh) * | 2018-11-12 | 2019-04-12 | 安徽心之声医疗科技有限公司 | 一种多视角转换的心电信号数据增强方法 |
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Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040059237A1 (en) * | 2002-09-19 | 2004-03-25 | Narayan Sanjiv Mathur | Method and apparatus for classifying and localizing heart arrhythmias |
US20070260151A1 (en) * | 2006-05-03 | 2007-11-08 | Clifford Gari D | Method and device for filtering, segmenting, compressing and classifying oscillatory signals |
US7343197B2 (en) * | 2000-05-30 | 2008-03-11 | Vladimir Shusterman | Multi-scale analysis and representation of physiological and health data |
EP1802230B1 (en) * | 2004-10-20 | 2012-09-19 | CardioNet, Inc. | Monitoring physiological activity using partial state space reconstruction |
CN104367317A (zh) * | 2014-10-15 | 2015-02-25 | 北京理工大学 | 多尺度特征融合的心电图心电信号分类方法 |
WO2015051280A1 (en) * | 2013-10-03 | 2015-04-09 | University Of Washington Through Its Center For Commercialization | Apparatuses and methods for classification of electrocardiogram signals during cardiopulmonary resuscitation |
CN104970789A (zh) * | 2014-04-04 | 2015-10-14 | 中国科学院苏州纳米技术与纳米仿生研究所 | 心电图分类方法及系统 |
CN106108889A (zh) * | 2016-07-20 | 2016-11-16 | 杨平 | 基于深度学习算法的心电图分类方法 |
CN106214145A (zh) * | 2016-07-20 | 2016-12-14 | 杨平 | 一种基于深度学习算法的心电图分类方法 |
CN106901723A (zh) * | 2017-04-20 | 2017-06-30 | 济南浪潮高新科技投资发展有限公司 | 一种心电图异常自动诊断方法 |
CN107137072A (zh) * | 2017-04-28 | 2017-09-08 | 北京科技大学 | 一种基于1d卷积神经网络的室性异位搏动检测方法 |
CN107203692A (zh) * | 2017-05-09 | 2017-09-26 | 哈尔滨工业大学(威海) | 基于深度卷积神经网络的房颤检测的实现方法 |
CN107358196A (zh) * | 2017-07-12 | 2017-11-17 | 北京卫嘉高科信息技术有限公司 | 一种心搏类型的分类方法、装置及心电仪 |
Family Cites Families (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7742806B2 (en) | 2003-07-01 | 2010-06-22 | Cardiomag Imaging, Inc. | Use of machine learning for classification of magneto cardiograms |
KR101910576B1 (ko) | 2011-11-08 | 2018-12-31 | 삼성전자주식회사 | 인공신경망을 이용하여 신속하게 입력 패턴을 분류하는 방법 및 장치 |
CN102697492B (zh) | 2012-05-25 | 2014-08-06 | 长春华讯信息科技有限公司 | 一种实时分析心电数据的方法 |
US9408543B1 (en) | 2012-08-17 | 2016-08-09 | Analytics For Life | Non-invasive method and system for characterizing cardiovascular systems for all-cause mortality and sudden cardiac death risk |
US10408311B2 (en) | 2014-08-01 | 2019-09-10 | Piaggio & C. S.P.A. | Chain-tensioning rod |
CN104161510B (zh) | 2014-08-27 | 2016-03-23 | 电子科技大学 | 一种多级导联心电信号qrs波形识别方法 |
ES2953946T3 (es) | 2014-10-31 | 2023-11-17 | Irhythm Tech Inc | Sistema de monitorización fisiológica |
CN105092266B (zh) | 2015-09-17 | 2017-10-17 | 山东建筑大学 | 轮胎水滑性能动态测试实验台及实验方法 |
CN106725420A (zh) | 2015-11-18 | 2017-05-31 | 中国科学院苏州纳米技术与纳米仿生研究所 | 室性早搏识别方法及室性早搏识别系统 |
EP3379998A4 (en) | 2015-11-23 | 2019-07-31 | Mayo Foundation for Medical Education and Research | PROCESSING PHYSIOLOGICAL ELECTRICAL DATA FOR ANALYTICAL ASSESSMENTS |
CN105902266A (zh) | 2016-04-22 | 2016-08-31 | 江苏物联网研究发展中心 | 基于自组织神经网络的心电信号分类方法 |
-
2017
- 2017-11-27 CN CN201711203546.7A patent/CN107981858B/zh active Active
-
2018
- 2018-01-12 US US16/755,105 patent/US11564612B2/en active Active
- 2018-01-12 EP EP18880577.4A patent/EP3692901A4/en active Pending
- 2018-01-12 WO PCT/CN2018/072350 patent/WO2019100562A1/zh unknown
- 2018-01-12 JP JP2020518512A patent/JP7018133B2/ja active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7343197B2 (en) * | 2000-05-30 | 2008-03-11 | Vladimir Shusterman | Multi-scale analysis and representation of physiological and health data |
US20040059237A1 (en) * | 2002-09-19 | 2004-03-25 | Narayan Sanjiv Mathur | Method and apparatus for classifying and localizing heart arrhythmias |
EP1802230B1 (en) * | 2004-10-20 | 2012-09-19 | CardioNet, Inc. | Monitoring physiological activity using partial state space reconstruction |
US20070260151A1 (en) * | 2006-05-03 | 2007-11-08 | Clifford Gari D | Method and device for filtering, segmenting, compressing and classifying oscillatory signals |
WO2015051280A1 (en) * | 2013-10-03 | 2015-04-09 | University Of Washington Through Its Center For Commercialization | Apparatuses and methods for classification of electrocardiogram signals during cardiopulmonary resuscitation |
CN104970789A (zh) * | 2014-04-04 | 2015-10-14 | 中国科学院苏州纳米技术与纳米仿生研究所 | 心电图分类方法及系统 |
CN104367317A (zh) * | 2014-10-15 | 2015-02-25 | 北京理工大学 | 多尺度特征融合的心电图心电信号分类方法 |
CN106108889A (zh) * | 2016-07-20 | 2016-11-16 | 杨平 | 基于深度学习算法的心电图分类方法 |
CN106214145A (zh) * | 2016-07-20 | 2016-12-14 | 杨平 | 一种基于深度学习算法的心电图分类方法 |
CN106901723A (zh) * | 2017-04-20 | 2017-06-30 | 济南浪潮高新科技投资发展有限公司 | 一种心电图异常自动诊断方法 |
CN107137072A (zh) * | 2017-04-28 | 2017-09-08 | 北京科技大学 | 一种基于1d卷积神经网络的室性异位搏动检测方法 |
CN107203692A (zh) * | 2017-05-09 | 2017-09-26 | 哈尔滨工业大学(威海) | 基于深度卷积神经网络的房颤检测的实现方法 |
CN107358196A (zh) * | 2017-07-12 | 2017-11-17 | 北京卫嘉高科信息技术有限公司 | 一种心搏类型的分类方法、装置及心电仪 |
Non-Patent Citations (6)
Title |
---|
ACHARYA.UR,OH.SL,ET AL.: "A Deep Convolutional Neural N...el to Classify Heartbeats", 《COMPUTERS IN BIOLOGY AND MEDICINE》 * |
ISIN.A,OZDALILI.S: "Cardiac arrhythmia detection using deep learning", 《 PROCEDIA COMPUTER SCIENCE》 * |
KOSSAIFI.JEAN. ET AL: "Tensor Contraction Layers for Parsimonious Deep Nets", 《IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS》 * |
PATHRAWUT KLAYNIN.ET AL: "An electrocardiogram classification method based on neural network", 《 THE 6TH 2013 BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE》 * |
余乐、李阳光等: "基于卷积神经网络的软硬触觉感知方法研究", 《传感器与微系统》 * |
李锋等: "基于无监督学习的移动心电信号异常诊断研究", 《计算机科学》 * |
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