IL271649B - System and methods for classifying arrhythmia-related heartbeats - Google Patents
System and methods for classifying arrhythmia-related heartbeatsInfo
- Publication number
- IL271649B IL271649B IL271649A IL27164919A IL271649B IL 271649 B IL271649 B IL 271649B IL 271649 A IL271649 A IL 271649A IL 27164919 A IL27164919 A IL 27164919A IL 271649 B IL271649 B IL 271649B
- Authority
- IL
- Israel
- Prior art keywords
- cataloging
- heart rhythm
- rhythm disturbances
- palpitations
- palpitations associated
- Prior art date
Links
Classifications
-
- 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
- A61B5/0002—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
- A61B5/72—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
- A61B5/24—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
- A61B5/361—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
-
- 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
-
- 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
-
- 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
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)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| ES201730826 | 2017-06-22 | ||
| 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 |
|---|---|
| IL271649A IL271649A (en) | 2020-02-27 |
| IL271649B true IL271649B (en) | 2022-05-01 |
Family
ID=64691219
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| IL271649A IL271649B (en) | 2017-06-22 | 2019-12-22 | System and methods for classifying arrhythmia-related heartbeats |
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)
| 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 |
Family Cites Families (10)
| 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 |
| WO2011048592A1 (en) * | 2009-10-20 | 2011-04-28 | Widemed Ltd. | Method and system for detecting cardiac arrhythmia |
| 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 |
-
2017
- 2017-06-29 US US15/638,263 patent/US10383539B2/en active Active
-
2018
- 2018-06-21 ES ES18737169T patent/ES2908664T3/es active Active
- 2018-06-21 EP EP18737169.5A patent/EP3641628B1/en active Active
- 2018-06-21 PL PL18737169T patent/PL3641628T3/pl unknown
- 2018-06-21 CN CN201880054110.2A patent/CN111031900B/zh active Active
- 2018-06-21 AU AU2018287078A patent/AU2018287078A1/en not_active Abandoned
- 2018-06-21 JP JP2019571260A patent/JP7119012B2/ja active Active
- 2018-06-21 WO PCT/EP2018/066611 patent/WO2018234468A1/en not_active Ceased
-
2019
- 2019-12-22 IL IL271649A patent/IL271649B/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| CN111031900B (zh) | 2021-11-09 |
| 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 |
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