A review of arrhythmia detection based on electrocardiogram with artificial intelligence-Reference-Cited by-同舟云学术

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A review of arrhythmia detection based on electrocardiogram with artificial intelligence

Published:2022-07-03 Issue:7 Volume:19 Page:549-560
ISSN:1743-4440
Container-title:Expert Review of Medical Devices
language:en
Short-container-title:Expert Review of Medical Devices

Author:

Liu Jinlei¹^ORCID,Li Zhiyuan¹,Jin Yanrui¹,Liu Yunqing¹,Liu Chengliang¹²,Zhao Liqun³,Chen Xiaojun¹^ORCID

Affiliation:

1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China

3. Department of Cardiology, Shanghai First People’s Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China

Funder

National Key R&D Program of China

Shanghai Municipal Science and Technology Major Project

Publisher

Informa UK Limited

Subject

Biomedical Engineering,General Medicine,Surgery

Link

https://www.tandfonline.com/doi/pdf/10.1080/17434440.2022.2115887

Reference117 articles.

1. Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

2. Current methods in electrocardiogram characterization

3. Machine Learning Approach to Detect Cardiac Arrhythmias in ECG Signals: A Survey

4. A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals

5. Deep learning for healthcare applications based on physiological signals: A review

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