Precise and efficient heartbeat classification using a novel lightweight-modified method-Reference-Cited by-同舟云学术

Precise and efficient heartbeat classification using a novel lightweight-modified method

Published:2021-07 Issue: Volume:68 Page:102771
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Liu Yunqing,Jin Yanrui,Liu Jinlei,Qin Chengjin,Lin Ke,Shi Haotian,Tao Jianfeng,Zhao Liqun,Liu Chengliang

Funder

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Science and Technology Commission of Shanghai Municipality

Shanghai Jiao Tong University

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference53 articles.

1. Inter-patient heartbeat classification based on region feature extraction and ensemble classifier;Shi;Biomed. Signal Process. Control,2019

2. World Health Organization. Cardiovascular diseases (CVDs) [EB/OL]. (2017-05-17) [2020-12-14]. https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds).

3. Multi-domain modeling of atrial fibrillation detection with twin attentional convolutional long short-term memory neural networks;Jin;Knowledge-Based Syst.,2020

4. HeartSaver: A mobile cardiac monitoring system for auto-detection of atrial fibrillation, myocardial infarction, and atrio-ventricular block;Sankari;Comput. Biol. Med.,2011

5. Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system;Plawiak;Expert Syst. Appl.,2018

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