A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks-Reference-Cited by-同舟云学术

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A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks

Published:2022-11 Issue: Volume:150 Page:106110
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Liu Jinlei,Jin Yanrui,Liu Yunqing,Li Zhiyuan,Qin Chengjin,Chen Xiaojun,Zhao Liqun,Liu Chengliang

Funder

Science and Technology Commission of Shanghai Municipality

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference50 articles.

1. Cardiovascular Diseases;Organization,2019

2. A hierarchical method based on weighted extreme gradient boosting in ECG heartbeat classification;Shi;Comput. Methods Progr. Biomed.,2019

3. A high-precision arrhythmia classification method based on dual fully connected neural network;Wang;Biomed. Signal Process Control,2020

4. Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier;Jha;Biomed. Signal Process Control,2020

5. A real-time QRS detection algorithm;Pan;IEEE Trans. Biomed. Eng.,1985

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