A Novel Approach for Heart Ventricular and Atrial Abnormalities Detection via an Ensemble Classification Algorithm Based on ECG Morphological Features-Reference-Cited by-同舟云学术

A Novel Approach for Heart Ventricular and Atrial Abnormalities Detection via an Ensemble Classification Algorithm Based on ECG Morphological Features

Published:2021 Issue: Volume:9 Page:54757-54774
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Yang Hui¹^ORCID,Wei Zhiqiang²^ORCID

Affiliation:

1. Department of Computer Foundation, Ocean University of China, Qingdao, China

2. College of Information Science and Engineering, Ocean University of China, Qingdao, China

Funder

Humanities and Social Sciences Project of Chinese Ministry of Education

National Natural Science Foundation of China

Marine Science and Technology (S&T) Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology, Qingdao

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09395459.pdf?arnumber=9395459

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Ensemble Deep Neural Network-Based Method for Person Identification Using Electrocardiogram Signals Acquired on Different Days;Applied Sciences;2024-09-06

2. Abnormalities analysis of electrocardiogram signals by using artificial intelligence;Multimedia Tools and Applications;2024-05-21

3. Detection of cardiac abnormalities from 12-lead ecg using complex wavelet sub-band features;Biomedical Physics & Engineering Express;2024-04-04

4. ECG arrhythmia detection in an inter-patient setting using Fourier decomposition and machine learning;Medical Engineering & Physics;2024-02

5. An RNN-Bi LSTM Based Multi Decision GAN Approach for the Recognition of Cardiovascular Disease (CVD) From Heart Beat Sound: A Feature Optimization Process;IEEE Access;2024