Arrhythmia Detection Using ECG-Based Classification with Prioritized Feature Subset Vector-Associated Generative Adversarial Network-Reference-Cited by-同舟云学术

Arrhythmia Detection Using ECG-Based Classification with Prioritized Feature Subset Vector-Associated Generative Adversarial Network

Published:2023-07-07 Issue:5 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Shaik Janbhasha^ORCID,Bhavanam S. Nagakishore

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-023-01970-3.pdf

Reference34 articles.

1. Al’Aref SJ, Anchouche K, Singh G, et al. Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging. Eur Heart J. 2019;40(24):1975–86.

2. Fritsch P, Dalla Pozza R, Ehringer-Schetitska D, et al. Cardiovascular pre-participation screening in young athletes: recommendations of the association of European paediatric cardiology. Cardiol Young. 2017;27(9):1655–60.

3. Yang Y, Zhang E, Zhang J, et al. Relationship between occupational noise exposure and the risk factors of cardiovascular disease in China: a meta-analysis. Medicine (Baltimore). 2018;97(30): e11720.

4. Bhatia RS, Dorian P. Screening for cardiovascular disease risk with electrocardiography. JAMA Intern Med. 2018;178(9):1163–4.

5. Asif IM, Drezner JA. Cardiovascular screening in young athletes: evidence for the electrocardiogram. Curr Sports Med Rep. 2016;15(2):76–80.

Cited by 1 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. Assessing Risk Factors with Generative Adversarial Networks for Cardiac Arrest Detection;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29