[Heartbeat-based end-to-end classification of arrhythmias].

Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University

Published Date: Sep 30, 2019

Abstract

OBJECTIVE: We propose a heartbeat-based end-to-end classification of arrhythmias to improve the classification performance for supraventricular ectopic beat (SVEB) and ventricular ectopic beat (VEB).

Authors

Li Deng

Jingtai Technology Co. Ltd Floor 4, No. 9, Yifenghua Industrial Zone, 91 Huaning Road, Longhua District Shenzhen Guangdong Province 518109 China.
Rong Fu

School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Keywords

Algorithms Arrhythmias, Cardiac Electrocardiography Heart Rate Humans Neural Networks, Computer Ventricular Premature Complexes

External Resources

View on PubMed Access via DOI PubMed (31640959)

[Heartbeat-based end-to-end classification of arrhythmias].

Abstract

Authors

Keywords

External Resources

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