An Arrhythmia classification approach via deep learning using single-lead ECG without QRS wave detection

Arrhythmia, a frequently encountered and life-threatening cardiac disorder, can manifest as a transient or isolated event. Traditional automatic arrhythmia detection methods have predominantly relied on QRS-wave signal detection. Contemporary research has focused on the utilization of wearable devic...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Liong-Rung Liu, Ming-Yuan Huang, Shu-Tien Huang, Lu-Chih Kung, Chao-hsiung Lee, Wen-Teng Yao, Ming-Feng Tsai, Cheng-Hung Hsu, Yu-Chang Chu, Fei-Hung Hung, Hung-Wen Chiu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2024-03-01
Serie:	Heliyon
Soggetti:	Arrhythmia Deep learning Convolution neural network (CNN) Single-lead electrocardiogram (ECG) Computer-aided diagnosis (CAD)
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2405844024032316
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!