Multi-Classification Model for PPG Signal Arrhythmia Based on Time–Frequency Dual-Domain Attention Fusion

Cardiac arrhythmia is a leading cause of sudden cardiac death. Its early detection and continuous monitoring hold significant clinical value. Photoplethysmography (PPG) signals, owing to their non-invasive nature, low cost, and convenience, have become a vital information source for monitoring cardi...

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Detalhes bibliográficos

Principais autores:	Yubo Sun, Keyu Meng, Shipan Lang, Pei Li, Wentao Wang, Jun Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-09-01
Colecção:	Sensors
Assuntos:	photoplethysmography (PPG) arrhythmia classification deep learning multi-domain attention network wearable health monitoring
Acesso em linha:	https://www.mdpi.com/1424-8220/25/19/5985
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