Multi-Class Arrhythmia Detection from PPG Signals Based on VGG-BiLSTM Hybrid Deep Learning Model

Arrhythmia is a common and potentially life-threatening cardiovascular condition. Photoplethysmography (PPG) has emerged as a noninvasive alternative to electrocardiography for cardiac rhythm monitoring, yet most PPG-based methods remain limited to binary classification. In this study, a new deep le...

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Principais autores:	Shiyong Li, Jiaying Mo, Jiating Pan, Zhengguang Zheng, Qunfeng Tang, Zhencheng Chen
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2026-04-01
סדרה:	Biosensors
נושאים:	arrhythmia classification photoplethysmography VGG-BiLSTM multi-class classification
גישה מקוונת:	https://www.mdpi.com/2079-6374/16/5/235
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