A lightweight and robust parallel CNN–LSTM network with random crop augmentation for single-lead raw ECG arrhythmia classification

Cardiovascular diseases remain one of the leading causes of mortality worldwide, creating a strong need for continuous and reliable electrocardiogram (ECG) monitoring systems. Although recent deep learning methods have achieved high arrhythmia classification accuracy, many of them are computationall...

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Detalhes bibliográficos

Principais autores:	Emir Ali Dinsel, Halife Kodaz
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-07-01
Colecção:	Engineering Science and Technology, an International Journal
Assuntos:	ECG arrhythmia classification Single-lead ECG Parallel CNN-LSTM Random Crop augmentation Wearable monitoring Explainable artificial intelligence
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2215098626001436
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