HCTG-Net: A Hybrid CNN–Transformer Network with Gated Fusion for Automatic ECG Arrhythmia Diagnosis

Accurate detection of cardiac arrhythmias from electrocardiogram (ECG) signals is essential for the early diagnosis of cardiovascular diseases but remains challenging due to the complex, non-linear nature of ECG waveforms. This study proposes HCTG-Net, a Hybrid CNN–Transformer Network with Gated Fus...

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Detalles Bibliográficos

Principais autores:	Ni Xiong, Zibo Wei, Xuehua Wang, Yan Wang, Zhaohui Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-11-01
Series:	Bioengineering
Assuntos:	ECG arrhythmia detection hybrid CNN–Transformer gated fusion deep learning biomedical signal processing cardiovascular diagnosis
Acceso en liña:	https://www.mdpi.com/2306-5354/12/11/1268
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