A Reparameterization Multifeature Fusion CNN for Arrhythmia Heartbeats Classification

Aiming at arrhythmia heartbeats classification, a novel multifeature fusion deep learning-based method is proposed. The stationary wavelet transforms (SWT) and RR interval features are firstly extracted. Based on the traditional one-dimensional convolutional neural network (1D-CNN), a parallel multi...

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Detalles Bibliográficos
Autores principales: Zhang, Dengyong, Zhou, Haoting, Li, Feng, Zhang, Lebing, Wang, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9711952/
https://www.ncbi.nlm.nih.gov/pubmed/36466550
http://dx.doi.org/10.1155/2022/7401175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9711952/
https://www.ncbi.nlm.nih.gov/pubmed/36466550
http://dx.doi.org/10.1155/2022/7401175

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