Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network

Atrial fibrillation (AF) is the most common cardiac arrhythmia, and its early detection is critical for preventing complications and optimizing treatment. In this study, a novel AF prediction method is proposed, which is based on investigating a subset of the 12-lead ECG data using a recurrent plot...

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Detalles Bibliográficos
Autores principales: Zhang, Hua, Liu, Chengyu, Tang, Fangfang, Li, Mingyan, Zhang, Dongxia, Xia, Ling, Crozier, Stuart, Gan, Hongping, Zhao, Nan, Xu, Wenlong, Liu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971936/
https://www.ncbi.nlm.nih.gov/pubmed/36866172
http://dx.doi.org/10.3389/fphys.2023.1070621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971936/
https://www.ncbi.nlm.nih.gov/pubmed/36866172
http://dx.doi.org/10.3389/fphys.2023.1070621

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