HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification

In recent years, with the development of artificial intelligence, deep learning model has achieved initial success in ECG data analysis, especially the detection of atrial fibrillation. In order to solve the problems of ignoring the correlation between contexts and gradient dispersion in traditional...

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Detalles Bibliográficos
Autores principales: Jiang, Mingfeng, Gu, Jiayan, Li, Yang, Wei, Bo, Zhang, Jucheng, Wang, Zhikang, Xia, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289344/
https://www.ncbi.nlm.nih.gov/pubmed/34290619
http://dx.doi.org/10.3389/fphys.2021.683025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289344/
https://www.ncbi.nlm.nih.gov/pubmed/34290619
http://dx.doi.org/10.3389/fphys.2021.683025

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