ECG data dependency for atrial fibrillation detection based on residual networks

Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke and heart failure. To detect AF, deep learning-based detection algorithms have recently been developed. However, deep learning models were often trained with limited datasets and were evaluated within the same...

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Detalles Bibliográficos
Autores principales: Seo, Hyo-Chang, Oh, Seok, Kim, Hyunbin, Joo, Segyeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440762/
https://www.ncbi.nlm.nih.gov/pubmed/34521892
http://dx.doi.org/10.1038/s41598-021-97308-1