Automatic screening of patients with atrial fibrillation from 24-h Holter recording using deep learning

AIMS: As the demand for atrial fibrillation (AF) screening increases, clinicians spend a significant amount of time identifying AF signals from massive amounts of data obtained during long-term dynamic electrocardiogram (ECG) monitoring. The identification of AF signals is subjective and depends on...

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Detalles Bibliográficos
Autores principales: Zhang, Peng, Lin, Fan, Ma, Fei, Chen, Yuting, Fang, Siyi, Zheng, Haiyan, Xiang, Zuwen, Yang, Xiaoyun, Li, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232289/
https://www.ncbi.nlm.nih.gov/pubmed/37265871
http://dx.doi.org/10.1093/ehjdh/ztad018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232289/
https://www.ncbi.nlm.nih.gov/pubmed/37265871
http://dx.doi.org/10.1093/ehjdh/ztad018

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