Short-term prediction of atrial fibrillation from ambulatory monitoring ECG using a deep neural network

AIMS: Atrial fibrillation (AF) is associated with significant morbidity but remains underdiagnosed. A 24 h ambulatory electrocardiogram (ECG) is largely used as a tool to document AF but yield remains limited. We hypothesize that a deep learning model can identify patients at risk of AF in the 2 wee...

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Detalles Bibliográficos
Autores principales: Singh, Jagmeet P, Fontanarava, Julien, de Massé, Grégoire, Carbonati, Tanner, Li, Jia, Henry, Christine, Fiorina, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708000/
https://www.ncbi.nlm.nih.gov/pubmed/36713004
http://dx.doi.org/10.1093/ehjdh/ztac014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708000/
https://www.ncbi.nlm.nih.gov/pubmed/36713004
http://dx.doi.org/10.1093/ehjdh/ztac014

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