Detection of Brief Episodes of Atrial Fibrillation Based on Electrocardiomatrix and Convolutional Neural Network

Background: Brief episodes of atrial fibrillation (AF) may evolve into longer AF episodes increasing the chances of thrombus formation, stroke, and death. Classical methods for AF detection investigate rhythm irregularity or P-wave absence in the ECG, while deep learning approaches profit from the a...

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Detalles Bibliográficos
Autores principales: Salinas-Martínez, Ricardo, de Bie, Johannes, Marzocchi, Nicoletta, Sandberg, Frida
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/PMC8424003/
https://www.ncbi.nlm.nih.gov/pubmed/34512372
http://dx.doi.org/10.3389/fphys.2021.673819

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424003/
https://www.ncbi.nlm.nih.gov/pubmed/34512372
http://dx.doi.org/10.3389/fphys.2021.673819

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