Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset

In patients with atrial fibrillation, intracardiac electrogram signal amplitude is known to decrease with increased structural tissue remodeling, referred to as fibrosis. In addition to the isolation of the pulmonary veins, fibrotic sites are considered a suitable target for catheter ablation. Howev...

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Detalles Bibliográficos
Autores principales: Sánchez, Jorge, Luongo, Giorgio, Nothstein, Mark, Unger, Laura A., Saiz, Javier, Trenor, Beatriz, Luik, Armin, Dössel, Olaf, Loewe, Axel
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/PMC8287829/
https://www.ncbi.nlm.nih.gov/pubmed/34290623
http://dx.doi.org/10.3389/fphys.2021.699291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287829/
https://www.ncbi.nlm.nih.gov/pubmed/34290623
http://dx.doi.org/10.3389/fphys.2021.699291

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