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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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Detalhes bibliográficos
Publicado no:Front Physiol
Main Authors: Sánchez, Jorge, Luongo, Giorgio, Nothstein, Mark, Unger, Laura A., Saiz, Javier, Trenor, Beatriz, Luik, Armin, Dössel, Olaf, Loewe, Axel
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2021
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8287829/
https://ncbi.nlm.nih.gov/pubmed/34290623
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphys.2021.699291
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