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Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps

Micro-anatomical reentry has been identified as a potential driver of atrial fibrillation (AF). In this paper, we introduce a novel computational method which aims to identify which atrial regions are most susceptible to micro-reentry. The approach, which considers the structural basis for micro-ree...

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Detalles Bibliográficos
Autores principales: Falkenberg, Max, Coleman, James A., Dobson, Sam, Hickey, David J., Terrill, Louie, Ciacci, Alberto, Thomas, Belvin, Sau, Arunashis, Ng, Fu Siong, Zhao, Jichao, Peters, Nicholas S., Christensen, Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223322/
https://www.ncbi.nlm.nih.gov/pubmed/35737662
http://dx.doi.org/10.1371/journal.pone.0267166

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