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

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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Bibliographic Details
Main Authors: Max Falkenberg, James A Coleman, Sam Dobson, David J Hickey, Louie Terrill, Alberto Ciacci, Belvin Thomas, Arunashis Sau, Fu Siong Ng, Jichao Zhao, Nicholas S Peters, Kim Christensen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267166&type=printable
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0267166&type=printable

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