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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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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 |