Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation

AIMS: Atrial fibrillation (AF) is sustained by re-entrant activation patterns. Ablation strategies have been proposed that target regions of tissue that may support re-entrant activation patterns. We aimed to characterize the tissue properties associated with regions that tether re-entrant activatio...

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Vydáno v:Europace
Hlavní autoři: Corrado, Cesare, Williams, Steven, Roney, Caroline, Plank, Gernot, O’Neill, Mark, Niederer, Steven
Médium: Artigo
Jazyk:Inglês
Vydáno: Oxford University Press 2021
Témata:
Supplement Papers
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7943361/
https://ncbi.nlm.nih.gov/pubmed/33437987
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/europace/euaa386
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