Prevalence of endoepicardial asynchrony and breakthrough patterns in a bilayer computational model of heterogeneous endoepicardial dissociation in the left atrium

Authors

Vincent Jacquemet (ORCID: https://orcid.org/0000-0002-8485-8738)
Elham Zakeri Zafarghandi (ORCID: https://orcid.org/0000-0001-7241-3347)

Institutions

Hôpital du Sacré-Cœur de Montréal (CA)
Université de Montréal (CA)

Publication Details

Journal: PLoS ONE
Published: 2024-11-22
DOI: https://doi.org/10.1371/journal.pone.0314342
Citations: 1
Primary Topic: Atrial Fibrillation Management and Outcomes
Type: article
Field-Weighted Citation Impact: 0.40

Funders

Natural Sciences and Engineering Research Council of Canada

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article

Prevalence of endoepicardial asynchrony and breakthrough patterns in a bilayer computational model of heterogeneous endoepicardial dissociation in the left atrium

Vincent Jacquemet, Elham Zakeri Zafarghandi

Nov 22, 2024

1 citations

PLoS ONE

Atrial Fibrillation Management and Outcomes

0.40

article

Prevalence of endoepicardial asynchrony and breakthrough patterns in a bilayer computational model of heterogeneous endoepicardial dissociation in the left atrium

Vincent Jacquemet, Elham Zakeri Zafarghandi

November 22, 2024article en

1 citations

Abstract

No abstract available for this paper.

PLoS ONEVol. 19(11)

Hôpital du Sacré-Cœur de Montréal (CA), Université de Montréal (CA)

Natural Sciences and Engineering Research Council of Canada

Responsible consumption and production

Openalex Percentile: Top 30%

Atrial Fibrillation Management and Outcomes

0.40

DOI Open Access PDF OpenAlex

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Prevalence of endoepicardial asynchrony and breakthrough patterns in a bilayer computational model of heterogeneous endoepicardial dissociation in the left atrium — Vincent Jacquemet, Elham Zakeri Zafarghandi · PLoS ONE (2024) | TGRS Research Map | TGRS