Homogenisation for the monodomain model in the presence of microscopic fibrotic structures.
35B27
74Q10
Block homogenisation
Cardiac electrophysiology
Cardiac fibrosis
Homogenisation
Monodomain model
Volume averaging
Journal
Communications in nonlinear science & numerical simulation
ISSN: 1007-5704
Titre abrégé: Commun Nonlinear Sci Numer Simul
Pays: China
ID NLM: 101556844
Informations de publication
Date de publication:
Jan 2023
Jan 2023
Historique:
received:
06
08
2021
revised:
06
05
2022
accepted:
04
08
2022
medline:
28
4
2023
pubmed:
28
4
2023
entrez:
28
4
2023
Statut:
ppublish
Résumé
Computational models in cardiac electrophysiology are notorious for long runtimes, restricting the numbers of nodes and mesh elements in the numerical discretisations used for their solution. This makes it particularly challenging to incorporate structural heterogeneities on small spatial scales, preventing a full understanding of the critical arrhythmogenic effects of conditions such as cardiac fibrosis. In this work, we explore the technique of homogenisation by volume averaging for the inclusion of non-conductive micro-structures into larger-scale cardiac meshes with minor computational overhead. Importantly, our approach is not restricted to periodic patterns, enabling homogenised models to represent, for example, the intricate patterns of collagen deposition present in different types of fibrosis. We first highlight the importance of appropriate boundary condition choice for the closure problems that define the parameters of homogenised models. Then, we demonstrate the technique's ability to correctly upscale the effects of fibrotic patterns with a spatial resolution of
Identifiants
pubmed: 37113591
doi: 10.1016/j.cnsns.2022.106794
pii: S1007-5704(22)00308-2
pmc: PMC10124103
doi:
Types de publication
Journal Article
Langues
eng
Pagination
NoneSubventions
Organisme : British Heart Foundation
ID : FS/17/22/32644
Pays : United Kingdom
Organisme : National Centre for the Replacement, Refinement and Reduction of Animals in Research
ID : NC/P001076/1
Pays : United Kingdom
Informations de copyright
© 2022 The Authors.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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