Sensitivity analysis of a strongly-coupled human-based electromechanical cardiac model: Effect of mechanical parameters on physiologically relevant biomarkers.
Cardiac electromechanics
Finite element method
High-performance computing
Multiscale simulations
Sensitivity analysis
Journal
Computer methods in applied mechanics and engineering
ISSN: 0045-7825
Titre abrégé: Comput Methods Appl Mech Eng
Pays: Netherlands
ID NLM: 101511523
Informations de publication
Date de publication:
01 Apr 2020
01 Apr 2020
Historique:
entrez:
23
6
2020
pubmed:
23
6
2020
medline:
23
6
2020
Statut:
ppublish
Résumé
The human heart beats as a result of multiscale nonlinear dynamics coupling subcellular to whole organ processes, achieving electrophysiologically-driven mechanical contraction. Computational cardiac modelling and simulation have achieved a great degree of maturity, both in terms of mathematical models of underlying biophysical processes and the development of simulation software. In this study, we present the detailed description of a human-based physiologically-based, and fully-coupled ventricular electromechanical modelling and simulation framework, and a sensitivity analysis focused on its mechanical properties. The biophysical detail of the model, from ionic to whole-organ, is crucial to enable future simulations of disease and drug action. Key novelties include the coupling of state-of-the-art human-based electrophysiology membrane kinetics, excitation-contraction and active contraction models, and the incorporation of a pre-stress model to allow for pre-stressing and pre-loading the ventricles in a dynamical regime. Through high performance computing simulations, we demonstrate that 50% to 200%
Identifiants
pubmed: 32565583
doi: 10.1016/j.cma.2019.112762
pii: S0045-7825(19)30654-1
pii: 112762
pmc: PMC7299076
doi:
Types de publication
Journal Article
Langues
eng
Pagination
112762Subventions
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
© 2019 The Author(s).
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