An orthotropic electro-viscoelastic model for the heart with stress-assisted diffusion.

Cardiac electromechanics Kirchhoff stress formulation Mixed-primal finite element method Orthotropic nonlinear elasticity Stress-assisted diffusion Viscoelastic response

Journal

Biomechanics and modeling in mechanobiology
ISSN: 1617-7940
Titre abrégé: Biomech Model Mechanobiol
Pays: Germany
ID NLM: 101135325

Informations de publication

Date de publication:
Apr 2020
Historique:
received: 24 05 2019
accepted: 09 10 2019
pubmed: 21 10 2019
medline: 8 1 2021
entrez: 21 10 2019
Statut: ppublish

Résumé

We propose and analyse the properties of a new class of models for the electromechanics of cardiac tissue. The set of governing equations consists of nonlinear elasticity using a viscoelastic and orthotropic exponential constitutive law, for both active stress and active strain formulations of active mechanics, coupled with a four-variable phenomenological model for human cardiac cell electrophysiology, which produces an accurate description of the action potential. The conductivities in the model of electric propagation are modified according to stress, inducing an additional degree of nonlinearity and anisotropy in the coupling mechanisms, and the activation model assumes a simplified stretch-calcium interaction generating active tension or active strain. The influence of the new terms in the electromechanical model is evaluated through a sensitivity analysis, and we provide numerical validation through a set of computational tests using a novel mixed-primal finite element scheme.

Identifiants

pubmed: 31630280
doi: 10.1007/s10237-019-01237-y
pii: 10.1007/s10237-019-01237-y
pmc: PMC7105452
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

633-659

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Auteurs

Adrienne Propp (A)

Mathematical Institute, University of Oxford, A. Wiles Building, Woodstock Road, Oxford, OX2 6GG, United Kingdom.

Alessio Gizzi (A)

Nonlinear Physics and Mathematical Modeling Laboratory, Department of Engineering, University Campus Bio-Medico, Rome, Italy.

Francesc Levrero-Florencio (F)

Department of Computer Science, University of Oxford, 15 Parks Road, Oxford, OX1 3QD, United Kingdom.

Ricardo Ruiz-Baier (R)

Mathematical Institute, University of Oxford, A. Wiles Building, Woodstock Road, Oxford, OX2 6GG, United Kingdom. Ricardo.RuizBaier@maths.ox.ac.uk.
Laboratory of Mathematical Modelling, Institute of Personalised Medicine, Sechenov University, Moscow, Russian Federation. Ricardo.RuizBaier@maths.ox.ac.uk.

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