2018
DOI: 10.1016/j.euromechsol.2018.06.001
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A modeling framework for electro-mechanical interaction between excitable deformable cells

Abstract: Cardiac myocytes are the fundamental cells composing the heart muscle. The propagation of electric signals and chemical quantities through them is responsible for their nonlinear contraction and dilatation. In this study, a theoretical model and a finite element formulation are proposed for the simulation of adhesive contact interactions between myocytes across the so-called gap junctions. A multi-field interface constitutive law is proposed for their description, integrating the adhesive and contact mechanica… Show more

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Cited by 19 publications
(22 citation statements)
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“…CV matching through σ tuning. While cell membrane capacitance C m and cell surface-to-volume ratio χ are physical quantities derived from measurements in isolated cardiac myocytes (and hence local), the conductivity σ of cardiac tissue is an average measure of how electrical activation propagates across the cell and how it is communicated in space between adjacent cardiomyocytes, thus tightly linked to the physical spatial dimension of the problem (e.g., see [16,39] and references therein). When working with a fractional excitable media model to account for the multiscale effect of microscopic heterogeneity, considering a fractional power of the diffusion operator (∇ • D∇), with diffusivity D = σ/(C m χ), is a wrong physical assumption.…”
Section: Resultsmentioning
confidence: 99%
“…CV matching through σ tuning. While cell membrane capacitance C m and cell surface-to-volume ratio χ are physical quantities derived from measurements in isolated cardiac myocytes (and hence local), the conductivity σ of cardiac tissue is an average measure of how electrical activation propagates across the cell and how it is communicated in space between adjacent cardiomyocytes, thus tightly linked to the physical spatial dimension of the problem (e.g., see [16,39] and references therein). When working with a fractional excitable media model to account for the multiscale effect of microscopic heterogeneity, considering a fractional power of the diffusion operator (∇ • D∇), with diffusivity D = σ/(C m χ), is a wrong physical assumption.…”
Section: Resultsmentioning
confidence: 99%
“…subject to (12)- (13). Specifically, u meas denotes the experimental data measured on the observation domain, Ω obs ⊂ Ω, and u is function of σ through the (12,13,18)..…”
Section: The Monodomain Inverse Conductivity Problemmentioning
confidence: 99%
“…The knowledge of the differential equations for the potential propagation in the cardiac tissue is quite consolidated, as witnessed by the specific literature (see, e.g., [14,15,16]). Modeling improvements are mainly devoted to the micro-, meso-and macroscopic (i.e., cell, tissue and organ levels) description of the ions dynamics at cellular and subcellular level [17], to their behavior at the cell-cell interface [18,19], and to the spatio-temporal coupling among the different cardiac components resulting in synchronized emerging phenomena [20]. These models feature parameters that are quite hard to measure in vivo and data assimilation procedures have been recognized as a viable approach [21,22].…”
Section: Introductionmentioning
confidence: 99%
“…cardiomyocytes, involving different scales [57]. The study of single cell and cell-cell [45] chemomechanical and electromechanical interactions has attempted to unveil some of the underlying complex features of the cardiac function, and different multi-field nonlinear models have been gradually generalising classical approaches as the monodomain equations and Fick's law of diffusion. In particular, fractional diffusion [17], nonlinear diffusion [36], and stress-assisted diffusion formulations [11] were recently proposed to reproduce porous multiscale excitation phenomena within the framework of homogenised models for cardiac tissue.…”
Section: Introductionmentioning
confidence: 99%