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Computational modeling of non-linear diffusion in cardiac electrophysiology: A novel porous-medium approach

机译:心脏电生理中非线性扩散的计算模型:一种新颖的多孔介质方法

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The electrophysiological behavior of excitable biological media has been traditionally modeled using a nonlinear reaction-diffusion equation commonly known as the cable equation. To account for the propagating nature of electrical waves, virtually all cardiac electrophysiology formulations proposed to date consider a linear diffusion flux, a constitutive relation known in biology as Fick's law. In this work, motivated by the porous nature of intercalated discs in cardiac muscle cells that mediate intercellular communication and ultimately tissue conductivity, we propose a novel formulation of cardiac electrophysiology that incorporates a nonlinear diffusion term of the porous-media kind. To solve the resulting system of non-linear partial differential equations we develop a non-linear implicit finite-element scheme that is suitable to simulations of large-scale cardiac problems. We show that the proposed porous-medium electrophysiology model results in propagating action potentials that have well-defined wavefronts and travel with finite speed. We also show that the proposed model captures the restitution properties of cardiac tissue similar to the cable model. We demonstrate the capabilities of our method by simulating the activation sequence of a three-dimensional human biventricular heart model, where important microstructural features like cardiomyocyte fiber orientation and the His-Purkinje activation network are successfully incorporated into the simulation. (C) 2015 Elsevier B.V. All rights reserved.
机译:传统上已经使用通常称为电缆方程的非线性反应扩散方程对可激发生物介质的电生理行为进行了建模。考虑到电波的传播特性,迄今为止,几乎所有提出的心脏电生理学公式都考虑了线性扩散通量,这是生物学上称为菲克定律的一种本构关系。在这项工作中,受介导的间质盘在心肌细胞中介导细胞间通讯以及最终组织传导性的多孔性的启发,我们提出了一种结合了多孔介质类型的非线性扩散项的心脏电生理新配方。为了解决非线性偏微分方程的结果系统,我们开发了一种非线性隐式有限元方案,该方案适用于大规模心脏问题的仿真。我们表明,提出的多孔介质电生理模型导致传播的动作电位具有明确的波前并以有限的速度传播。我们还表明,提出的模型与电缆模型类似,捕获了心脏组织的恢复特性。我们通过模拟三维人双心室心脏模型的激活序列来证明我们方法的功能,其中重要的微结构特征(如心肌细胞纤维方向和His-Purkinje激活网络)已成功纳入模拟。 (C)2015 Elsevier B.V.保留所有权利。

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