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A coupled monodomain solver with optimal memory usage for the simulation of cardiac wave propagation

机译:耦合的单域求解器,具有最佳内存用法,用于模拟心脏波传播

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摘要

The monodomain model is a common description for explaining the electrical activity of the heart. The model is nonlinear and consists of an ODE system that describes electrochemical reactions in the cardiac cells and a parabolic PDE that express the diffusion of the electrical signal. FEM approaches for the numerical solution of the monodomain equations can be classified into those that simultaneously update the state variables with respect to time by solving a coupled system and those that perform the temporal update in a decoupled manner. While coupled strategies are known to yield more accurate results, they so far have not been applied to physiological cell models due to their enormous memory requirements and computational times. In this paper, we tackle these challenges and suggest a novel computational strategy, that exploits the sparsity of local matrices in the assembly of global FEM matrices and hence features optimal usage of memory. We demonstrate the practicability of our coupled approach by employing three popular physiological cell models (Luo-Rudy phase-I, Ten Tusscher 2006 and O'Hara-Rudy 2011) and compare it with a commonly used decoupled strategy. Qualitatively different results obtained for the simulation of cardiac reentry underline the potential relevance of our work for future studies of cardiac pathology. (c) 2020 Elsevier Inc. All rights reserved.
机译:Monodomain模型是解释心脏电活动的常见描述。该模型是非线性的,由描述心脏细胞中的电化学反应和表达电信号扩散的抛物线PDE的ode系统组成。 Monodomain方程的数值解的FEM方法可以被分类为通过求解耦合系统和以分离方式执行时间更新的时间同时更新状态变量的那些方法。虽然已知耦合策略来产生更准确的结果,但由于其巨大的内存要求和计算时间,他们到目前为止尚未应用于生理细胞模型。在本文中,我们解决了这些挑战,并提出了一种新颖的计算策略,该策略利用了全局有限元矩阵组合中的本地矩阵的稀疏性,因此具有存储器的最佳使用。我们展示了通过使用三种流行的生理细胞模型(Luo-Rudy阶段-i,Turn Tusscher 2006和O'Hara-Rudy 2011)的耦合方法的可行性,并将其与常用的解耦策略进行比较。为模拟心脏再进入的定性不同的结果强调了我们对未来心脏病理学研究的潜在相关性。 (c)2020 Elsevier Inc.保留所有权利。

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