Aragón Institute of Engineering Research, IIS Aragón, , University of Zaragoza, Zaragoza, Spain.
CIBER in Bioengineering, Biomaterials & Nanomedicine (CIBER-BBN), Madrid, Spain.
Int J Numer Method Biomed Eng. 2021 Jul;37(7):e3461. doi: 10.1002/cnm.3461. Epub 2021 Apr 12.
The monodomain model is widely used in in-silico cardiology to describe excitation propagation in the myocardium. Frequently, operator splitting is used to decouple the stiff reaction term and the diffusion term in the monodomain model so that they can be solved separately. Commonly, the diffusion term is solved implicitly with a large time step while the reaction term is solved by using an explicit method with adaptive time stepping. In this work, we propose a fully explicit method for the solution of the decoupled monodomain model. In contrast to semi-implicit methods, fully explicit methods present lower memory footprint and higher scalability. However, such methods are only conditionally stable. We overcome the conditional stability limitation by proposing a dual adaptive explicit method in which adaptive time integration is applied for the solution of both the reaction and diffusion terms. We perform a set of numerical examples where cardiac propagation is simulated under physiological and pathophysiological conditions. Results show that the proposed method presents preserved accuracy and improved computational efficiency as compared to standard operator splitting-based methods.
单域模型广泛应用于计算机心脏学中,用于描述心肌中的兴奋传播。通常,采用算子分裂将单域模型中的刚性反应项和扩散项解耦,以便分别求解。通常,使用大时间步长隐式求解扩散项,而使用自适应时间步长的显式方法求解反应项。在这项工作中,我们提出了一种用于解耦单域模型的完全显式方法。与半隐式方法相比,完全显式方法具有更低的内存占用和更高的可扩展性。然而,这种方法仅条件稳定。我们通过提出一种双自适应显式方法来克服条件稳定性限制,其中自适应时间积分应用于反应项和扩散项的求解。我们进行了一组数值示例,在这些示例中,根据生理和病理生理条件模拟心脏传播。结果表明,与基于标准算子分裂的方法相比,所提出的方法具有更高的准确性和计算效率。