Du'o'ng Minh Tuấn, Holz David, Alkassar Muhannad, Dittrich Sven, Leyendecker Sigrid
Chair of Applied Dynamics, University of Erlangen-Nuremberg, Erlangen, Germany.
School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam.
Front Physiol. 2019 Sep 24;10:1041. doi: 10.3389/fphys.2019.01041. eCollection 2019.
In this paper, we are investigating the interaction between different passive material models and the mechano-electrical feedback (MEF) in cardiac modeling. Various types of passive mechanical laws (nearly incompressible/compressible, polynomial/exponential-type, transversally isotropic/orthotropic material models) are integrated in a fully coupled electromechanical model in order to study their specific influence on the overall MEF behavior. Our computational model is based on a three-dimensional (3D) geometry of a healthy rat left ventricle reconstructed from magnetic resonance imaging (MRI). The electromechanically coupled problem is solved using a fully implicit finite element-based approach. The effects of different passive material models on the MEF are studied with the help of numerical examples. It turns out that there is a significant difference between the behavior of the MEF for compressible and incompressible material models. Numerical results for the incompressible models exhibit that a change in the electrophysiology can be observed such that the transmembrane potential (TP) is unable to reach the resting state in the repolarization phase, and this leads to non-zero relaxation deformations. The most significant and strongest effects of the MEF on the rat cardiac muscle response are observed for the exponential passive material law.
在本文中,我们正在研究心脏建模中不同被动材料模型与机电反馈(MEF)之间的相互作用。为了研究它们对整体MEF行为的具体影响,将各种类型的被动力学定律(近不可压缩/可压缩、多项式/指数型、横向各向同性/正交各向异性材料模型)集成到一个完全耦合的机电模型中。我们的计算模型基于从磁共振成像(MRI)重建的健康大鼠左心室的三维(3D)几何结构。使用基于完全隐式有限元的方法求解机电耦合问题。借助数值示例研究了不同被动材料模型对MEF的影响。结果表明,可压缩和不可压缩材料模型的MEF行为存在显著差异。不可压缩模型的数值结果表明,可以观察到电生理学的变化,使得跨膜电位(TP)在复极化阶段无法达到静息状态,这导致非零的松弛变形。对于指数型被动材料定律,观察到MEF对大鼠心肌反应的最显著和最强的影响。