Key result
The efficiency and stability of calculation approaches in cardiac electrophysiology simulations depend on the action potential model, with conduction velocity dependency varying by material parameters.
Why the study?
Accurately representing myocardial electrophysiology often requires millions of degrees of freedom due to discretization effects, prompting an exploration of how spatial and temporal discretization influence simulations under different modeling choices.
Insights into the effects of spatial and temporal discretization can improve the efficiency and accuracy of cardiac electrophysiology simulations.
Numerical choices in cardiac simulations require model-specific validation; leaves open standardized discretization protocols for reliable electrophysiology modeling.
Millions of degrees of freedom are often required to accurately represent the electrophysiology of the myocardium due to the presence of discretization effects. This study seeks to explore the influence of temporal and spatial discretization on the simulation of cardiac electrophysiology in conjunction with changes in modeling choices. Several finite element analyses are performed to examine how discretization affects solution time, conduction velocity and electrical excitation. Discretization effects are considered along with changes in the electrophysiology model and solution approach. Two action potential models are considered: the Aliev-Panfilov model and the ten Tusscher-Noble-Noble-Panfilov model. The solution approaches consist of two time integration schemes and different treatments for solving the local system of ordinary differential equations. The efficiency and stability of the calculation approaches are demonstrated to be dependent on the action potential model. The dependency of the conduction velocity on the element size and time step is shown to be different for changes in material parameters. Finally, the discrepancies between the wave propagation in coarse and fine meshes are analyzed based on the temporal evolution of the transmembrane potential at a node and its neighboring Gauss points. Insight obtained from this study can be used to suggest new methods to improve the efficiency of simulations in cardiac electrophysiology.
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Woodworth et al. (2021) studied Cardiac electrophysiology. Temporal and spatial discretization vs. Alternative modeling choices was evaluated on Solution time, conduction velocity, and electrical excitation. The efficiency and stability of calculation approaches in cardiac electrophysiology simulations depend on the action potential model, with conduction velocity dependency varying by material parameters.
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