Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data

Computational models of cardiac electrophysiology are promising tools for reducing the rates non-response patients suitable resynchronization therapy (CRT) by optimizing electrode placement. The majority computational in literature mesh-based, primarily using finite element method (FEM). generation patient-specific meshes has traditionally been a tedious task requiring manual intervention and hindering modeling large number cases. Meshless can be valid alternative due to their mesh quality independence. organization challenges such as CRT-EPiggy19, providing unique experimental data open access, enables benchmarking analysis different solutions with quantitative metrics. We present benchmark meshless-based finite-element methods prediction electrical patterns CRT, based on subset CRT-EPiggy19 dataset. A assimilation strategy was designed personalize most relevant parameters electrophysiological simulations identify optimal CRT lead configuration. simulation results obtained meshless model were equivalent FEM, aspect accurate predictions being parameter personalization (e.g., regional conduction velocity distribution, including Purkinje system distribution).