98277 20230914083305.0 doi 10.23919/CinC49843.2019.9005863 sideral 121995 ART-2019-121995 eng Mountris, K.A. (orcid)0000-0003-2946-3044 A Novel Paradigm for in Silico Simulation of Cardiac Electrophysiology Through the Mixed Collocation Meshless Petrov-Galerkin Method 2019 Access copy available to the general public Unrestricted Multi-scale cardiac electrophysiological modeling involves high computational load due to the inherent complexity as well as to limitations of the employed numerical methods (e.g., Finite Element Method - FEM). This study investigates the use of the Meshless Local Petrov-Galerkin Mixed Collocation (MLPG-MC) method to simulate cardiac electrophysiology. MLPG-MC is a truly meshless method where both the unknown function and its gradient are interpolated using nodal collocation. A 3 cm × 3 cm human ventricular tissue was simulated based on the monodomain reaction-diffusion model using the operator splitting technique. MLPG-MC or FEM were used to solve the diffusion term and the O''Hara-Virág-Varró-Rudy AP model to represent cellular electrophysiology at baseline and under 30% IKr inhibition (IKr30). Mean differences between MLPG-MC and FEM in AP duration at 90% (APD90), 50% (APD50) and 20% (APD20) repolarization levels were 4.47%, 4.16% and 3.29% for baseline conditions and 3.66%, 2.10% and 1.62% for IKr30 conditions. The computational time associated with each of the two methods was comparable. In conclusion, considering that MLPG-MC does not involve any mesh requirements and is well suited for massive parallelization, this study shows that it represents a promising alternative to FEM for cardiac electrophysiology simulations. info:eu-repo/grantAgreement/ES/DGA-FEDER/T39-17R-BSICoS info:eu-repo/grantAgreement/EUR/ERC-2014-StG-638284 info:eu-repo/grantAgreement/ES/MINECO/DPI2016-75458-R info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 0.296 2019 Computer Science (miscellaneous) 2019 Cardiology and Cardiovascular Medicine 2019 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Sanchez, C. (orcid)0000-0003-4273-5403 Pueyo, E. Universidad de Zaragoza (orcid)0000-0002-1960-407X 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 46 (2019), [4 pp] Comput. cardiol. Computing in Cardiology 2325-8861 231708 http://zaguan.unizar.es/record/98277/files/texto_completo.pdf Versión publicada 2790753 http://zaguan.unizar.es/record/98277/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:98277 articulos driver 2023-09-13-10:56:09 ARTICLE