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Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model

Narimane Gassa 1 Nejib Zemzemi 1 Cesare Corrado 2 Yves Coudière 1 
1 CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest, IHU-LIRYC
Abstract : Aim: Computer models enabled the study of the fundamental mechanisms responsible for arrhythmias and have the potential of optimizing the clinical procedure for an individual patients pathology. The model complexity and the computational costs affecting computer models hamper their application on a routinely performed procedure. In this work, we aim to design a computer model suitable for clinical time scales. Methods: We adopt a (multi-front) eikonal model that adapts the conduction velocity to the underlying electrophysiology; we describe the diffusion current using a parametrised form, fitted to reproduce the monodomain profile. Results: We simulated spiral waves on a 3D tissue slab and bi-atrial anatomy. We compared the numerical results obtained with a monodomain formulation with those obtained with the new method. Both models provided the same pattern of the spiral waves. While the monodomain model presented slower propagation fronts, the eikonal model captured the correct value of the conduction velocity CV even using a coarse resolution. Conclusion: The eikonal model has the potential of enabling computer-guided procedures when adapts the conduction velocity to the underlying electrophysiology and characterises the diffusion current with a parametrised form.
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https://hal.inria.fr/hal-03301186
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Submitted on : Tuesday, July 27, 2021 - 1:24:54 PM
Last modification on : Sunday, June 26, 2022 - 3:11:37 AM
Long-term archiving on: : Thursday, October 28, 2021 - 6:24:22 PM

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Narimane Gassa, Nejib Zemzemi, Cesare Corrado, Yves Coudière. Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model. Functional Imaging and Modeling of the Heart 2021: International Conference on Functional Imaging and Modeling of the Heart, pp.523-530, 2021, ⟨10.1007/978-3-030-78710-3_50⟩. ⟨hal-03301186⟩

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