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Spiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model

hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorGASSA, Narimane
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorZEMZEMI, Nejib
hal.structure.identifierKing‘s College London
dc.contributor.authorCORRADO, Cesare
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorCOUDIÈRE, Yves
dc.date.accessioned2024-04-04T02:46:03Z
dc.date.available2024-04-04T02:46:03Z
dc.date.issued2021-06-18
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/191515
dc.description.abstractEnAim: 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.
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
dc.description.sponsorshipPlateforme multi-modale d'exploration en cardiologie - ANR-11-EQPX-0030
dc.language.isoen
dc.source.titleFunctional Imaging and Modeling of the Heart 2021: International Conference on Functional Imaging and Modeling of the Heart
dc.subject.enCardiac Electrophysiology
dc.subject.enEikonal model
dc.subject.enSpiral Wave
dc.subject.enAtrial fibrillation
dc.title.enSpiral Waves Generation Using an Eikonal-Reaction Cardiac Electrophysiology Model
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1007/978-3-030-78710-3_50
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.description.sponsorshipEuropePersonalized Therapies for Atrial Fibrillation. A Translational Approach
bordeaux.page523-530
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.title.proceedingFunctional Imaging and Modeling of the Heart 2021: International Conference on Functional Imaging and Modeling of the Heart
hal.identifierhal-03301186
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03301186v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Functional%20Imaging%20and%20Modeling%20of%20the%20Heart%202021:%20International%20Conference%20on%20Functional%20Imaging%20and%20Modeling%20of%20the%20Heart&rft.date=2021-06-18&rft.spage=523-530&rft.epage=523-530&rft.au=GASSA,%20Narimane&ZEMZEMI,%20Nejib&CORRADO,%20Cesare&COUDI%C3%88RE,%20Yves&rft.genre=unknown


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