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Efficient numerical methods for simulating cardiac electrophysiology with cellular resolution

hal.structure.identifierZuse Institute Berlin [ZIB]
dc.contributor.authorCHEGINI, Fatemeh
hal.structure.identifierService Expérimentation et Développement [Bordeaux] [SED]
dc.contributor.authorFROEHLY, Algiane
hal.structure.identifierUniversità degli Studi di Pavia = University of Pavia [UNIPV]
dc.contributor.authorHUYNH, Ngoc
hal.structure.identifierUniversità degli Studi di Pavia = University of Pavia [UNIPV]
dc.contributor.authorPAVARINO, Luca F.
hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierUniversità degli Studi di Milano = University of Milan [UNIMI]
dc.contributor.authorSCACCHI, Simone
hal.structure.identifierZuse Institute Berlin [ZIB]
dc.contributor.authorWEISER, Martin
dc.date.accessioned2024-04-04T02:30:58Z
dc.date.available2024-04-04T02:30:58Z
dc.date.conference2023-06-05
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190278
dc.description.abstractEnThe cardiac extracellular-membrane-intracellular (EMI) model enables the precise geometrical representation and resolution of aggregates of individual myocytes. As a result, it not only yields more accurate simulations of cardiac excitation compared to homogenized models but also presents the challenge of solving much larger problems. In this paper, we introduce recent advancements in three key areas: (i) the creation of artificial, yet realistic grids, (ii) efficient higher-order time stepping achieved by combining low-overhead spatial adaptivity on the algebraic level with progressive spectral deferred correction methods, and (iii) substructuring domain decomposition preconditioners tailored to address the complexities of heterogeneous problem structures. The efficiency gains of these proposed methods are demonstrated through numerical results on cardiac meshes of different sizes.
dc.language.isoen
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enEMI model
dc.subject.enhigh-order time integration
dc.subject.enspectral deferred correction
dc.subject.enalgebraic adaptivity
dc.subject.enmultirate integration scheme
dc.subject.enladder methods
dc.subject.enBDDC preconditioner
dc.title.enEfficient numerical methods for simulating cardiac electrophysiology with cellular resolution
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Analyse numérique [math.NA]
dc.subject.halInformatique [cs]/Modélisation et simulation
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
dc.description.sponsorshipEuropeNumerical modeling of cardiac electrophysiology at the cellular scale
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleCOUPLED 2023 - 10th International Conference on Computational Methods for Coupled Problems in Science and Engineering
bordeaux.countryGR
bordeaux.conference.cityChania
bordeaux.peerReviewedoui
hal.identifierhal-04407791
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2023-06-07
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-04407791v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=CHEGINI,%20Fatemeh&FROEHLY,%20Algiane&HUYNH,%20Ngoc&PAVARINO,%20Luca%20F.&POTSE,%20Mark&rft.genre=unknown


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