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Accelerating stabilization of whole-heart models after changes in cycle length

hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
hal.structure.identifierCentro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina [CIBER-BBN]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBUKHARI, Hassaan
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
hal.structure.identifierCentro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina [CIBER-BBN]
dc.contributor.authorSÁNCHEZ, Carlos
hal.structure.identifierAragón Institute of Engineering Research [Zaragoza] [I3A]
hal.structure.identifierCentro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina [CIBER-BBN]
dc.contributor.authorPUEYO, Esther
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
dc.date.accessioned2024-04-04T02:36:11Z
dc.date.available2024-04-04T02:36:11Z
dc.date.conference2022-09-05
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190705
dc.description.abstractEnParameter changes can cause long-term drift in membrane models. To reduce the cost of whole-heart simulations with such changes the stabilization can be performed in isolated-cell models, but it can then still take many beats to stabilize the full model. We hypothesized that differences in activation time leading to cycle length (CL) variability before the first beat contribute to this. To remove this variability we froze most state variables of the model until the sodium current activated. Simulations were performed with CL 400, 500, 600 and 1000 ms and modified Ten Tusscher-Panfilov 2006 dynamics. Isolated endocardial, mid-myocardial, and epicardial cells were simulated for 1000 beats. Their final states were then copied to a model of the whole human ventricles, which was run for 5 beats, with and without freezing. Stabilization of the full model took three to four beats. Freezing of the membrane state accelerated stabilization in some cell types but caused opposite drifts in others. Drifts were largest in the epicardial and mid-myocardial layers, and not in particular at their interfaces. Freezing of membrane state may help to accelerate stabilization but in our scenarios other types of drift dominate and may be aggravated by freezing, as it inhibits electrotonic interactions.
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque - ANR-10-IAHU-0004
dc.language.isoen
dc.title.enAccelerating stabilization of whole-heart models after changes in cycle length
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
dc.description.sponsorshipEuropePersonalised In-Silico Cardiology
dc.description.sponsorshipEuropeIs your heart aging well? A systems biology approach to characterize cardiac aging from the cell to the body surface
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleComputing in Cardiology 2022
bordeaux.countryFI
bordeaux.conference.cityTampere
bordeaux.peerReviewedoui
hal.identifierhal-03936920
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2022-09-07
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03936920v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=BUKHARI,%20Hassaan&S%C3%81NCHEZ,%20Carlos&PUEYO,%20Esther&POTSE,%20Mark&rft.genre=unknown


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