Model assessment through data assimilation of realistic data in cardiac electrophysiology
| hal.structure.identifier | Service Expérimentation et Développement [Bordeaux] [SED] | |
| dc.contributor.author | GÉRARD, Antoine | |
| hal.structure.identifier | Modélisation Mathématique pour l'Oncologie [MONC] | |
| dc.contributor.author | COLLIN, Annabelle | |
| hal.structure.identifier | Laboratoire de Mécanique des Solides [LMS] | |
| dc.contributor.author | BUREAU, Gautier | |
| hal.structure.identifier | Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine [M3DISIM] | |
| dc.contributor.author | MOIREAU, Philippe | |
| hal.structure.identifier | Modélisation et calculs pour l'électrophysiologie cardiaque [CARMEN] | |
| dc.contributor.author | COUDIÈRE, Yves | |
| dc.date.accessioned | 2024-04-04T03:00:34Z | |
| dc.date.available | 2024-04-04T03:00:34Z | |
| dc.date.issued | 2019-06-06 | |
| dc.date.conference | 2019-06-06 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192829 | |
| dc.description.abstractEn | We consider a model-based estimation procedure-namely a data assimilation algorithm-of the atrial depolarization state of a subject using data corresponding to electro-anatomical maps. Our objective is to evaluate the sensitivity of such a model-based reconstruction with respect to model choices. The followed data assimilation approach is capable of using electrical activation times to adapt a monodomain model simulation, thanks to an ingenious model-data fitting term inspired from image processing. The resulting simulation smoothes and completes the activation maps when they are spatially incomplete. Moreover, conductivity parameters can also be inferred. The model sensitivity assessment is performed based on synthetic data generated with a validated realistic atria model and then inverted using simpler modeling ingredients. In particular, the impact of the muscle fibers definition and corresponding anisotropic conductivity parameters is studied. Finally, an application of the method to real data is presented, showing promising results. | |
| dc.language.iso | en | |
| dc.subject.en | Electrophysiology | |
| dc.subject.en | Data assimilation | |
| dc.subject.en | Cardiac modeling | |
| dc.title.en | Model assessment through data assimilation of realistic data in cardiac electrophysiology | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Informatique [cs]/Modélisation et simulation | |
| dc.subject.hal | Sciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | FIMH 2019 - 10th Functional Imaging and Modeling of the Heart | |
| bordeaux.country | FR | |
| bordeaux.conference.city | Bordeaux | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02172102 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.conference.end | 2019-06-08 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02172102v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2019-06-06&rft.au=G%C3%89RARD,%20Antoine&COLLIN,%20Annabelle&BUREAU,%20Gautier&MOIREAU,%20Philippe&COUDI%C3%88RE,%20Yves&rft.genre=unknown |
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