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A Machine Learning Technique Regularization of the Inverse Problem in Cardiac Electrophysiology

hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorZEMZEMI, Nejib
hal.structure.identifierIHU-LIRYC
dc.contributor.authorDUBOIS, Rémi
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorCOUDIÈRE, Yves
hal.structure.identifierUniversité de Bordeaux Ségalen [Bordeaux 2]
dc.contributor.authorBERNUS, Olivier
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorHAÏSSAGUERRE, M.
dc.contributor.editorLaguna, Pablo
dc.date.accessioned2024-04-04T02:20:36Z
dc.date.available2024-04-04T02:20:36Z
dc.date.issued2013-12-10
dc.date.conference2013-09-22
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/189505
dc.description.abstractEnRadio-frequency ablation is one of the most efficient treatments of atrial fibrillation. The idea behind it is to stop the propagation of ectopic beats coming from the pulmonary vein and the abnormal conduction pathways. Medical doctors need to use invasive catheters to localize the position of the triggers and they have to decide where to ablate during the intervention. ElectroCardioGraphy Imaging (ECGI) provides the opportunity to reconstruct the electrical potential and activation maps on the heart surface and analyze data prior to the intervention. The mathematical problem behind the reconstruction of heart potential is known to be ill posed. In this study we pro- pose to regularize the inverse problem with a statistically reconstructed heart potential, and we test the method on synthetically data produced using an ECG simulator.
dc.language.isoen
dc.publisherIEEE
dc.title.enA Machine Learning Technique Regularization of the Inverse Problem in Cardiac Electrophysiology
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'ingénieur [physics]
dc.subject.halMathématiques [math]/Mathématiques générales [math.GM]
bordeaux.page285-312
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleCinC - Computing in Cardiology Conference
bordeaux.countryES
bordeaux.conference.cityZaragoza
bordeaux.peerReviewedoui
hal.identifierhal-00920954
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2013-09-25
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00920954v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2013-12-10&rft.spage=285-312&rft.epage=285-312&rft.au=ZEMZEMI,%20Nejib&DUBOIS,%20R%C3%A9mi&COUDI%C3%88RE,%20Yves&BERNUS,%20Olivier&HA%C3%8FSSAGUERRE,%20M.&rft.genre=unknown


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