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Local Conduction Velocity Mapping for Electrocardiographic Imaging

hal.structure.identifierIHU-LIRYC
dc.contributor.authorDALLET, Corentin
hal.structure.identifierIHU-LIRYC
dc.contributor.authorBEAR, Laura
hal.structure.identifierCentre Hospitalier Universitaire de Bordeaux [CHU Bordeaux]
dc.contributor.authorDUCHATEAU, Josselin
hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorZEMZEMI, Nejib
hal.structure.identifierIHU-LIRYC
dc.contributor.authorMEILLET, Valentin
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorCOUDIÈRE, Yves
hal.structure.identifierIHU-LIRYC
dc.contributor.authorDUBOIS, Rémi
dc.date.accessioned2024-04-04T03:16:50Z
dc.date.available2024-04-04T03:16:50Z
dc.date.conference2015-09-06
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194252
dc.description.abstractEnSlow conduction is a well-known pro-arrhythmic feature for tachycardia and fibrillation. Cardiac conduction velocity (CV) mapping can be extremely helpful for investigating unusual activation patterns. Although methods have been developed to estimate velocity vector field, from ex-vivo preparations (e.g. from optical mapping recordings), the estimation from in-vivo electrograms (EGMs) remains challenging. This paper presents a new method specifically designed for EGMs reconstructed non-invasively from body surface potentials using electrocardiographic imaging (ECGi). The algorithm is based on cardiac activation maps and assumes either a linear or quadratic wavefront shape. The proposed methodology was performed on computed and experimental data for epicardial pacing on healthy tissue. The results were compared with reference velocity vector fields and evaluated by analyzing the errors of direction and speed. The outcomes indicate that a linear wavefront is the most suited for cardiac propagation in healthy tissue.
dc.language.isoen
dc.title.enLocal Conduction Velocity Mapping for Electrocardiographic Imaging
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Modélisation et simulation
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleComputing in cardiology
bordeaux.countryFR
bordeaux.conference.cityNice
bordeaux.peerReviewedoui
hal.identifierhal-01241751
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2015-09-09
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01241751v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=DALLET,%20Corentin&BEAR,%20Laura&DUCHATEAU,%20Josselin&POTSE,%20Mark&ZEMZEMI,%20Nejib&rft.genre=unknown


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