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Spatially Coherent Activation Maps for Electrocardiographic Imaging

hal.structure.identifierIHU-LIRYC
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
dc.contributor.authorDUCHATEAU, Josselin
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierEcole Superieure de Physique et de Chimie Industrielles de la Ville de Paris [ESPCI Paris]
hal.structure.identifierIHU-LIRYC
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
dc.contributor.authorDUBOIS, Remi
dc.date.accessioned2024-04-04T03:09:33Z
dc.date.available2024-04-04T03:09:33Z
dc.date.created2016-07-19
dc.date.issued2017-05-01
dc.identifier.issn0018-9294
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193614
dc.description.abstractEnObjective: Cardiac mapping is an important diagnostic step in cardiac electrophysiology. One of its purposes is to generate a map of the depolarization sequence. This map is constructed in clinical routine either by directly analyzing cardiac electrograms (EGM) recorded invasively or an estimate of these EGMs obtained by a non-invasive technique. Activation maps based on noninvasively estimated EGMs often show artefactual jumps in activation times. To overcome this problem we present a new method to construct the activation maps from reconstructed unipolar EGMs. Methods: On top of the standard estimation of local activation time from unipolar intrinsic deflections, we propose to mutually compare the EGMs in order to estimate the delays in activation for neighboring recording locations. We then describe a workflow to construct a spatially coherent activation map from local activation times and delay estimates in order to create more accurate maps. The method is optimized using simulated data and evaluated on clinical data from 12 different activation sequences. Results: We found that the standard methodology created lines of artificially strong activation time gradient. The proposed workflow enhanced these maps significantly. Conclusion: Estimating delays between neighbors is an interesting option for activation map computation in ECGi.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/
dc.subject.enElectrocardiography
dc.subject.enElectrophysiology
dc.subject.enInverse problems
dc.title.enSpatially Coherent Activation Maps for Electrocardiographic Imaging
dc.typeArticle de revue
dc.identifier.doi10.1109/TBME.2016.2593003
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
bordeaux.journalIEEE Transactions on Biomedical Engineering
bordeaux.page1149-1156
bordeaux.volume64
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01386890
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01386890v1
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