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Space rescaling in the MFS method improves the ECGI reconstruction

hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorMIGERDITICHAN, Pauline
hal.structure.identifierIHU-LIRYC
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorZEMZEMI, Nejib
dc.date.accessioned2024-04-04T02:58:02Z
dc.date.available2024-04-04T02:58:02Z
dc.date.conference2019-09-08
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192616
dc.description.abstractEnThe method of fundamental solutions (MFS) has been extensively used for the electrocardiographic imaging (ECGI) inverse problem. One of its advantages is that it is a meshless method. We remarked that the using cm instead of mm as a space unit has a high impact on the reconstructed inverse solution. Our purpose is to refine this observation, by introducing a rescaling coefficient in space and study its effect on the MFS inverse solution. Results are provided using simulated test data prepared using a reaction-diffusion model. We then computed the ECGI inverse solution for rescaling coefficient values varying from 1 to 100, and computed the relative error (RE) and correlation coefficient (CC). This approach improved the RE and CC by at least 10% but can go up to 40% independently of the pacing site. We concluded that the optimal coefficient depends on the heterogeneity and anisotropy of the torso and does not depend on the stimulation site. This suggests that it is related to an optimal equivalent conductivity estimation in the torso domain.
dc.description.sponsorshipInnovations agro-écologiques et organisationnelles pour une Gestion Durable de la Qualité de l'Eau dans des régions de monoculture à forts niveaux d'intrants phytosanitaires - ANR-05-PADD-0010
dc.language.isoen
dc.title.enSpace rescaling in the MFS method improves the ECGI reconstruction
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleCinC 2019 - Computing in Cardiology 2019
bordeaux.countrySG
bordeaux.conference.citySingapour
bordeaux.peerReviewedoui
hal.identifierhal-02428142
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2019-09-11
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02428142v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=MIGERDITICHAN,%20Pauline&POTSE,%20Mark&ZEMZEMI,%20Nejib&rft.genre=unknown


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