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hal.structure.identifierIHU-LIRYC
dc.contributor.authorMEO, Marianna
hal.structure.identifierIHU-LIRYC
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierIHU-LIRYC
dc.contributor.authorPUYO, Stéphane
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorBEAR, Laura
hal.structure.identifierIHU-LIRYC
hal.structure.identifierHôpital Haut-Lévêque [CHU Bordeaux]
dc.contributor.authorHOCINI, Mélèze
hal.structure.identifierIHU-LIRYC
hal.structure.identifierHôpital Haut-Lévêque [CHU Bordeaux]
dc.contributor.authorHAÏSSAGUERRE, Michel
hal.structure.identifierIHU-LIRYC
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorDUBOIS, Rémi
dc.date.accessioned2024-04-04T03:09:30Z
dc.date.available2024-04-04T03:09:30Z
dc.date.conference2017-09-24
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193610
dc.description.abstractEnIntroduction Ventricular fibrillation (VF) is the main cause of sudden cardiac death. Despite its clinical significance, there is still a lack of quantitative tools to evaluate the degree of myocardial electrical organization during VF. This study puts forward novels markers of VF complexity and stability on body surface potential maps (BSPMs), uantifying the ability of signal features determined through principal component analysis (PCA) to be retrieved along the recording.Methods Biventricular potential mapping was performed through a 252-electrode vest in 27 VF patients (25 male, 49 ± 22 years). BSPMs were divided in 0:5-s segments, each projected on a 3D subspace determined through PCA in the preceding segment. At each time instant, the multilead error E between the input signal and its PCA approximation was expressed in terms of normalized amplitude norm |E| and angle cos(E). Additionally, the nondipolar component index (NDI) was determined as the fraction of energy retained by the first 3 PCA eigenvalues in sliding windows of the same duration. In 24 VF recordings (duration 19.8±6.5 s), average values of the aforementioned indices were computed in 4-second windows at the beginning and at the end of the outputparameter series. Temporal changes in VF complexity were verified through an unpaired Student’s t-test. The same analysis was performed in 5 control recordings in sinus rhythm (SR). Results A significant increase in spatiotemporal complexity was observed during VF, quantified by higher NDI and |E| and lower cos(E) values at the end of the episode (p < 0:0001). By contrast, no significant changes between the beginning and the end of the recording were observed during SR (p > 0:05).Conclusions This study demonstrates the ability of PCA to capture and quantify changes in signal complexity during VF in a noninvasive framework.
dc.language.isoen
dc.title.enNon Invasive Assessment of Spatiotemporal Organization of Ventricular Fibrillation through Principal Component Analysis
dc.typeCommunication dans un congrès
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
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.cityRennes
bordeaux.peerReviewedoui
hal.identifierhal-01567972
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2017-09-27
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01567972v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.au=MEO,%20Marianna&amp;POTSE,%20Mark&amp;PUYO,%20St%C3%A9phane&amp;BEAR,%20Laura&amp;HOCINI,%20M%C3%A9l%C3%A8ze&amp;rft.genre=unknown


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