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hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierCenter for Computational Medicine in Cardiology [CCMC]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierInstitute of Computational Science
dc.contributor.authorKRAUSE, Dorian
hal.structure.identifierInstitute of Computational Science
dc.contributor.authorKROON, Wilco
hal.structure.identifierCardiocentro Ticino [Lugano]
dc.contributor.authorMURZILLI, Romina
hal.structure.identifierCardiocentro Ticino [Lugano]
dc.contributor.authorMUZZARELLI, Stefano
hal.structure.identifierCardiocentro Ticino [Lugano]
dc.contributor.authorREGOLI, François
hal.structure.identifierDepartment of Bioengineering [Politecnico Milano]
dc.contributor.authorCAIANI, Enrico G.
dc.contributor.authorPRINZEN, Frits W.
hal.structure.identifierCenter for Computational Medicine in Cardiology [CCMC]
hal.structure.identifierInstitute of Computational Science
dc.contributor.authorKRAUSE, Rolf
hal.structure.identifierCenter for Computational Medicine in Cardiology [CCMC]
dc.contributor.authorAURICCHIO, Angelo
dc.date.accessioned2024-04-04T03:20:13Z
dc.date.available2024-04-04T03:20:13Z
dc.date.issued2014-11-30
dc.identifier.issn1099-5129
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194572
dc.description.abstractEnAims Left-ventricular (LV) conduction disturbances are common in heart-failure patients and a left bundle-branch block (LBBB) ECG type is often seen. The precise cause of this pattern is uncertain and is probably variable between patients, ranging from proximal interruption of the left bundle branch to diffuse distal conduction disease in the working myocardium. Using realistic numerical simulation methods and patient-tailored model anatomies we investigated different hypotheses to explain the observed activation order on the LV endocardium, electrogram morphologies, and ECG features in two patients with heart failure and LBBB ECG.Methods Ventricular electrical activity was simulated using reaction-diffusion models with patient-specific anatomies. From the simulated action potentials, ECGs and cardiac electrograms were computed by solving the bidomain equation. Model parameters such as earliest activation sites, tissue conductivity, and densities of ionic currents were tuned to reproduce the measured signals.Results ECG morphology and activation order could be matched simultaneously. Local electrograms matched well at some sites, but overall the measured waveforms had deeper S waves than the simulated waveforms.Conclusion Tuning a reaction-diffusion model of the human heart to reproduce measured ECGs and electrograms is feasible and may provide insights in individual disease characteristics that cannot be obtained by other means.
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.title.enPatient-specific modelling of cardiac electrophysiology in heart-failure patients
dc.typeArticle de revue
dc.identifier.doi10.1093/europace/euu257
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
bordeaux.journalEP-Europace
bordeaux.pageiv56-iv61
bordeaux.volume16
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01080113
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01080113v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=EP-Europace&rft.date=2014-11-30&rft.volume=16&rft.spage=iv56-iv61&rft.epage=iv56-iv61&rft.eissn=1099-5129&rft.issn=1099-5129&rft.au=POTSE,%20Mark&KRAUSE,%20Dorian&KROON,%20Wilco&MURZILLI,%20Romina&MUZZARELLI,%20Stefano&rft.genre=article


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