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A Patchwork Method to Improve the Performance of Current Methods for Solving the Inverse Problem of Electrocardiography

hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierIHU-LIRYC
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorBOUHAMAMA, Oumayma
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorPOTSE, Mark
hal.structure.identifierIHU-LIRYC
dc.contributor.authorBEAR, Laura
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
hal.structure.identifierIHU-LIRYC
dc.contributor.authorWEYNANS, Lisl
dc.date.accessioned2024-04-04T02:36:54Z
dc.date.available2024-04-04T02:36:54Z
dc.date.issued2023-01
dc.identifier.issn0018-9294
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190759
dc.description.abstractEnObjective: Noninvasive electrocardiographic imaging (ECGI) reconstructs cardiac electrical activity from body surface potential measurements. However, current methods have demonstrated inaccuracies in reconstructing sinus rhythm, and in particular breakthrough sites. This study aims to combine existing inverse algorithms, making the most of their advantages while minimizing their limitations. Method: The “patchwork method” (PM) combines two classical numerical methods for ECGI: the method of fundamental solutions (MFS) and the finite-element method (FEM). We assume that the method with the smallest residual in the predicted torso potentials, computed using the boundary element method (BEM), provides the most accurate solution. The PM selects for each heart node and time step the method whose estimated reconstruction error is smallest. The performance of the PM was evaluated using simulated ectopic and normal ventricular beats. Results: Cardiac potentials and activation maps obtained with the PM (CC = 0.63 ± 0.01 and 0.61 ± 0.05 respectively) were more accurate than MFS (CC = 0.61 ± 0.01 and 0.48 ± 0.05 respectively), FEM (CC = 0.58 ± 0.01 and 0.51 ± 0.02 respectively) or BEM (CC = 0.57 ± 0.02 and 0.49 ± 0.02 respectively). The PM also located all epicardial breakthrough sites, whereas the traditional numerical methods usually missed one. Furthermore, the PM showed its robustness and stability in the presence of Gaussian noise added to the torso potentials. Conclusion: The PM overcomes some of the limitations of classical numerical methods, improving the accuracy of mapping important features of activation during sinus rhythm and paced beats. Significance: This novel method for optimizing ECGI solutions opens a new avenue for improving not only ECGI but also other inverse problems.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.title.enA Patchwork Method to Improve the Performance of Current Methods for Solving the Inverse Problem of Electrocardiography
dc.typeArticle de revue
dc.identifier.doi10.1109/TBME.2022.3184473
dc.subject.halMathématiques [math]/Analyse numérique [math.NA]
bordeaux.journalIEEE Transactions on Biomedical Engineering
bordeaux.page55-66
bordeaux.volume70
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue1
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03913730
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03913730v1
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