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Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation

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Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation

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dc.contributor.author Molero-Alabau, Rubén es_ES
dc.contributor.author Gonzalez-Ascaso, Ana es_ES
dc.contributor.author Hernández-Romero, Ismael es_ES
dc.contributor.author Lundbäck-Mompó, David es_ES
dc.contributor.author Andreu M. Climent es_ES
dc.contributor.author Guillem Sánchez, María Salud es_ES
dc.date.accessioned 2023-06-28T18:00:48Z
dc.date.available 2023-06-28T18:00:48Z
dc.date.issued 2022-08-29 es_ES
dc.identifier.issn 1664-042X es_ES
dc.identifier.uri http://hdl.handle.net/10251/194583
dc.description.abstract [EN] Introduction: Electrocardiographic Imaging (ECGI) allows computing the electrical activity in the heart non-invasively using geometrical information of the patient and multiple body surface signals. In the present study we investigate the influence of the number of nodes of geometrical meshes and recording ECG electrodes distribution to compute ECGI during atrial fibrillation (AF).Methods: Torso meshes from 100 to 2000 nodes heterogeneously and homogeneously distributed were compared. Signals from nine AF realistic mathematical simulations were used for computing the ECGI. Results for each torso mesh were compared with the ECGI computed with a 4,000 nodes reference torso. In addition, real AF recordings from 25 AF patients were used to compute ECGI in torso meshes from 100 to 1,000 nodes. Results were compared with a reference torso of 2000 nodes. Torsos were remeshed either by reducing the number of nodes while maximizing the overall shape preservation and then assigning the location of the electrodes as the closest node in the new mesh or by forcing the remesher to place a node at each electrode location. Correlation coefficients, relative difference measurements and relative difference of dominant frequencies were computed to evaluate the impact on signal morphology of each torso mesh.Results: For remeshed torsos where electrodes match with a geometrical node in the mesh, all mesh densities presented similar results. On the other hand, in torsos with electrodes assigned to closest nodes in remeshed geometries performance metrics were dependent on mesh densities, with correlation coefficients ranging from 0.53 +/- 0.06 to 0.92 +/- 0.04 in simulations or from 0.42 +/- 0.38 to 0.89 +/- 0.2 in patients. Dominant frequency relative errors showed the same trend with values from 1.14 +/- 0.26 to 0.55 +/- 0.21 Hz in simulations and from 0.91 +/- 0.56 to 0.45 +/- 0.41 Hz in patients.Conclusion: The effect of mesh density in ECGI is minimal when the location of the electrode is preserved as a node in the mesh. Torso meshes constructed without imposing electrodes to constitute nodes in the torso geometry should contain at least 400 nodes homogeneously distributed so that a distance between nodes is below 4 cm. es_ES
dc.description.sponsorship This work was supported by: Instituto de Salud Carlos III, and Ministerio de Ciencia e Innovacion (supported by FEDER Fondo Europeo de Desarrollo Regional PI17/01106, PEJ2018003617 and RYC2018-024346-I), EIT Health (Activity code 220385, EIT Health is supported by EIT, a body of the European Union), Generalitat Valenciana Conselleria d'Educacio, Investigacio, Cultura i Esport (ACIF/2020/265) and Spanish Agencia Estatal de Investigacion (AEI), part of the Ministerio de Ciencia e Innovacion, reference PID2020-119364RB-I00. es_ES
dc.language Inglés es_ES
dc.publisher Frontiers Media SA es_ES
dc.relation.ispartof Frontiers in Physiology es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Electrocardiographic imaging es_ES
dc.subject Geometry es_ES
dc.subject Torso es_ES
dc.subject Atrial fibrillation es_ES
dc.subject Mesh density es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/fphys.2022.908364 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/INSTITUTO DE SALUD CARLOS III//PI17%2F01106//ESTRATIFICACION Y TRATAMIENTO DE LA FIBRILACION AURICULAR BASADA EN LOS MECANISMOS DE PERPETUACION DE LA ARRITMIA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119364RB-I00/ES/DESARROLLO DE UNA HERRAMIENTA DE MAPEO PANORAMICO PARA LA EVALUACION DE SUSTRATOS ELECTRO-ESTRUCTURALES PARA GUIAR LA ABLACION DE LA FIBRILACION AURICULAR UTILIZANDO AI/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//RYC2018-024346-I//AYUDA CONTRATO RAMON Y CAJAL-MARTINEZ CLIMENT/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//ACIF%2F2020%2F265//AYUDA PREDOCTORAL GVA-MOLERO ALABAU. PROYECTO: ESTIMACION DE LA COMPLEJIDAD ELECTRICA AURICULAR DURANTE LA FIBRILACION AURICULAR/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EIT Health//220385/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//PEJ2018-003617/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Molero-Alabau, R.; Gonzalez-Ascaso, A.; Hernández-Romero, I.; Lundbäck-Mompó, D.; Andreu M. Climent; Guillem Sánchez, MS. (2022). Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation. Frontiers in Physiology. 13:1-10. https://doi.org/10.3389/fphys.2022.908364 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3389/fphys.2022.908364 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 13 es_ES
dc.identifier.pmid 36105286 es_ES
dc.identifier.pmcid PMC9465032 es_ES
dc.relation.pasarela S\477580 es_ES
dc.contributor.funder EIT Health es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder INSTITUTO DE SALUD CARLOS III es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
upv.costeAPC 3630 es_ES


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