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

[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 a...

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Autores: Molero-Alabau, Rubén, Gonzalez-Ascaso, Ana, Hernández-Romero, Ismael, Lundbäck-Mompó, David, Andreu M. Climent|||0000-0002-7260-8811, Guillem Sánchez, María Salud|||0000-0001-5660-3693
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/194583
Acceso en línea:https://riunet.upv.es/handle/10251/194583
Access Level:acceso abierto
Palabra clave:Electrocardiographic imaging
Geometry
Torso
Atrial fibrillation
Mesh density
TECNOLOGIA ELECTRONICA
id ES_69065abf5dccf535fddd470d85cce2b3
oai_identifier_str oai:riunet.upv.es:10251/194583
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
title Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
spellingShingle Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
Molero-Alabau, Rubén
Electrocardiographic imaging
Geometry
Torso
Atrial fibrillation
Mesh density
TECNOLOGIA ELECTRONICA
title_short Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
title_full Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
title_fullStr Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
title_full_unstemmed Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
title_sort Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillation
dc.creator.none.fl_str_mv Molero-Alabau, Rubén
Gonzalez-Ascaso, Ana
Hernández-Romero, Ismael
Lundbäck-Mompó, David
Andreu M. Climent|||0000-0002-7260-8811
Guillem Sánchez, María Salud|||0000-0001-5660-3693
author Molero-Alabau, Rubén
author_facet Molero-Alabau, Rubén
Gonzalez-Ascaso, Ana
Hernández-Romero, Ismael
Lundbäck-Mompó, David
Andreu M. Climent|||0000-0002-7260-8811
Guillem Sánchez, María Salud|||0000-0001-5660-3693
author_role author
author2 Gonzalez-Ascaso, Ana
Hernández-Romero, Ismael
Lundbäck-Mompó, David
Andreu M. Climent|||0000-0002-7260-8811
Guillem Sánchez, María Salud|||0000-0001-5660-3693
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Electrónica
Escuela Técnica Superior de Ingeniería de Telecomunicación
Instituto Universitario de Tecnologías de la Información y Comunicaciones
EIT Health
GENERALITAT VALENCIANA
Instituto de Salud Carlos III
AGENCIA ESTATAL DE INVESTIGACION
European Regional Development Fund
Ministerio de Ciencia e Innovación
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Electrocardiographic imaging
Geometry
Torso
Atrial fibrillation
Mesh density
TECNOLOGIA ELECTRONICA
topic Electrocardiographic imaging
Geometry
Torso
Atrial fibrillation
Mesh density
TECNOLOGIA ELECTRONICA
description [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.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-08-29
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/194583
url https://riunet.upv.es/handle/10251/194583
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv INSTITUTO DE SALUD CARLOS III INSTITUTO DE SALUD CARLOS III PI17%2F01106 ESTRATIFICACION Y TRATAMIENTO DE LA FIBRILACION AURICULAR BASADA EN LOS MECANISMOS DE PERPETUACION DE LA ARRITMIA
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119364RB-I00 DESARROLLO DE UNA HERRAMIENTA DE MAPEO PANORAMICO PARA LA EVALUACION DE SUSTRATOS ELECTRO-ESTRUCTURALES PARA GUIAR LA ABLACION DE LA FIBRILACION AURICULAR UTILIZANDO AI
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 RYC2018-024346-I AYUDA CONTRATO RAMON Y CAJAL-MARTINEZ CLIMENT
Generalitat Valenciana https://doi.org/10.13039/501100003359 ACIF%2F2020%2F265 AYUDA PREDOCTORAL GVA-MOLERO ALABAU. PROYECTO: ESTIMACION DE LA COMPLEJIDAD ELECTRICA AURICULAR DURANTE LA FIBRILACION AURICULAR
EIT Health EIT Health 220385
Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 PEJ2018-003617
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers Media SA
publisher.none.fl_str_mv Frontiers Media SA
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Effects of torso mesh density and electrode distribution on the accuracy of electrocardiographic imaging during atrial fibrillationMolero-Alabau, RubénGonzalez-Ascaso, AnaHernández-Romero, IsmaelLundbäck-Mompó, DavidAndreu M. Climent|||0000-0002-7260-8811Guillem Sánchez, María Salud|||0000-0001-5660-3693Electrocardiographic imagingGeometryTorsoAtrial fibrillationMesh densityTECNOLOGIA ELECTRONICA[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.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.Frontiers Media SADepartamento de Ingeniería ElectrónicaEscuela Técnica Superior de Ingeniería de TelecomunicaciónInstituto Universitario de Tecnologías de la Información y ComunicacionesEIT HealthGENERALITAT VALENCIANAInstituto de Salud Carlos IIIAGENCIA ESTATAL DE INVESTIGACIONEuropean Regional Development FundMinisterio de Ciencia e InnovaciónRepositorio Institucional de la Universitat Politècnica de València Riunet20222022-08-29journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/194583reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengINSTITUTO DE SALUD CARLOS III INSTITUTO DE SALUD CARLOS III PI17%2F01106 ESTRATIFICACION Y TRATAMIENTO DE LA FIBRILACION AURICULAR BASADA EN LOS MECANISMOS DE PERPETUACION DE LA ARRITMIAAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-119364RB-I00 DESARROLLO DE UNA HERRAMIENTA DE MAPEO PANORAMICO PARA LA EVALUACION DE SUSTRATOS ELECTRO-ESTRUCTURALES PARA GUIAR LA ABLACION DE LA FIBRILACION AURICULAR UTILIZANDO AIAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 RYC2018-024346-I AYUDA CONTRATO RAMON Y CAJAL-MARTINEZ CLIMENTGeneralitat Valenciana https://doi.org/10.13039/501100003359 ACIF%2F2020%2F265 AYUDA PREDOCTORAL GVA-MOLERO ALABAU. PROYECTO: ESTIMACION DE LA COMPLEJIDAD ELECTRICA AURICULAR DURANTE LA FIBRILACION AURICULAREIT Health EIT Health 220385Ministerio de Ciencia e Innovación http://dx.doi.org/10.13039/501100004837 PEJ2018-003617open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1945832026-06-13T07:49:27Z
score 15.301629

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