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dc.contributor.author | Molero-Alabau, Rubén | es_ES |
dc.contributor.author | Hernández-Romero, Ismael | es_ES |
dc.contributor.author | M. Climent, Andreu | es_ES |
dc.contributor.author | Guillem Sánchez, María Salud | es_ES |
dc.date.accessioned | 2024-04-11T11:29:12Z | |
dc.date.available | 2024-04-11T11:29:12Z | |
dc.date.issued | 2023-03 | es_ES |
dc.identifier.issn | 1746-8094 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/203395 | |
dc.description.abstract | [EN] Background and objective: Electrocardiographic imaging (ECGI) has been used for guiding atrial fibrillation (AF) ablation, identifying reentrant activity by phase analysis with promising results. The objective of this study is to identify the best post-processing configuration for reentrant activity detection that better differentiates AF pa-tients with different prognoses after catheter ablation.Methods: ECGI signals of 24 AF patients before pulmonary vein isolation (PVI) were recorded. Patients were classified based on recurrence 6 months after PVI. Reentrant metrics were compared using 3 types of post -processing: none, sinusoidal recomposition (SRC), and narrow band-pass filtering centered at the highest dominant frequency (NB HDF). Different thresholds for rotor duration were also compared (0.5, 1, and 1.5 turns). Results: The use of raw ECGI signals with a threshold of 1 turn presented the optimal processing to identify PVI-positive responders (p < 0.05). NB HDF showed a better ability to find statistical differences between patients than SRC.Conclusion: Aggressive filtering of AF ECGI signals does not improve rotor identification to predict PVI outcome. Restrictive rotor duration thresholds diminish patient stratification. This definition of a post-processing strategy that allows patient stratification can be used for the improvement of the standard of care for finding the best candidates for PVI. | es_ES |
dc.description.sponsorship | This work was supported in part by: Instituto de Salud Carlos III FEDER (Fondo Europeo de Desarrollo Regional PI17/01106) , Agencia Estatal de Investigacion (RYC2018-024346-I and PID2020-119364RB-100) , Generalitat Valenciana Grants (ACIF/2020/265) and EIT Health (Activity code 19600) EIT Health is supported by EIT, a body of the European Union. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Biomedical Signal Processing and Control | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Atrial fibrillation | es_ES |
dc.subject | Electrocardiographic imaging | es_ES |
dc.subject | Inverse problem | es_ES |
dc.subject | Rotors | es_ES |
dc.subject | Signal processing | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Filtering strategies of electrocardiographic imaging signals for stratification of atrial fibrillation patients | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.bspc.2022.104438 | 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/ISCIII/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 (ISCIII)/PI17%2F01106/ES/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/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/AGENCIA ESTATAL DE INVESTIGACION//RYC2018-024346-I//AYUDA ADICIONAL RAMON Y CAJAL/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/FEDER//EITHealth 19600 AFFINE/ | 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.; Hernández-Romero, I.; M. Climent, A.; Guillem Sánchez, MS. (2023). Filtering strategies of electrocardiographic imaging signals for stratification of atrial fibrillation patients. Biomedical Signal Processing and Control. 81. https://doi.org/10.1016/j.bspc.2022.104438 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.bspc.2022.104438 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 81 | es_ES |
dc.relation.pasarela | S\484693 | 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 | Universitat Politècnica de València | es_ES |