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dc.contributor.author | De la Nava, A. S. | es_ES |
dc.contributor.author | Fabregat, M. C. | es_ES |
dc.contributor.author | Rodrigo, M. | es_ES |
dc.contributor.author | Hernández, I. | es_ES |
dc.contributor.author | Liberos, A. | es_ES |
dc.contributor.author | Fernández-Avilés, F. | es_ES |
dc.contributor.author | Guillem Sánchez, María Salud | es_ES |
dc.contributor.author | Atienza, F. | es_ES |
dc.contributor.author | Climent, Andreu M. | es_ES |
dc.date.accessioned | 2022-02-25T07:43:27Z | |
dc.date.available | 2022-02-25T07:43:27Z | |
dc.date.issued | 2019-09-11 | es_ES |
dc.identifier.isbn | 978-1-7281-6936-1 | es_ES |
dc.identifier.issn | 2325-887X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/181092 | |
dc.description.abstract | [EN] Success rate of atrial fibrillation (AF) ablation remains far from satisfactory. In this study, a 6 months AF freedom predictive model based on Fuzzy Entropy of non-invasive body surface potential maps is compared with clinical predictors. The study included 29 patients referred for pulmonary vein isolated catheter ablation procedure. Non-invasive electrocardiographic mapping with 54 ECG electrodes was recorded for all patients during the ablation procedure. Six months follow up was used to evaluate the efficacy of the ablation procedure. Predictions based on non-invasive electrocardiographic mappings during adenosine infusion (accuracy: 90%, AUC: 0.93) showed a clear improvement over standard-of-care clinical parameter models (accuracy: 62.1%, AUC: 0. 54). Our results indicate that measurements of electrophysiological complexity of AF signals could improve the clinical practice by predicting the efficacy of AF ablation procedures. | es_ES |
dc.description.sponsorship | This work was supported by the Instituto de Salud Carlos III FEDER (DTS16/00160; PI16/01123; PI17/01059; PI17/01106; EIT-Health 19600 AFFINE) | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation.ispartof | 2019 Computing in Cardiology (CinC). Proceedings | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Artículo | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.22489/CinC.2019.299 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI16%2F01123/ES/Regeneración Cardiaca de Infarto Crónico Porcino mediante Inyecciónes Intramiocardiacas de Células Progenitoras Embebidas en Hidrogeles de Matriz Decelularizada/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI16%2F01123//Regeneración Cardiaca de Infarto Crónico Porcino mediante Inyecciónes Intramiocardiacas de Células Progenitoras Embebidas en Hidrogeles de Matriz Decelularizada/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ISCIII//PI17%2F01059/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DTS16%2F0160//Guiado en Tiempo Real de la Ablación de la Fibrilación Auricular mediante Cartografía Eléctrica Global (CORIFY)/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement///PI17%2F01106//ESTRATIFICACION Y TRATAMIENTO DE LA FIBRILACION AURICULAR BASADA EN LOS MECANISMOS DE PERPETUACION DE LA ARRITMIA/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica | es_ES |
dc.description.bibliographicCitation | De La Nava, AS.; Fabregat, MC.; Rodrigo, M.; Hernández, I.; Liberos, A.; Fernández-Avilés, F.; Guillem Sánchez, MS.... (2019). Non-Invasive Electrophysiological Mapping Entropy Predicts Atrial Fibrillation Ablation Efficacy Better Than Clinical Characteristics. IEEE. 1-4. https://doi.org/10.22489/CinC.2019.299 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 46th Computing in Cardiology Conference (CinC 2019) | es_ES |
dc.relation.conferencedate | Septiembre 08-11,2019 | es_ES |
dc.relation.conferenceplace | Singapore | es_ES |
dc.relation.publisherversion | https://doi.org/10.22489/CinC.2019.299 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 4 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\410282 | es_ES |
dc.contributor.funder | EIT Health | es_ES |
dc.contributor.funder | Instituto de Salud Carlos III | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |