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dc.contributor.author | García, Manuel | es_ES |
dc.contributor.author | Escribano, Pilar | es_ES |
dc.contributor.author | Ródenas, Juan | es_ES |
dc.contributor.author | Martínez-Iniesta, Miguel | es_ES |
dc.contributor.author | Hornero, Fernando | es_ES |
dc.contributor.author | Rieta, J J | es_ES |
dc.contributor.author | Alcaraz, Raúl | es_ES |
dc.date.accessioned | 2022-01-18T08:12:59Z | |
dc.date.available | 2022-01-18T08:12:59Z | |
dc.date.issued | 2020-10-30 | es_ES |
dc.identifier.isbn | 978-1-7281-8803-4 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/179844 | |
dc.description.abstract | [EN] To revert atrial fibrillation (AF) in patients requiring concomitant open-heart surgery, surgical ablation (SA) is one of the most effective procedures. However, this intervention is as- sociated with major side effects. Considering this limitation together with the benefits of anticipating antiarrhythmic treatment decisions, preoperative prediction of long-term outcome of SA is an interesting challenge. In the present work a novel algorithm to anticipate SA outcome after a follow-up of 12 months is introduced by just analyzing one lead from a preoperative electrocardiogram (ECG). Precisely, fibrillatory waves reflected on lead V1 are extracted using a QRST cancellation method. The obtained signal is divided into 1 s-length segments, which are decomposed into 8 time scales by making use a Wavelet transform. Finally, relative wavelet energy for each segment and scale is computed and the standard deviation of the time series for the 7th scale is obtained as a measure of organization of the fibrillatory waves. This index obtained statistically significant differences between the patients who maintained sinus rhythm and relapsed to AF during the follow-up. Moreover, it also yielded a discriminant ability about 75%, thus improving between 13 and 29% the one showed by other well-established parameters. | es_ES |
dc.description.sponsorship | This research has been supported by grants DPI2017-83952- C3 from MINECO/AEI/FEDER EU, SBPLY/17/ 180501/000411 from Junta de Comunidades de Castilla-la Mancha, and AICO/2019/036 from Generalitat Valenciana. Moreover, Pilar Escribano holds a graduate research scholarship from University of Castilla-La Mancha. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation.ispartof | 2020 E-Health and Bioengineering Conference (EHB) | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Atrial fibrillation | es_ES |
dc.subject | Electrocardigram | es_ES |
dc.subject | Wavelet energy | es_ES |
dc.subject | Surgical ablation | es_ES |
dc.subject | Outcome prediction | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Atrial Fibrillation Surgical Ablation Long-term Outcome Prediction Just with One Lead of the Preoperative Surface Electrocardiogram | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1109/EHB50910.2020.9280162 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-83952-C3-1-R/ES/ESTUDIO MULTICENTRICO PARA LA EVALUACION DEL SUSTRATO ARRITMOGENICO EN PACIENTES CON FIBRILACION AURICULAR. APLICACION A LA ABLACION POR CATETER/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/JCCM//SBPLY%2F17%2F180501%2F000411//Caracterización del sustrato auricular mediante análisis de señal como herramienta de asistencia procedimental en ablación por catéter de fibrilación auricular/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement///AICO%2F2019%2F036//METODOS DE DIAGNOSTICO Y TERAPIA PERSONALIZADA EN ABLACION POR CATETER DE ARRITMIAS CARDIACAS/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica | es_ES |
dc.description.bibliographicCitation | García, M.; Escribano, P.; Ródenas, J.; Martínez-Iniesta, M.; Hornero, F.; Rieta, JJ.; Alcaraz, R. (2020). Atrial Fibrillation Surgical Ablation Long-term Outcome Prediction Just with One Lead of the Preoperative Surface Electrocardiogram. IEEE. 1-4. https://doi.org/10.1109/EHB50910.2020.9280162 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 8th International Conference on e-Health and Bioengineering (EHB 2020) | es_ES |
dc.relation.conferencedate | Octubre 29-30,2020 | es_ES |
dc.relation.conferenceplace | Online | es_ES |
dc.relation.publisherversion | https://doi.org/10.1109/EHB50910.2020.9280162 | 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\433192 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Junta de Comunidades de Castilla-La Mancha | es_ES |