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dc.contributor.author | Ródenas, Juan | es_ES |
dc.contributor.author | Escribano, Pilar | es_ES |
dc.contributor.author | Martinez-Iniesta, Miguel | es_ES |
dc.contributor.author | Garcia, Manuel | 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 | 2021-12-20T08:39:53Z | |
dc.date.available | 2021-12-20T08:39:53Z | |
dc.date.issued | 2020-09-16 | es_ES |
dc.identifier.issn | 2325-887X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/178603 | |
dc.description.abstract | [EN] Surgical ablation (SA) is the most effective procedure to terminate atrial fibrillation (AF) in patients requiring concomitant open-heart surgery. However, considering the great stress provoked in the patient¿s heart, along with the benefits of anticipating antiarrhythmic therapeutical decisions, preoperative prediction of long-term failure of the procedure is an interesting clinical challenge. Hence, the present work introduces a novel algorithm to anticipate SA outcome after one year of follow-up by just analyzing the surface ECG. The method firstly extracts fibrillatory waves reflected on standard lead V1 using an adaptive QRST cancellation approach. The resulting signal is then segmented into 1 s-length intervals and wavelet energy is computed for all of them. Finally, the coefficient of variation of the time series obtained for the 7th scale is computed. Analyzing 20 second-length preoperative ECG excerpts from 53 persistent AF patients undergoing concomitant openheart surgery, only the proposed method reported statistically significant differences between the patients who relapsed to AF and those who maintained sinus rhythm during the follow-up. The algorithm also provided values of sensitivity, specificity, and accuracy between 10 and 20% better than the well-established dominant atrial frequency and fibrillatory waves amplitude, thus suggesting to be a promising predictor of AF recurrence after SA. | 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 | CinC 2020. Computing in Cardiology, vol. 47 | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject.classification | TECNOLOGIA ELECTRONICA | es_ES |
dc.title | Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.22489/CinC.2020.393 | 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 | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica | es_ES |
dc.description.bibliographicCitation | Ródenas, J.; Escribano, P.; Martinez-Iniesta, M.; Garcia, M.; Hornero, F.; Rieta, JJ.; Alcaraz, R. (2020). Time Variability of Fibrillatory Waves Energy Predicts Long-Term Outcome of Atrial Fibrillation Concomitant Surgical Ablation. IEEE. 1-4. https://doi.org/10.22489/CinC.2020.393 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 47th Computing in Cardiology Conference (CinC 2020) | es_ES |
dc.relation.conferencedate | Septiembre 13-16,2020 | es_ES |
dc.relation.conferenceplace | Rimini, Italia | es_ES |
dc.relation.publisherversion | https://doi.org/10.22489/CinC.2020.393 | 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\433033 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Junta de Comunidades de Castilla-La Mancha | es_ES |