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Refined Electrical Cardioversion Outcome Prediction with Bipolar Surface Standard Leads for Patients in Persistent Atrial Fibrillation

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Refined Electrical Cardioversion Outcome Prediction with Bipolar Surface Standard Leads for Patients in Persistent Atrial Fibrillation

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dc.contributor.author Cirugeda, Eva M. es_ES
dc.contributor.author Calero, Sofía es_ES
dc.contributor.author Quesada, Aurelio es_ES
dc.contributor.author Hidalgo, Víctor M. es_ES
dc.contributor.author Rieta, J J es_ES
dc.contributor.author Alcaraz, Raúl es_ES
dc.date.accessioned 2022-01-18T08:12:21Z
dc.date.available 2022-01-18T08:12:21Z
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/10251/179816
dc.description © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. es_ES
dc.description.abstract [EN] For persistent atrial fibrillation (AF), a low-cost, simple and effective rhythm control strategy is electrical cardioversion (ECV). This procedure presents high mid- and long-term AF recurrence rates, so anticipation of its outcome could avoid patients with high likelihood of relapsing to AF. To this end and considering the proximity of lead V1 to the right atrium, different parameters assessing fibrillatory (f-) waves reflected on this lead have been recently proposed. However, information from other leads have been mostly discarded. This study hence evaluates the effectiveness of several common parameters computed over the whole set of 12 standard ECG leads to predict ECV outcome with respect to just V1. The results for the amplitude of the f-waves, their dominant frequency and their regularity have shown better predictive abilities from limb lead II than from V1, thus providing improvements between 5 and 12% in the classification rates between patients who relapsed to AF and maintained SR during a follow-up of 4 weeks. Consequently, accessible limb lead II seems to be the best choice to anticipate ECV outcome from the ECG. es_ES
dc.description.sponsorship This research was funded by projects: DPI2017-83952-C3 from MINECO/AEI/FEDER EU, SBPLY/17/180501/000411 from "Junta de Castilla la Mancha" and AICO/2019/036 from "Generalitat Valenciana". 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.relation.ispartofseries E-Health and Bioengineering Conference es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Atrial fibrillation es_ES
dc.subject Electrical cardioversion es_ES
dc.subject Atrial activity es_ES
dc.subject Sample entropy es_ES
dc.subject 12-Lead electrocardiogram es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Refined Electrical Cardioversion Outcome Prediction with Bipolar Surface Standard Leads for Patients in Persistent Atrial Fibrillation es_ES
dc.type Comunicación en congreso es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1109/EHB50910.2020.9280293 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. Instituto Universitario Mixto Tecnológico de Informática - Institut Universitari Mixt Tecnològic d'Informàtica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Cirugeda, EM.; Calero, S.; Quesada, A.; Hidalgo, VM.; Rieta, JJ.; Alcaraz, R. (2020). Refined Electrical Cardioversion Outcome Prediction with Bipolar Surface Standard Leads for Patients in Persistent Atrial Fibrillation. IEEE. 1-4. https://doi.org/10.1109/EHB50910.2020.9280293 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/EHB50910.2020.9280293 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\433203 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Junta de Comunidades de Castilla-La Mancha es_ES


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