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Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest

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Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest

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dc.contributor.author Chicote, Beatriz es_ES
dc.contributor.author Irusta, Unai es_ES
dc.contributor.author Aramendi, Elisabete es_ES
dc.contributor.author Alcaraz, R. es_ES
dc.contributor.author Rieta, J J es_ES
dc.contributor.author Isasi, Iraia es_ES
dc.contributor.author Alonso, Daniel es_ES
dc.contributor.author Baqueriza, María del Mar es_ES
dc.contributor.author Ibarguren, Karlos es_ES
dc.date.accessioned 2020-09-12T03:34:23Z
dc.date.available 2020-09-12T03:34:23Z
dc.date.issued 2018-08 es_ES
dc.identifier.issn 1099-4300 es_ES
dc.identifier.uri http://hdl.handle.net/10251/149932
dc.description.abstract [EN] Optimal defibrillation timing guided by ventricular fibrillation (VF) waveform analysis would contribute to improved survival of out-of-hospital cardiac arrest (OHCA) patients by minimizing myocardial damage caused by futile defibrillation shocks and minimizing interruptions to cardiopulmonary resuscitation. Recently, fuzzy entropy (FuzzyEn) tailored to jointly measure VF amplitude and regularity has been shown to be an efficient defibrillation success predictor. In this study, 734 shocks from 296 OHCA patients (50 survivors) were analyzed, and the embedding dimension (m) and matching tolerance (r) for FuzzyEn and sample entropy (SampEn) were adjusted to predict defibrillation success and patient survival. Entropies were significantly larger in successful shocks and in survivors, and when compared to the available methods, FuzzyEn presented the best prediction results, marginally outperforming SampEn. The sensitivity and specificity of FuzzyEn were 83.3% and 76.7% when predicting defibrillation success, and 83.7% and 73.5% for patient survival. Sensitivities and specificities were two points above those of the best available methods, and the prediction accuracy was kept even for VF intervals as short as 2s. These results suggest that FuzzyEn and SampEn may be promising tools for optimizing the defibrillation time and predicting patient survival in OHCA patients presenting VF. es_ES
dc.description.sponsorship This work received financial support from Spanish Ministerio de Economia y Competitividad and jointly with the Fondo Europeo de Desarrollo Regional (FEDER), projects TEC2015-64678-R and DPI2017-83952-C3; from UPV/EHU through the grant PIF15/190 and through project GIU17/031; from the Basque Government through grant PRE-2016-1-0012; and from Junta de Comunidades de Castilla-La Mancha through SBPLY/17/180501/000411. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Entropy es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Ventricular fibrillation es_ES
dc.subject Defibrillation es_ES
dc.subject Shock outcome prediction es_ES
dc.subject Out-of-hospital cardiac arrest es_ES
dc.subject Entropy measures es_ES
dc.subject Fuzzy entropy es_ES
dc.subject Sample entropy es_ES
dc.subject Cardiopulmonary resuscitation es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/e20080591 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2015-64678-R/ES/HACIA LA MONITORIZACION INTELIGENTE EN EL ENTORNO DE LA RESUCITACION CARDIOPULMONAR/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV%2FEHU//PIF15%2F190/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV%2FEHU//GIU17%2F031/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Eusko Jaurlaritza//PRE-2016-1-0012/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JCCM//SBPLY%2F17%2F180501%2F000411/ 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.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 Chicote, B.; Irusta, U.; Aramendi, E.; Alcaraz, R.; Rieta, JJ.; Isasi, I.; Alonso, D.... (2018). Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest. Entropy. 20(8):1-25. https://doi.org/10.3390/e20080591 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/e20080591 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 25 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 20 es_ES
dc.description.issue 8 es_ES
dc.relation.pasarela S\386365 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Gobierno Vasco/Eusko Jaurlaritza es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Junta de Comunidades de Castilla-La Mancha es_ES
dc.contributor.funder Universidad del País Vasco/Euskal Herriko Unibertsitatea es_ES
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