dc.contributor.author | Chicote Gutiérrez, Beatriz | |
dc.contributor.author | Irusta Zarandona, Unai | |
dc.contributor.author | Aramendi Ecenarro, Elisabete | |
dc.contributor.author | Alcaraz, Raúl | |
dc.contributor.author | Rieta, José Joaquín | |
dc.contributor.author | Isasi Liñero, Iraia | |
dc.contributor.author | Alonso, Daniel | |
dc.contributor.author | Baqueriza, María del Mar | |
dc.contributor.author | Ibarguren, Karlos | |
dc.date.accessioned | 2019-03-04T14:26:39Z | |
dc.date.available | 2019-03-04T14:26:39Z | |
dc.date.issued | 2018-08 | |
dc.identifier.citation | Entropy 20(8) : (2018) // Article ID 591 | es_ES |
dc.identifier.issn | 1099-4300 | |
dc.identifier.uri | http://hdl.handle.net/10810/31834 | |
dc.description.abstract | 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.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/TEC2015-64678-R | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/DPI2017-83952-C3 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/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 | American-Heart-Association | es_ES |
dc.subject | automated external defibrillators | es_ES |
dc.subject | European Resuscitation Council | es_ES |
dc.subject | chest compression pauses | es_ES |
dc.subject | amplitude spectrum area | es_ES |
dc.subject | wave-form measures | es_ES |
dc.subject | approximate entropy | es_ES |
dc.subject | countershock success | es_ES |
dc.subject | rate-variability | 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 | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0). | es_ES |
dc.rights.holder | Atribución 3.0 España | * |
dc.relation.publisherversion | https://www.mdpi.com/1099-4300/20/8/591 | es_ES |
dc.identifier.doi | 10.3390/e20080591 | |
dc.departamentoes | Ingeniería de comunicaciones | es_ES |
dc.departamentoeu | Komunikazioen ingeniaritza | es_ES |