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

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

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 resus...

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Bibliographic Details
Main Authors: Beatriz Chicote, Unai Irusta, Elisabete Aramendi, Raúl Alcaraz, José Joaquín Rieta, Iraia Isasi, Daniel Alonso, María del Mar Baqueriza, Karlos Ibarguren
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Entropy
Subjects:
ventricular fibrillation
defibrillation
shock outcome prediction
out-of-hospital cardiac arrest
entropy measures
fuzzy entropy
sample entropy
cardiopulmonary resuscitation
Online Access:http://www.mdpi.com/1099-4300/20/8/591

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