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Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

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Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest

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Chicote, B.; Irusta, U.; Alcaraz, R.; Rieta, JJ.; Aramendi, E.; Isasi, I.; Alonso, D.... (2016). Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest. Entropy. 18(9):1-17. doi:10.3390/e18090313

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/78821

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Title: Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest
Author:
UPV Unit: Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Universitat Politècnica de València. Grupo de ingeniería en bioseñales e imagen radiológica
Issued date:
Abstract:
Prediction of defibrillation success is of vital importance to guide therapy and improve the survival of patients suffering out-of-hospital cardiac arrest (OHCA). Currently, the most efficient methods to predict shock ...[+]
Subjects: Ventricular fibrillation , Defibrillation , Shock outcome prediction , Out-of-hospital cardiac arrest , Non-linear dynamics , Entropy measures , Regularity-based entropies , Predictability-based entropies , Fuzzy entropy
Copyrigths: Reconocimiento (by)
Source:
Entropy. (issn: 1099-4300 )
DOI: 10.3390/e18090313
Publisher:
MDPI
Publisher version: http://dx.doi.org/10.3390/e18090313
Thanks:
This work received financial support from Spanish Ministerio de Economia y Competitividad, projects TEC2013-31928 and TEC2014-52250-R, and jointly with the Fondo Europeo de Desarrollo Regional (FEDER), project TEC2015-64678-R; ...[+]
Type: Artículo

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