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Listar por autor "Ibarguren, Karlos"

Mostrando ítems 1-2 de 2

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

Chicote, Beatriz; Irusta, Unai; Alcaraz, Raul; Rieta, J J; Aramendi, Elisabete; Isasi, Iraia; Alonso, Daniel; Ibarguren, Karlos (MDPI, 2016-09)

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

Chicote, Beatriz; Irusta, Unai; Aramendi, Elisabete; Alcaraz, R.; Rieta, J J; Isasi, Iraia; Alonso, Daniel; Baqueriza, María del Mar; Ibarguren, Karlos (MDPI AG, 2018-08)

[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 ...

Mostrando ítems 1-2 de 2