Application of entropy-based features to predict defibrillation outcome in cardiac arrest
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 …
survival of patients suffering out-of-hospital cardiac arrest (OHCA). Currently, the most …
Shock decision algorithms for automated external defibrillators based on convolutional networks
Automated External Defibrillators (AED) incorporate a shock decision algorithm that
analyzes the patient's electrocardiogram (EKG), allowing lay persons to provide life saving …
analyzes the patient's electrocardiogram (EKG), allowing lay persons to provide life saving …
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 …
contribute to improved survival of out-of-hospital cardiac arrest (OHCA) patients by …
Signal Processing and machine learning contributions to rhythm analysis during cardiopulmonary resuscitation
I Isasi Liñero - 2020 - research.science.eus
Out-of-hospital cardiac arrest (OHCA) is characterized by the sudden loss of the cardiac
function, andcauses around 10% of the total mortality in developed countries. Survival from …
function, andcauses around 10% of the total mortality in developed countries. Survival from …
Nuevas técnicas de procesado para la predicción del éxito de la desfibrilación en la parada cardiorrespiratoria extrahospitalaria
B Chicote Gutiérrez - 2019 - euskadi.osasuna.ezagutzarenataria …
La muerte súbita cardíaca es una de las principales causas de muerte en los países
desarrollados, con una incidencia de alrededor de 40-50 casos por cada 100.000 …
desarrollados, con una incidencia de alrededor de 40-50 casos por cada 100.000 …
[引用][C] Development of a platform to manipulate multimodal data to evaluate the hemodynamic state of the patient during cardiac arrest using nonivasive sensors
G Zubia Garea - 2021
[引用][C] Aprendizaje automático para la anotación de ritmos en parada cardiorrespiratoria
E López Manibardo - 2019
[引用][C] Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest
B Chicote Gutiérrez, U Irusta Zarandona… - 2018 - MDPI
[引用][C] Predicción del éxito de la desfibrilación mediante entropía difusa en términos de recuperación de ritmo cardíaco regular, pulso y supervivencia
B Chicote Gutiérrez, U Irusta Zarandona… - 2018 - … Editorial de la Universidad del País …