Nonlinear energy operators for defibrillation shock outcome prediction
Accurate prediction of shock success would avoid futile defibrillation attempts that may
damage the myocardium, and would help optimizing treatment decisions for out-of-hospital …
damage the myocardium, and would help optimizing treatment decisions for out-of-hospital …
Predicting Ventricular Defibrillation Results Using Learning Models: A Design Practice and Performance Analysis
DC Ling, MS Tsai, DA Ling… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
This work proposes a learning model to predict the outcome of electrical defibrillation from
ECG signals in ventricular fibrillation (VF) periods, which is a lethal situation happening …
ECG signals in ventricular fibrillation (VF) periods, which is a lethal situation happening …
Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches
M Sadrawi, WZ Sun, MHM Ma, CY Dai… - BioMed Research …, 2016 - Wiley Online Library
Good quality cardiopulmonary resuscitation (CPR) is the mainstay of treatment for managing
patients with out‐of‐hospital cardiac arrest (OHCA). Assessment of the quality of the CPR …
patients with out‐of‐hospital cardiac arrest (OHCA). Assessment of the quality of the CPR …
[PDF][PDF] Research Article Cardiopulmonary Resuscitation Pattern Evaluation Based on Ensemble Empirical Mode Decomposition Filter via Nonlinear Approaches
Good quality cardiopulmonary resuscitation (CPR) is the mainstay of treatment for managing
patients with out-of-hospital cardiac arrest (OHCA). Assessment of the quality of the CPR …
patients with out-of-hospital cardiac arrest (OHCA). Assessment of the quality of the CPR …