[HTML][HTML] Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review
J Toy, N Bosson, S Schlesinger, M Gausche-Hill… - Resuscitation …, 2023 - Elsevier
Background Artificial intelligence (AI) has demonstrated significant potential in supporting
emergency medical services personnel during out-of-hospital cardiac arrest (OHCA) care; …
emergency medical services personnel during out-of-hospital cardiac arrest (OHCA) care; …
Transfer learning based deep network for signal restoration and rhythm analysis during cardiopulmonary resuscitation using only the ECG waveform
Y Gong, L Wei, S Yan, F Zuo, H Zhang, Y Li - Information Sciences, 2023 - Elsevier
Minimizing the interruption of cardiopulmonary resuscitation (CPR) is an important
technique to improve the survival of out-of-hospital cardiac arrest (OHCA) patients. Recent …
technique to improve the survival of out-of-hospital cardiac arrest (OHCA) patients. Recent …
The ability of machine learning algorithms to predict defibrillation success during cardiac arrest: A systematic review
M Sem, E Mastrangelo, D Lightfoot, T Aves, S Lin… - Resuscitation, 2023 - Elsevier
Objective To evaluate the existing knowledge on the effectiveness of machine learning (ML)
algorithms in predicting defibrillation success during in-and out-of-hospital cardiac arrest …
algorithms in predicting defibrillation success during in-and out-of-hospital cardiac arrest …
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design
Objective Optimizing timing of defibrillation by evaluating the likelihood of a successful
outcome could significantly enhance resuscitation. Previous studies employed conventional …
outcome could significantly enhance resuscitation. Previous studies employed conventional …
Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review.
N Bosson, S Schlesinger, M Gausche-Hill, S Stratton… - 2023 - escholarship.org
BACKGROUND: Artificial intelligence (AI) has demonstrated significant potential in
supporting emergency medical services personnel during out-of-hospital cardiac arrest …
supporting emergency medical services personnel during out-of-hospital cardiac arrest …
Recognition of Electrocardiogram Signal using Multi-class Kernel Support Vector Machine
AS Kumar, V Venkatraj, S Rathinam… - … and Smart Energy …, 2022 - ieeexplore.ieee.org
In this proposed work, an electrocardiogram (ECG) signal is classified using multi-class
kernel function based support vector machine (SVM) approach with optmized …
kernel function based support vector machine (SVM) approach with optmized …
[HTML][HTML] ECG waveform dataset for predicting defibrillation outcome in out-of-hospital cardiac arrested patients
The provided database of 260 ECG signals was collected from patients with out-of-hospital
cardiac arrest while treated by the emergency medical services. Each ECG signal contains a …
cardiac arrest while treated by the emergency medical services. Each ECG signal contains a …