Optimization of end-to-end convolutional neural networks for analysis of out-of-hospital cardiac arrest rhythms during cardiopulmonary resuscitation
I Jekova, V Krasteva - Sensors, 2021 - mdpi.com
High performance of the shock advisory analysis of the electrocardiogram (ECG) during
cardiopulmonary resuscitation (CPR) in out-of-hospital cardiac arrest (OHCA) is important …
cardiopulmonary resuscitation (CPR) in out-of-hospital cardiac arrest (OHCA) is important …
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-
of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning …
of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning …
Rhythm analysis during cardiopulmonary resuscitation using convolutional neural networks
Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG
that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The …
that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The …
Optimizing defibrillation during cardiac arrest
G Babini, L Ruggeri, G Ristagno - Current Opinion in Critical Care, 2021 - journals.lww.com
Real-time ECG analysis and AMSA have the potential to predict ventricular fibrillation
termination, return of spontaneous circulation and even survival, with discretely high …
termination, return of spontaneous circulation and even survival, with discretely high …
A machine learning shock decision algorithm for use during piston-driven chest compressions
Goal: Accurate shock decision methods during piston-driven cardiopulmonary resuscitation
(CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The …
(CPR) would contribute to improve therapy and increase cardiac arrest survival rates. The …
Automatic cardiac rhythm classification with concurrent manual chest compressions
Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA)
rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy …
rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy …
Enhancing the accuracy of shock advisory algorithms in automated external defibrillators during ongoing cardiopulmonary resuscitation using a deep convolutional …
S Hajeb-M, A Cascella, M Valentine… - Expert Systems with …, 2022 - Elsevier
Survival from out-of-hospital cardiac arrests (OHCA) depends on an accurate defibrillatory
shock decision during cardiopulmonary resuscitation (CPR). Since chest compressions …
shock decision during cardiopulmonary resuscitation (CPR). Since chest compressions …
[HTML][HTML] Extracting physiologic and clinical data from defibrillators for research purposes to improve treatment for patients in cardiac arrest
T Nordseth, T Eftestøl, E Aramendi, JT Kvaløy… - Resuscitation …, 2024 - Elsevier
Background A defibrillator should be connected to all patients receiving cardiopulmonary
resuscitation (CPR) to allow early defibrillation. The defibrillator will collect signal data such …
resuscitation (CPR) to allow early defibrillation. The defibrillator will collect signal data such …
Automatic detection of ventilations during mechanical cardiopulmonary resuscitation
Feedback on chest compressions and ventilations during cardiopulmonary resuscitation
(CPR) is important to improve survival from out-of-hospital cardiac arrest (OHCA). The …
(CPR) is important to improve survival from out-of-hospital cardiac arrest (OHCA). The …
Restoration of the electrocardiogram during mechanical cardiopulmonary resuscitation
Objective: An artefact-free electrocardiogram (ECG) is essential during cardiac arrest to
decide therapy such as defibrillation. Mechanical cardiopulmonary resuscitation (CPR) …
decide therapy such as defibrillation. Mechanical cardiopulmonary resuscitation (CPR) …