Automated detection of shockable ECG signals: A review
Sudden cardiac death from lethal arrhythmia is a preventable cause of death. Ventricular
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
Deep neural networks for ECG-based pulse detection during out-of-hospital cardiac arrest
The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary
for the early recognition of the arrest and the detection of return of spontaneous circulation …
for the early recognition of the arrest and the detection of return of spontaneous circulation …
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 …
ECG-based classification of resuscitation cardiac rhythms for retrospective data analysis
Objective: There is a need to monitor the heart rhythm in resuscitation to improve treatment
quality. Resuscitation rhythms are categorized into: ventricular tachycardia (VT), ventricular …
quality. Resuscitation rhythms are categorized into: ventricular tachycardia (VT), ventricular …
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 …
Machine learning techniques for the detection of shockable rhythms in automated external defibrillators
Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival
of out-of-hospital cardiac arrest (OHCA) patients treated with automated external …
of out-of-hospital cardiac arrest (OHCA) patients treated with automated external …
Deep neural network approach for continuous ECG‐based automated external defibrillator shock advisory system during cardiopulmonary resuscitation
S Hajeb‐M, A Cascella, M Valentine… - Journal of the American …, 2021 - Am Heart Assoc
Background Because chest compressions induce artifacts in the ECG, current automated
external defibrillators instruct the user to stop cardiopulmonary resuscitation (CPR) while an …
external defibrillators instruct the user to stop cardiopulmonary resuscitation (CPR) while an …
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 …
Intelligent and efficient detection of life-threatening ventricular arrhythmias in short segments of surface ECG signals
D Lai, X Fan, Y Zhang, W Chen - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Ventricular fibrillation (VF) and rapid ventricular tachycardia (VT) of a heart rate over 180
beats min-1, commonly known as shockable rhythms (ShR), are life-threatening ventricular …
beats min-1, commonly known as shockable rhythms (ShR), are life-threatening ventricular …
Overview of Machine Learning and Deep Learning Approaches for Detecting Shockable Rhythms in AED in the Absence or Presence of CPR
Sudden Cardiac Arrest (SCA) is one of the leading causes of death worldwide. Therefore,
timely and accurate detection of such arrests and immediate defibrillation support for the …
timely and accurate detection of such arrests and immediate defibrillation support for the …