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 …
Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network
Ventricular tachycardia (VT) and ventricular fibrillation (VFib) are the life-threatening
shockable arrhythmias which require immediate attention. Cardiopulmonary resuscitation …
shockable arrhythmias which require immediate attention. Cardiopulmonary resuscitation …
Ventricular fibrillation and tachycardia classification using a machine learning approach
Q Li, C Rajagopalan, GD Clifford - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Correct detection and classification of ventricular fibrillation (VF) and rapid ventricular
tachycardia (VT) is of pivotal importance for an automatic external defibrillator and patient …
tachycardia (VT) is of pivotal importance for an automatic external defibrillator and patient …
Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model
Cardiovascular diseases (CVDs) are a group of heart and blood vessel ailments that can
cause chest pain and trouble breathing, especially while active. However, some patients …
cause chest pain and trouble breathing, especially while active. However, some patients …
Detection of life-threatening arrhythmias using feature selection and support vector machines
F Alonso-Atienza, E Morgado… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Early detection of ventricular fibrillation (VF) and rapid ventricular tachycardia (VT) is crucial
for the success of the defibrillation therapy. A wide variety of detection algorithms have been …
for the success of the defibrillation therapy. A wide variety of detection algorithms have been …
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network
Among various life-threatening cardiac disorders, ventricular tachycardia (VT) and
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
Detection of shockable ventricular arrhythmia using variational mode decomposition
Ventricular tachycardia (VT) and ventricular fibrillation (VF) are shockable ventricular cardiac
ailments. Detection of VT/VF is one of the important step in both automated external …
ailments. Detection of VT/VF is one of the important step in both automated external …
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 …
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 …