[HTML][HTML] 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 …
Ventricular fibrillation waveform analysis during chest compressions to predict survival from cardiac arrest
Background: Quantitative measures of the ventricular fibrillation (VF) ECG waveform can
assess myocardial physiology and predict cardiac arrest outcomes, making these measures …
assess myocardial physiology and predict cardiac arrest outcomes, making these measures …
[HTML][HTML] Different ventricular fibrillation types in low-dimensional latent spaces
The causes of ventricular fibrillation (VF) are not yet elucidated, and it has been proposed
that different mechanisms might exist. Moreover, conventional analysis methods do not …
that different mechanisms might exist. Moreover, conventional analysis methods do not …
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 …
A method to predict ventricular fibrillation shock outcome during chest compressions
Background Out-of-hospital ventricular fibrillation (VF) cardiac arrest is a leading cause of
death. Quantitative analysis of the VF electrocardiogram (ECG) can predict patient outcomes …
death. Quantitative analysis of the VF electrocardiogram (ECG) can predict patient outcomes …
Shock decision algorithms for automated external defibrillators based on convolutional networks
Automated External Defibrillators (AED) incorporate a shock decision algorithm that
analyzes the patient's electrocardiogram (EKG), allowing lay persons to provide life saving …
analyzes the patient's electrocardiogram (EKG), allowing lay persons to provide life saving …
Value of capnography to predict defibrillation success in out-of-hospital cardiac arrest
Background and aim Unsuccessful defibrillation shocks adversely affect survival from out-of-
hospital cardiac arrest (OHCA). Ventricular fibrillation (VF) waveform analysis is the tool-of …
hospital cardiac arrest (OHCA). Ventricular fibrillation (VF) waveform analysis is the tool-of …
ECG-based random forest classifier for cardiac arrest rhythms
Rhythm annotation of out-of-hospital cardiac episodes (OHCA) is key for a better
understanding of the interplay between resuscitation therapy and OHCA patient outcome …
understanding of the interplay between resuscitation therapy and OHCA patient outcome …
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) …
[HTML][HTML] Prediction and Detection of Ventricular Fibrillation Using Complex Features and AI-Based Classification
We analyzed the possibility of detecting and predicting ventricular fibrillation (VF), a medical
emergency that may put people's lives at risk, as the medical prognosis depends on the time …
emergency that may put people's lives at risk, as the medical prognosis depends on the time …