Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in
diagnosis, stratification, and management. AI algorithms can help clinicians in the following …

High performance of the shock advisory analysis of the electrocardiogram (ECG) during
cardiopulmonary resuscitation (CPR) in out-of-hospital cardiac arrest (OHCA) is important …

Objective. Cardiovascular disease is a major threat to health and one of the primary causes
of death globally. The 12-lead ECG is a cheap and commonly accessible tool to identify …

Deep neural networks (DNN) are state-of-the-art machine learning algorithms that can be
learned to self-extract significant features of the electrocardiogram (ECG) and can generally …

Automatic detection of arrhythmia through an electrocardiogram (ECG) is of great
significance for the prevention and treatment of cardiovascular diseases. In Convolutional …

This study aims to present a novel deep learning algorithm for a sliding shock advisory
decision during cardiopulmonary resuscitation (CPR) and its performance evaluation as a …

Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in
diagnosis, stratification, and management. AI algorithms can help clinicians in the following …