In recent years, the incidence of cardiac arrhythmias has been on the rise because of
changes in lifestyle and the aging population. Electrocardiograms (ECGs) are widely used …

Sudden cardiac arrests are caused by shockable rhythms known as ventricular fibrillation
and ventricular tachycardia. Rapid diagnosis implemented by the automated external …

The rise in heart-related diseases has led to a need for proper automatic diagnosis methods
to identify irregular heart problems. It has proven to be challenging to promptly and …

Sudden cardiac arrest (SCA) consisting of ventricular fibrillation and ventricular tachycardia
considered as shockable rhythms is a life-threatening heart disease, which is treated …

This study illustrates a novel application of machine learning: the prediction of sudden
cardiac arrest (SCA) using HRV features. SCA is a life-threatening condition that calls for …

This study introduces an innovative methodology for real-time cardiac image processing
with the purpose of diagnosing heart issues. To achieve this, employ cutting-edge deep …

Sudden cardiac arrest (SCA) is mainly caused by ventricular fibrillation and ventricular
tachycardia, which are known as shockable rhythms and can be effectively treated with …

Cardiac arrest happens when the heart stops beating suddenly, hence, blood stops flowing
to the brain and other vital organs. The lack of blood flow to the brain and other organs can …

Life-threatening arrhythmias (LTAs) are a leading cause of death worldwide. Enhancing LTA
detection in wearable monitoring systems is of great significance. We present a powerful …

Purpose Automated feature extraction combined with deep learning has had and continues
to have a strong impact on the improvement and implementation of pattern recognition …