Learn the anatomy and physiology of the heart, principles of the EKG, heart rhythms, heart blocks and bundle branches, and more. Find out how to operate EKG equipment, including running and mounting ...

Electrocardiogram (ECG) signals are the signals ... and only clean signal is paased on to the deep learning model. Finally, a graphical user interface (GUI) was designed to facilitate visualization, ...

Electrocardiograms or ECG are signals that assess an individual’s cardiac rhythm as signal. This is a result of the ... The premise of this paper is the application of supervised deep learning to ...

ECG interpretation in athletes requires careful analysis to properly distinguish physiological changes related to athlete's heart from findings suggestive of an underlying pathological cardiac ...

Her risk factors included hypertension and hypercholesterolaemia. Her admission ECG showed a ventricular paced rhythm with ST changes consistent with ST-elevation myocardial infarction (STEMI) ...

This paper investigates an electrocardiogram (ECG) based biometric user authentication system using features derived from the Convolutional Neural Network (CNN) and self-supervised contrastive ...

Deep Learning (DL) techniques offer a promising solution for ... It excels in accurately classifying ECG rhythms into two categories: normal and atrial fibrillation. Additionally, the model utilizes ...