ECG-Based Deep Learning Framework to Identify Ventricular Arrhythmias in Patients Monitored with MCT
Ventricular Arrhythmias (VA), including Ventricular Tachycardia, Ventricular Fibrillation, and Ventricular Flutter, are life-threatening arrhythmias that can lead to sudden cardiac death. A Mobile Cardiac Telemetry (MCT) monitor facilitates continuous cardiac monitoring for timely diagnosis of all arrhythmias including VA. This study aims to identify VA in near-real-time using a single-lead ECG as short as 2 seconds.
