Deep Learning Model for High-Accuracy Classification of Premature Ventricular Contractions With Precordial Transition Zones in Leads V3 or V4

Key Points

• Classification of premature ventricular contractions achieved high accuracy with a deep learning model.
• The CNN-based prediction demonstrated clinical utility in accurately identifying PVC origin.
• Analysis involved precordial transition zones identified in standard heart leads V3 and V4.
• Clinical implications may enhance detection and management of arrhythmias in patients with PVCs.