Adjustment Algorithm for Multi-Lead QRS Detection

This paper examines a multi-lead adjustment algorithm for multi-lead ECG (electrocardiogram) signals based on single-lead QRS complex detections. The algorithm uses the Pan-Tompkins detector (PTD) and considers statistical parameters like the mode of detections and the average and median lengths of heart-depolarization intervals. The proposed algorithm is evaluated on two EKG databases: Lobachevsky University and Physikalisch-Technische Bundesanstalt diagnostic cardiography databases. The results demonstrate that reducing the acceptable interval for QRS complex timestamp differences during the decision phase increases error rates. Compared to manual QRS timestamps, the adjusted detection shows less than 2% error within chosen intervals considered acceptable for accurate detection.