An Adaptive QRS Detection Algorithm with Variable Threshold. (Dept. E)

Abstract

Ambulatory electrocardiogram ( ECG ) recordings from patients undergoing severe physical stress are corrupted by large muscle artifacts ( EMG ) and other noise sources, such as baseline drifts and currents induced by motion artifacts and electromechanical devices. A simple real-time algorithm has been developed which is suitable for on-line detection of the QRS complexes. The algorithm calculates several statistical parameters of the ECG signal which are used to adapt the threshold to baseline changes in the signal, thereby increasing detection sensitivity.