QRS detection of ECG signal using hybrid derivative and MaMeMi filter by effectively eliminating the baseline wander

Abstract

Presently in medical science, diagnostic process demands longer electrocardiogram (ECG) signal recordings, which have traditionally been processed on high-speed multicore personal computers. However, for local ECG signal collection and processing, a highly efficient, low-power battery-driven portable devices are essential for efficient and convenient clinical use. For this, an accurate and improved QRS detector is required which can effectively eliminate the baseline wander. In this paper, a novel technique to detect the QRS complex of ECG signal with hybrid filter composed of derivative and maximum mean minimum (MaMeMi) filter has been proposed. The performance of this technique is compared with the existing technique that consists of MaMeMi filter only for the QRS detection. Various parameters such as sensitivity, specificity, accuracy, detection error rate and elapsed time are used for analyzing the results on the MIT-BIH Arrhythmia database. It is observed that overall performance of the proposed technique is better than the existing technique for these parameters.