On the Performance of Hirschman Optimal Transform based LMS Algorithm for Cancellation of ECG Power Line Interference

Abstract

Power-line interference (PLI) is the most commonly encountered artifact in Electrocardiogram   (ECG) during its recording. Several techniques have been proposed for elimination of PLI ranging from conventional notch filters to adaptive filters. As the PLI results in an in-band noise, adaptive filtering offers best solution. In this paper, we present Hirschman Optimal Transform (HOT) based adaptive filter for elimination of the PLI from ECG signals. Simulations and analysis show that HOT based LMS adaptive filter is computationally efficient and has fast convergence compared to LMS, NLMS and DFT based LMS algorithms. Performance of these algorithms was compared with respect to different RMS measures. Comparative test results reveal that HOT based adaptive filter efficiently eliminates the PLI from ECGs.