The Application of Improved Tracking-differentiator Filter in ECG Data

Abstract

Denoising is very important in signal processing. Electrocardiogram (ECG) data always contains 50 or 60 Hz power line interferences (PLI), PLI may affect the detection of P wave, QRS complex and T wave. So the pre-processing of ECG data is necessary. In order to remove PLI, in this paper, we use two improved tracking-differentiator filters (ITDFs), which are signed ITDF1 and ITDF2 respectively. The simulation results for ECG signals obtained from MIT-BIH database indicate that ITDFs are good methods for filtering noises, and ITDF2 does better than ITDF1.