DESIGN OF FILTER TO REMOVE 50-6HZ INTERFERANCE FROM ECG SIGNAL

Abstract

ECG signal processing is the emerging need as it is the best way to diagnose the heart condition of a patient. Presence of artifacts in the ECG signal due to power line noise, electroencephalogram, electromyogram and baseline wander make the signal more weak and analysis of required clinical information get distorted. Our objective is to study and design appropriate filter that will remove 50-60 Hz interference. We have studied and implemented different filter structure such as conventional filter, IIR notch filter, Kalman filter and designed Adaptive Kalman filter which works on auto regression algorithm. Comparative study of conventional filter, IIR notch filter, Kalman filter and adaptive kalman filter on basis of MSE, RMSE and SNR is carried out in this paper.The filters are implemented on MATLAB.