Analysis of various window techniques used for denoising ECG signal

Electrocardiogram (ECG) is an electric device of measuring the electrical activity of heart. Removal of noise artifacts, baseline wandering and power interference plays a major role in diagnosing most of the heart diseases. ECG signal is confined of P wave, QRS complex and T wave [1]. Various approaches are available for removal of noise artifacts from Electrocardiogram (ECG) signal. ECG signal is low frequency signal. In this paper, FIR low pass filter have been implemented with the help of window techniques at cut off frequency 50 Hz to remove noise artifacts from ECG signal. External noise signal is added artificially to the ECG wave recorded from Physio.net database. Comparison of Electrocardiogram (ECG) signal before and after filtering is completed on the basis of two physical parameters i.e. signal to noise ratio (SNR) and power spectrum density (PSD). The results are calculated using Kaiser and Bartlett window based on FIR filter.