Paper Title
FINITE IMPULSE RESPONSE (FIR) WINDOW FILTERING FOR THE REMOVAL OF POWER LINE INTERFERENCE FROM ECG SIGNALS – A COMPARATIVE STUDY

Abstract
Electrocardiography generates signals referred to as Electrocardiographic signals or simply ECG which describes the electrical activities of the heart and is very vital in the clinical monitoring and diagnosis of the health conditions of the human heart. Naturally during acquisition, the ECG signals get distorted by noise from different sources, which must be removed otherwise incorrect information regarding the patient’s heart condition will be conveyed. The most significant signal that corrupt the ECG is Powerline Interference. Thus for correct analysis of the ECG signal for diagnosis, there is a need to separate the wanted signal from noise corrupting the signal. Different types of digital filters can be used to achieve this. In this work, a Modified Hanning (Modhann) Window FIR filter was obtained by modifying the coefficients of the Hanning Window FIR Filter for the removal of 50Hz Powerline Interference in ECG signals. Using MATLAB, a comparative analysis of Peak Signal-to-Noise Ratio (PSNR) was conducted before and after applying the Hanning Window FIR Filter and the Modified Hanning Window FIR Filter, generating simulation results that illustrate the Modhann Window FIR filter's effectiveness. Keywords - ECG Signals, Power Line Interference, Least Mean Square, Finite Impulse Response Filter, Windowing