Design and Simulation of Optimum Digital Filter for Removal of Power Line Interference Noise

The optimal digital filter design emerged as one of the key research issues from the past few years in biomedical engineering field. Digital filters are designed to preprocess the raw biomedical signal and extract useful information from them. Generally, all the biomedical signals are corrupted from the power line interference (PLI) noise. In this research work, an optimal and stable notch filter is designed for the elimination of PLI noise. The entire simulations were carried out using LabVIEW, and the results are validated using MATLAB. After analyzing theoretically and experimentally, it is inferred that window techniques perform better as compared to the existing filter designing techniques. The Kaiser window function gives better performance as compared to other traditional window techniques due to its sharp lobe that helps in reduction of PLI noise. Additionally, to mark the effectiveness of the selected window function, various parameters like effect of order, threshold frequencies, and side lobe attenuation are analyzed and compared.