Application of FIR Filtering Technique for Enhancement of EEG Signal

ABSTRACT This work, "Application of Finite Impulse Response (FIR) Filtering Technique for Enhancement of Electroencephalographic (EEG) Signal" dwells on the use of scientific techniques to remove 10mV 50Hz power line artifacts from electroencephalographic signal. Artifacts sources increase the difficulty in obtaining and analyzing EEG for clinical treatment. Power line interference, eye blink and eye movement as well as muscle artifacts and heart pulse artifacts are identified as artifacts obtained alongside with EEG by the electrodes of the electroencephalograph which are placed on the scalp of the subject in the EEG procedures. This work focuses on the removal of 10mV 50Hz power line noise from EEG signal using Finite Impulse Response (FIR) filter which is based on a Nuttall window. This technique was simulated with MATLAB/Simulink on real EEG signal that was contaminated with MATLAB generated 10mV 50Hz sine wave (power line interference). The 50Hz power line interference was seen to have been successfully cancelled out from the EEG with the use of the Nuttall window-based FIR filter modeled with filter order equal to 139 with a band stop filter format of lower side band.