Prediction of Disorder of Brain using EEG Signal Processing in MATLAB GUI Platform

Electroencephalography (EEG) records electrical activity of the brain. In this paper, a user-friendly platform using MATLAB with GUI (Graphical User Interface) is designed for analyzing EEG data and spotting patterns in it for fast diagnosis purposes. At first the noise is omitted by using a Butterworth low pass and FIR bandpass filter respectively and then explored to determine power spectral density. Several parameters (mean, variance, skewness and kurtosis) are extracted from the diagrams of power spectral density and contour of the peaks. It is seen that mean is high and skewness and kurtosis are low for affected brain. The relationship can be more useful to find out the presence of any disorder in brain.