Enhancement of Eeg Signal

Abstract

This project is concerned with the rectification of EEG recording. EEG signal is often gets distorted due to the presence of various signals which are known as artifacts. Eye blinking is one of the major artifacts causing EEG to distort. Eye blinking distorts the EEG signal by varying the electric potential present over the scalp. To remove the artifacts, signal separation techniques are widely used in modern days. There are various methods used for removing different types of artifacts present in EEG recording and one of the techniques is Blind Source Separation which is used for separation of source signal from artifacts.This thesis also demonstrates the use of Second Order Blind Identification with Robust Orthogonalization (known as SOBI-RO) algorithm to remove the ocular artifacts and reconstruct the original EEG signal. Finally, the original signal and estimated signal is compared. To illustrate the algorithm a raw EEG data has been taken from the database. The data has been processed on MATLAB platform using the SOBI-RO algorithm. In the end it was found that the ocular artifacts are successfully removed from the raw EEG data. The performance is evaluated using signal to distortion ratio.