Removal of Ocular Artifacts from EEG Recordings Using Eye Tracker Data

Removing ocular artifacts from EEG is always problematic since it is possible that some small but useful information related to brain-activity be removed from EEG signals. Both brain activity and eye movements change the electrical potentials on the scalp. Therefore, the recorded EEG signal is a combination of ocular and brain-related components. In this thesis the data from eye tracker will be used to remove these artifacts. Using eye tracker data in artifact-removal from EEG signals has many advantages. An eye tracker system cannot be corrupted by any electrophysiological signals, and is only related to pure eye movements. Eye-tracker detects the eyes of the subject and shows the gaze position. Therefore, it can clearly record horizontal or vertical eye movements. The idea is to remove the ocular artifacts using the gaze information taken from the high-speed eye tracker. Using eye tracker data as a reference, which is free from electrophysiological influences, is an effective way in artifact removal.