A Review on Preprocessing of EEG Signal

Electroencephalogram (EEG) is the documentation of brain’s electrical activity tapped from the scalp. The signals picked from the scalp do not express an accurate representation of the brain signals. These bio-signals need to be processed in order to be used for the desired application. To unravel this problem, there is a necessity to define a strong and repeatable EEG pre-processing method. EEG data pre-processing specifies a procedure of remodeling the raw EEG data into a clean EEG data by removing the undesirable noise and artifacts thereby converting it into suitable format for further analysis and interpretable by the user. This paper tends to review various EEG preprocessing techniques that has been described within the published literatures so as to focus on the acceptable preprocessing modality for a specific application.