Neurological disorders are diseases of the brain, spine and the nerves that connect them such as epilepsy, autism spectrum disorder (ASD), narcolepsy (sleep disorder), etc. Currently, diagnosis of such disorder is still mainly carried out by a neurologist or medical expert through manually inspecting brain signals along with other assessment tools. Obviously, the development of automatic mechanism to analyze brain signals will improve the speed and accuracy of the diagnosis process. This research work aims to the development of computer aided diagnosis (CAD) of neurological disorders based on electroencephalography (EEG) analysis. EEG has high temporal resolution and is relative cheap and widely available for clinicians and patients. In general, multi-paradigm approach combining preprocessing, feature extraction, and classification techniques will be investigated to obtain robust and accurate CAD.
Supervisor: Dr Ridha Djemal