Abstract:
The traditional Electroencephalogram (EEG) visual inspection suffers from the limited
accuracy of the human interpretator, and the variation of different interpretator skills. In
addition, the accurate investigation of the EEG requires long time and big effort. A
proposed Computerized EEG Abnormalities Detection (CEAD) system is introduced to
overcome the limitations of the traditional EEG visual inspection method. This system
has the ability to detect the EEG abnormalities automatically and display them to the
physician both numerically and graphically. Moreover, the system can show the EEG
electrodes that have the abnormal events on a graphical skull map. The proposed system
saves much time and effort for the interpretator, as well as providing high accuracy in
detecting the EEG abnormalities.