An EEG is non-invasive method for recording brain signal in which several electrodes are placed on human scalp. The effect of alcoholism can be studied by EEG based classification of a person as an alcoholic and nonalcoholic. The modern EEG recording instruments come with multi-electrode mechanism for recording data. Each electrode is related with the data capture from particular part of the brain. Depending upon the application under analysis, the electrode configuration may vary. Hence, most of the electrodes do not contribute necessary information to study particular application. Prior knowledge of these electrode locations will reduce the computational complexity. Therefore, there is necessity to identify vulnerable region of brain to alcoholism. This will help to discard the unnecessary channel computations and in turn, speedy prediction of alcoholism. This effort leads to propose an indigenous sensor to predict and analyze the effect of alcoholism.
