Entropy feature distribution in delay-matching task for alcoholic and control subjects

Human brain is still known to be the ultimate and the best machine in its ability for decision making. Researchers are in a constant process of understanding and duplicating the functions of the brain; though these efforts are still in infancy. In this present study, we are trying to analyze the processing of different perceptual tasks given to alcoholic and control subjects. The aim is to correlate the entropy measure of EEG signal with separate living habits; where alcohol is considered as a variable. A group-wise statistical analysis shows a statistically significant difference in entropy measure over the parietal and temporal region. Results showed a higher value of entropy in case of alcoholic subjects than control subjects for specific task condition. It can be possible to conclude that the approximate and spectral entropy value can be used as a feature for the classification of alcoholic and control subjects.