Volume 4, Issue 1, pp 1 - 7
Publication Date: 2012-01-18
Saeed Erfanian - Assistant Professor at the Faculty of Engineering of the Islamic Azad University, Garmsar Branch.
Mohammad Reza Shokoohi Nia - Student of Master
Mojtaba Shokohi Nia - Lecturer at the Faculty of Control Engineering of the Islamic Azad University, Damghan Branch.
Many researches have been conducted on alcoholics for predicting the probability of their addiction to alcohol as well as the effect of alcohol on EEG signals. Most of these researches study the amplitude of alpha waves and the power of signal in this band. In some of the studies, the waves so called as P300 have been studied. In the present research paper, phase synchrony has been used as a tool for detecting alcoholics from the control group (the individuals who do not drink alcoholic beverages). The results obtained from the study indicate that in most of samples taken from the individuals who drink alcoholic beverages, there are more records of phase asynchrony between electrodes. From the results, the percentage of differentiation authenticity of about 85% was obtained for the data and a specific pair of studied canals.
Phase synchrony, alcohol dependence, Alpha band
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