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  • 标题:Screening for Chronic Alcoholic Subjects Using Multiple Gamma Band EEG: A Pilot Study
  • 本地全文:下载
  • 作者:R. Palaniappan
  • 期刊名称:Journal of Computer Science and Technology
  • 印刷版ISSN:1666-6046
  • 电子版ISSN:1666-6038
  • 出版年度:2007
  • 卷号:7
  • 期号:2
  • 出版社:Iberoamerican Science & Technology Education Consortium
  • 摘要:Electrophysiological impairments of alcoholism have been researched extensively. However, there is none or few reported research on screening methods for chronic alcoholic subjects. Since chronic alcoholics have serious brain dysfunction, a method to screen for them during sp ecific job applications that require good memory, concentration and/or decision making would be useful. In this paper, a method is proposed to discriminate chronic alcoholic from non-alcoholic subjects while they are sober. Energies of electroencephalogram signals in multiple gamma bands recorded while the subjects performed a picture recognition task are used as features b y a neural network to detect the chronic alcoholic subjects. Leave one out cross validation strategy reveals that alcoholics could be discriminated fro m non-alcoholics with accuracy of 94.55%. This pilot study has shown the potential of the method which could be further developed for use in automatic alcoholic screening procedures
  • 关键词:Alcoholic subject discrimination; ;Electroencephalogram; Gamma band energy; Neural ;network
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