Vuong, Pham Lam and Xia, Likun and Malik, Aamir Saeed and Abd Rashid, Rusdi Bin (2013) Biomarker Development on Alcohol Addiction Using EEG. In: Neural Information Processing. Lecture Notes in Computer Science (LNCS), 8226 . Springer Berlin Heidelberg, pp. 199-206. ISBN 978-3-642-42053-5
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Abstract
Alcohol addiction is harmful to society, economy and personal health. Alcohol addiction treatments intend to help addicted individuals reduce and stop compulsive alcohol use. Using biomarker, the clinicians could determine if drugs are having a desirable effect much earlier and given in correct dose for treatment. This paper will provide an up-to-date review of the state of the art in biomarker development for alcohol addiction treatment using electroencephalography (EEG) including EEG methodologies and their applications.
Item Type: | Book Section |
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Uncontrolled Keywords: | Biomarker, alcohol addiction, EEG, predict |
Subjects: | Q Science > Q Science (General) R Medicine > R Medicine (General) T Technology > T Technology (General) |
Departments / MOR / COE: | Centre of Excellence > Center for Intelligent Signal and Imaging Research Research Institutes > Institute for Health Analytics |
Depositing User: | Dr Aamir Saeed Malik |
Date Deposited: | 16 Dec 2013 23:47 |
Last Modified: | 16 Dec 2013 23:47 |
URI: | http://scholars.utp.edu.my/id/eprint/10971 |