Biomarker Development on Alcohol Addiction Using EEG

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


Official URL: http://dx.doi.org/10.1007/978-3-642-42054-2_26


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
Uncontrolled Keywords:Biomarker, alcohol addiction, EEG, predict
Subjects:Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
ID Code:10971
Deposited By: Dr Aamir Saeed Malik
Deposited On:16 Dec 2013 23:47
Last Modified:16 Dec 2013 23:47

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