Scholarly PublicationVuong, P.L. and Xia, L. and Malik, A.S. and Abd Rashid, R.B. (2013) Biomarker development on alcohol addiction using EEG. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8226 L (PART 1). pp. 199-206.
Full text not available from this repository.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. © Springer-Verlag 2013.
| Item Type: | Article |
|---|---|
| Impact Factor: | cited By 0 |
| Uncontrolled Keywords: | Alcohol addiction; Personal health; Predict; State of the art, Biomarkers; Drug dosage; Electroencephalography; Electrophysiology, Data processing |
| Depositing User: | Ms Sharifah Fahimah Saiyed Yeop |
| Date Deposited: | 30 Mar 2022 01:04 |
| Last Modified: | 30 Mar 2022 01:04 |
| URI: | http://scholars.utp.edu.my/id/eprint/32685 |
Actions (login required)
- View Item
Altmetric
Altmetric