Detection of Alcoholism: An EEG Hybrid Features and Ensemble Subspace K-NN Based Approach-Reference-Cited by-同舟云学术

Detection of Alcoholism: An EEG Hybrid Features and Ensemble Subspace K-NN Based Approach

Published:2018-12-11 Issue: Volume: Page:161-168
ISSN:0302-9743
Container-title:Distributed Computing and Internet Technology
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Author:

Bavkar Sandeep,Iyer Brijesh,Deosarkar Shankar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05366-6_13

Reference13 articles.

1. World Health Organization: Global Status Report on Alcohol and Health. World Health Organization, Geneva (2014)

2. NCRB report (2013). http://ncrb.gov.in/StatPublitions/ADSI/ADSI2013/ADSI-2013.pdf

3. Mukherjee, S.: Alcoholism and its effects on the central nervous system. Curr. Neurovascular Res. 10(3), 256–262 (2013)

4. Acharya, U.R., Sree, S.V., Chattopadhyay, S., Suri, J.S.: Automated diagnosis of normal and alcoholic EEG signals. Int. J. Neural Syst. 22(3) (2012). https://doi.org/10.1142/s0129065712500116

5. Palaniappan, R.: Discrimination of alcoholic subjects using second order autoregressive modelling of brain signals evoked during visual stimulus perception. World Acad. Sci. Eng. Technol. 12, 640–645 (2005)

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