Optimal EEG channels selection for alcoholism screening using EMD domain statistical features and harmony search algorithm

Alcoholism can be analyzed by Electroencephalogram (EEG) data. Finding an optimal subset of EEG channels for alcoholism detection is a challenging task. The paper reports a new methodology for the detection of optimal channels for alcoholism analysis using EEG data. The proposed technique employs th...

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Bibliographic Details

Published in:	Biocybernetics and biomedical engineering Vol. 41; no. 1; pp. 83 - 96
Main Authors:	Bavkar, Sandeep, Iyer, Brijesh, Deosarkar, Shankar
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.01.2021
Subjects:	Advanced Basic Science Alcoholic EEG EMD Ensemble subspace K NN Harmony Search Internal Medicine Ensemble subspace K NN Harmony Search EMD EEG Alcoholic
ISSN:	0208-5216
Online Access:	Get full text
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