Extraction of Alpha Activities from an EEG Obtained During Gum Chewing

We propose a method for extracting alpha activities from electroencephalogram (EEG) recordings contaminated by noise from sources such as electromyograms (EMGs), electro‐oculograms (EOGs), or blinking, using independent component analysis (ICA) with simple preprocessing. In the preprocessing, Gaussi...

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Bibliographic Details
Published in:IEEJ transactions on electrical and electronic engineering 2008-05, Vol.3 (3), p.324-333
Main Authors: Sakata, Osamu, Kohyama, Kaoru, Satake, Takaaki, Saito, Yoichi
Format: Article
Language:English
Subjects:
alpha activity extraction
chewing
EEG
EMG
Gaussian signal
ICA
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Summary:We propose a method for extracting alpha activities from electroencephalogram (EEG) recordings contaminated by noise from sources such as electromyograms (EMGs), electro‐oculograms (EOGs), or blinking, using independent component analysis (ICA) with simple preprocessing. In the preprocessing, Gaussian signals are connected to the back and front of the original EEG data. Then waveforms of the original EEG are not subjected to any change in shape. In this paper, we extract alpha activities from an EEG recorded while a subject chews gum. As a result, the ICA separation accuracy is often improved, and alpha activities during gum chewing can be successfully extracted. Furthermore, we investigate whether or not the extracted signals satisfy the general characteristics of an alpha rhythm. Copyright © 2008 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
ISSN:1931-4973
1931-4981
DOI:10.1002/tee.20274