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Extraction of Alpha Activities from an EEG Obtained During Gum Chewing
Author(s) -
Sakata Osamu,
Kohyama Kaoru,
Satake Takaaki,
Saito Yoichi
Publication year - 2008
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.20274
Subject(s) - electroencephalography , preprocessor , alpha (finance) , independent component analysis , computer science , pattern recognition (psychology) , chewing gum , artificial intelligence , noise (video) , speech recognition , mathematics , psychology , chemistry , statistics , image (mathematics) , neuroscience , construct validity , food science , psychometrics
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.