DocumentCode :
1207899
Title :
Spectral Decomposition of EEG Intervals Using Walsh and Fourier Transforms
Author :
Jansen, B.H. ; Bourne, J.R. ; Ward, J.W.
Author_Institution :
Department of Electrical and Biomedical Engineering, School of Engineering, School of Medicine, Vanderbilt University
Issue :
12
fYear :
1981
Firstpage :
836
Lastpage :
838
Abstract :
This paper presents a comparison of the use of features derived from Walsh and Fourier transforms for classification of short segments of EEG data. The result was that features obtained from Fourier transforms produced consistently better classification results than Walsh function-derived features.
Keywords :
Biomedical engineering; Electroencephalography; Fast Fourier transforms; Feature extraction; Fourier transforms; Frequency measurement; Operating systems; Power measurement; Testing; Training data; Electroencephalography; Fourier Analysis; Humans; Statistics as Topic;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.1981.324686
Filename :
4121156
Link To Document :
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