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