Referenced Items are not available for this document.
This paper presents an algorithm for classifying single-trial electroencephalogram (EEG) during the preparation of self-paced tapping. It combines common spatial subspace decomposition with Fisher discriminant analysis to extract features from multichannel EEG. Three features are obtained based on Bereitschaftspotential and event-related desynchronization. Finally, a perceptron neural network is trained as the classifier. This algorithm was applied to the data set
Published in:
Biomedical Engineering, IEEE Transactions on
(Volume:51
,
Issue:
6
)
Date of Publication: June 2004
- Page(s):
- 1081 - 1086
- ISSN :
- 0018-9294
- INSPEC Accession Number:
- 7981890
- Digital Object Identifier :
- 10.1109/TBME.2004.826697
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 24 May 2004
- Issue Date :
- June 2004
- Sponsored by :
- IEEE Engineering in Medicine and Biology Society
- PubMed ID :
- 15188883
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