DocumentCode
3011439
Title
Classification of Motor Imagery Tasks by means of Time-Frequency-Spatial Analysis for Brain-Computer Interface Applications
Author
Qin, L. ; Kamousi, B. ; Liu, Z.M. ; Ding, L. ; He, B.
Author_Institution
Dept. of Biomed. Eng., Minnesota Univ., Minneapolis, MN
fYear
2005
fDate
16-19 March 2005
Firstpage
374
Lastpage
376
Abstract
We have developed new algorithms for classification of motor imagery tasks for brain-computer interface applications by analyzing single trial scalp EEG signals in the time-, frequency-, and space-domains. These new algorithms have been evaluated using a publically available dataset. The results are promising, suggesting that the newly developed algorithms may provide useful alternative for noninvasive brain-computer interface applications
Keywords
electroencephalography; handicapped aids; medical signal processing; signal classification; time-frequency analysis; brain-computer interface applications; motor imagery task classification; single trial scalp EEG signals; time-frequency-spatial analysis; Brain computer interfaces; Communication channels; Computer interfaces; Electrodes; Electroencephalography; Helium; Human computer interaction; Image analysis; Muscles; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location
Arlington, VA
Print_ISBN
0-7803-8710-4
Type
conf
DOI
10.1109/CNE.2005.1419636
Filename
1419636
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