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
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;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419636
