EEG feature extraction and pattern recognition during right and left hands motor imagery in brain-computer interface
At present, it is an important issue to obtain accurate classification of EEG signal in brain-computer interface. We collected the EEG data which are recorded at a sampling rate of 250Hz by EGI-64 scalp electrodes placed according to the international 10/20 system. Firstly, discrete wavelet transfor...
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Published in | 2012 5th International Conference on Biomedical Engineering and Informatics pp. 506 - 510 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.10.2012
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Subjects | |
Online Access | Get full text |
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