Using higher-order statistics from EEG signals for developing brain-computer interface (BCI) systems
作者： Shang-Ming Zhou , F. Sepulveda , J. Q. Gan
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摘要: In order to characterise the non-Gaussian information contained within EEG signals, a new feature extraction method based on bispectrum is proposed and applied classification of right left motor imagery for developing EEG-based brain-computer interface (BCI) systems. The experimental results Graz BCI data set have shown that features LDA classifier outperforms winner 2003 competition same in terms criterion.
essex.ac.uk 参考文章(18)
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