Frequency-Domain Pattern Filtering of Electrocorticography Based on Motor Imagery

Journal of South China University of Technology (Natural Science Edition) ›› 2008, Vol. 36 ›› Issue (5): 101-105.

• Electronics, Communication & Automation Technology • Previous Articles Next Articles

Frequency-Domain Pattern Filtering of Electrocorticography Based on Motor Imagery

Lü Jun Xie Sheng-li

School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China

Received:2007-04-23 Revised:2007-10-14 Online:2008-05-25 Published:2008-05-25
Contact: 吕俊（1979-），男，博士生，主要从事机器学习、脑机接口方面的研究． E-mail:rylj@163．com
About author:吕俊（1979-），男，博士生，主要从事机器学习、脑机接口方面的研究．
Supported by:
国家自然科学基金重点项目（U0635001）;国家自然科学基金资助项目（60505005）

Abstract

Abstract:

In order to improve the classification accuracy of the brain-computer interface（BCI） of electrocortico-graphy（ECoG）,a motor imagery-based pattern-filtering method in frequency domain is proposed.In this method,the joint diagonalization is employed to seek the most discriminative projections as the frequency-domain filters,the means and standard deviations of filtered electrocorticograms are extracted as the features,and the kernel Fisher discriminant is applied to the classification.Experimental results of BCI2005 data set Ⅰ show that the proposed method can achieve a classification accuracy of 92% even with a single electrode.

Key words: electrocorticography, brain-computer interface, feature extraction, frequency-domain pattern filtering

Lü Jun Xie Sheng-li . Frequency-Domain Pattern Filtering of Electrocorticography Based on Motor Imagery[J]. Journal of South China University of Technology (Natural Science Edition), 2008, 36(5): 101-105.

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Frequency-Domain Pattern Filtering of Electrocorticography Based on Motor Imagery

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