Title :
Classification of Four-Class Motor Imagery EEG Data Using Spatial Filtering
Author :
Wang, Lu ; Wu, Xiao-pei
Author_Institution :
Key Lab. of Intell. Comput. & Signal Process. of Minist. of Educ., Anhui Univ., Hefei
Abstract :
An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks consisting of four different classes, namely the imagination of right hand, left hand, foot and tongue movements. The best correct classification results for the three subjects are 73.3%, 81.7%, and 76.7%.
Keywords :
biomechanics; electroencephalography; feature extraction; filtering theory; man-machine systems; medical signal processing; neurophysiology; signal classification; spatial filters; user interfaces; brain computer interface; brain states; efficient discrimination method; foot movements; four-class motor imagery EEG data; left hand imagination; motor imagery tasks; one-versus-rest CSP; pattern classification; right hand imagination; spatial filtering; tongue movements; Computer interfaces; Electroencephalography; Feature extraction; Filtering; Foot; Laboratories; Laplace equations; Signal processing; Spatial filters; Tongue;
Conference_Titel :
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1747-6
Electronic_ISBN :
978-1-4244-1748-3
DOI :
10.1109/ICBBE.2008.868
