Phase Synchrony Measurement in Motor Cortex for Classifying Single-trial EEG during Motor Imagery

Author

Wang, Yijun ; Hong, Bo ; Gao, Xiaorong ; Gao, Shangkai

Author_Institution

Dept. of Biomed. Eng., Tsinghua Univ., Beijing

fYear

2006

fDate

Aug. 30 2006-Sept. 3 2006

Firstpage

75

Lastpage

78

Abstract

A motor imagery based brain-computer interface (BCI) translates the subject´s motor intention into a control signal. For this BCI system, most algorithms are based on power changes of mu and beta rhythms. In this paper, we employ the measurement of phase synchrony to investigate the activities of the supplementary motor area (SMA) and primary motor area (M1) during left/right hand movement imagery. The single-trial phase locking value (PLV) features were derived from intrinsic large-scale and local-scale phase synchronies between and within SMA and M1. The classification performance suggests that phase synchrony is an additional robust feature for differentiating motor imagery states

Keywords

biomechanics; biomedical measurement; electroencephalography; man-machine systems; medical signal processing; neurophysiology; signal classification; user interfaces; BCI system; EEG classification; beta rhythms; brain-computer interface; hand movement imagery; motor cortex; motor imagery; mu rhythms; phase synchrony measurement; primary motor area; single-trial phase locking value; supplementary motor area; Couplings; Electrodes; Electroencephalography; Frequency estimation; Frequency synchronization; Large-scale systems; Phase detection; Phase measurement; Rhythm; Testing; brain-computer interface; motor imagery; phase synchrony;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Conference_Location

New York, NY

ISSN

1557-170X

Print_ISBN

1-4244-0032-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2006.259673

Filename

4461688