Exploring differences between left and right hand motor imagery via spatio-temporal EEG microstate. (31st October 2017)

• Record Type: Journal Article
• Authors: Liu, Weifeng; Liu, Xiaoming; Dai, Ruomeng; Tang, Xiaoying
• Is Part Of: Computer assisted surgery. Volume 22(2017)Supplement 1
• Page Start: 258
• Page End: 266
• Publication Date: 2017-10-31
• Subjects: EEG -- microstate -- motor imagery; Computer-assisted surgery -- Periodicals
• DOI: 10.1080/24699322.2017.1389404
• Languages: English
• ISSNs: 2469-9322

Abstract

Abstract: EEG-based motor imagery is very useful in brain-computer interface. How to identify the imaging movement is still being researched. Electroencephalography (EEG) microstates reflect the spatial configuration of quasi-stable electrical potential topographies. Different microstates represent different brain functions. In this paper, microstate method was used to process the EEG-based motor imagery to obtain microstate. The single-trial EEG microstate sequences differences between two motor imagery tasks – imagination of left and right hand movement were investigated. The microstate parameters - duration, time coverage and occurrence per second as well as the transition probability of the microstate sequences were obtained with spatio-temporal microstate analysis. The results were shown significant differences (P < 0.05) with paired t-test between the two tasks. Then these microstate parameters were used as features and a linear support vector machine (SVM) was utilized to classify the two tasks with mean accuracy 89.17%, superior performance compared to the other methods. These indicate that the microstate can be a promising feature to improve the performance of the brain-computer interface classification.