Discrimination of EEG-Based Motor Imagery Tasks by Means of a Simple Phase Information Method
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2014, Vol 3, Issue 10
Abstract
We propose an off-line analysis method in order to discriminate between motor imagery tasks manipulated in a brain computer interface system. A measure of large-scale synchronization based on phase locking value is established. The results indicate that it can take advantage of the phase synchrony between scalp-recorded EEG activity in the supplementary motor area and in sezorimotor area, computing the differences between the active and the relaxation states. Phase locking value features are more discriminative in β rhythm than in µ rhythm. The proposed method is simple, computationally efficient and proves good results on EEG Motor Movement/Imagery Dataset available from PhysioNet research resource for physiologic signals.
Authors and Affiliations
Ana Loboda, Alexandra Margineanu, Gabriela Rotariu, Anca Lazar
Keywords
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- EP ID EP110797
- DOI 10.14569/IJARAI.2014.031002
- Views 148
- Downloads 0
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