Discrimination of EEG-Based Motor Imagery Tasks by Means of a Simple Phase Information Method

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 ß 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.

@article{Loboda2014,
  title     = {Discrimination of EEG-Based Motor Imagery Tasks by Means of a Simple Phase Information Method},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {3},
  number    = {10},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Ana Loboda and Alexandra Margineanu and Gabriela Rotariu and Anca Mihaela Lazar},
  doi       = {10.14569/IJARAI.2014.031002},
  url       = {https://doi.org/10.14569/IJARAI.2014.031002}
}