Discrimination of left and right leg motor imagery for brain-computer interfaces

Peter Boord*, Ashley Craig, Yvonne Tran, Hung Nguyen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)

Abstract

This article reports on a study to identify electroencephalography (EEG) signals with potential to provide new BCI channels through mental motor imagery (MMI). Leg motion was assessed to see if left and right leg MMI could be discriminated in the EEG. The study also explored simultaneous observation of leg movement as a means to enhance MMI evoked EEG signals. The results demonstrate that MMI of the left and right leg produce a contralateral preponderance of EEG alpha band desynchronization, which can be spatially discriminated. This suggests that lower extremity MMI could provide signals for additional BCI channels. The study also shows that movement imitation enhances alpha band desynchronization during MMI, and might provide a useful aid in the identification and training of BCI signals.

Original languageEnglish
Pages (from-to)343-350
Number of pages8
JournalMedical and Biological Engineering and Computing
Volume48
Issue number4
DOIs
Publication statusPublished - Apr 2010
Externally publishedYes

Keywords

  • Brain-computer interfaces
  • EEG
  • Leg
  • Mental motor imagery
  • Movement imitation

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