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Medical & Biological Engineering & Computing

, Volume 48, Issue 4, pp 343–350 | Cite as

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

  • Peter BoordEmail author
  • Ashley Craig
  • Yvonne Tran
  • Hung Nguyen
Original Article

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.

Keywords

Mental motor imagery Brain–computer interfaces EEG Leg Movement imitation 

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Copyright information

© International Federation for Medical and Biological Engineering 2010

Authors and Affiliations

  • Peter Boord
    • 1
    Email author
  • Ashley Craig
    • 2
  • Yvonne Tran
    • 2
  • Hung Nguyen
    • 3
  1. 1.Brain Resource Ltd.UltimoAustralia
  2. 2.Rehabilitation Studies UnitUniversity of SydneyRydeAustralia
  3. 3.Faculty of Engineering and Information TechnologyUniversity of Technology SydneyUltimoAustralia

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