Abstract
Objective: The purpose of this study was to investigate cortical lateralization of event-related (de)synchronization during left and right foot motor imagery tasks and to determine classification accuracy of the two imaginary movements in a brain-computer interface (BCI) paradigm. Methods: We recorded 31-channel scalp electroencephalograms (EEGs) from nine healthy subjects during brisk imagery tasks of left and right foot movements. EEG was analyzed with time-frequency maps and topographies, and the accuracy rate of classification between left and right foot movements was calculated. Results: Beta rebound at the end of imagination (increase of EEG beta rhythm amplitude) was identified from the two EEGs derived from the right-shift and left-shift bipolar pairs at the vertex. This process enabled discrimination between right or left foot imagery at a high accuracy rate (maximum 81.6% in single trial analysis). Conclusion: These data suggest that foot motor imagery has potential to elicit left-right differences in EEG, while BCI using the unilateral foot imagery can achieve high classification accuracy, similar to ordinary BCI, based on hand motor imagery. Significance: By combining conventional discrimination techniques, the left-right discrimination of unilateral foot motor imagery provides a novel BCI system that could control a foot neuroprosthesis or a robotic foot.
Original language | English |
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Pages (from-to) | 2153-2160 |
Number of pages | 8 |
Journal | Clinical Neurophysiology |
Volume | 124 |
Issue number | 11 |
DOIs | |
Publication status | Published - 2013 Nov 1 |
Keywords
- Beta rebound
- Brain-computer interface (BCI)
- Electroencephalogram (EEG)
- Event-related desynchronization (ERD)
- Event-related synchronization (ERS)
- Motor imagery
ASJC Scopus subject areas
- Sensory Systems
- Neurology
- Clinical Neurology
- Physiology (medical)