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 |
|---|---|
| Pages (from-to) | 2153-2160 |
| Number of pages | 8 |
| Journal | Clinical Neurophysiology |
| Volume | 124 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2013 Nov |
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Keywords
- Beta rebound
- Brain-computer interface (BCI)
- Electroencephalogram (EEG)
- Event-related desynchronization (ERD)
- Event-related synchronization (ERS)
- Motor imagery
ASJC Scopus subject areas
- Clinical Neurology
- Neurology
- Physiology (medical)
- Sensory Systems
Cite this
EEG-based classification of imaginary left and right foot movements using beta rebound. / Hashimoto, Yasunari; Ushiba, Junichi.
In: Clinical Neurophysiology, Vol. 124, No. 11, 11.2013, p. 2153-2160.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - EEG-based classification of imaginary left and right foot movements using beta rebound
AU - Hashimoto, Yasunari
AU - Ushiba, Junichi
PY - 2013/11
Y1 - 2013/11
N2 - 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.
AB - 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.
KW - Beta rebound
KW - Brain-computer interface (BCI)
KW - Electroencephalogram (EEG)
KW - Event-related desynchronization (ERD)
KW - Event-related synchronization (ERS)
KW - Motor imagery
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U2 - 10.1016/j.clinph.2013.05.006
DO - 10.1016/j.clinph.2013.05.006
M3 - Article
VL - 124
SP - 2153
EP - 2160
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
SN - 1388-2457
IS - 11
ER -