EEG-based classification of imaginary left and right foot movements using beta rebound

Yasunari Hashimoto, Junichi Ushiba

Research output: Contribution to journalArticle

44 Citations (Scopus)

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 languageEnglish
Pages (from-to)2153-2160
Number of pages8
JournalClinical Neurophysiology
Volume124
Issue number11
DOIs
Publication statusPublished - 2013 Nov

Fingerprint

Imagery (Psychotherapy)
Foot
Electroencephalography
Brain-Computer Interfaces
Beta Rhythm
Imagination
Computer Systems
Robotics
Scalp
Healthy Volunteers
Hand
Discrimination (Psychology)

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 journalArticle

@article{dd97438f5a1e4d689f947e0fb731e05e,
title = "EEG-based classification of imaginary left and right foot movements using beta rebound",
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.",
keywords = "Beta rebound, Brain-computer interface (BCI), Electroencephalogram (EEG), Event-related desynchronization (ERD), Event-related synchronization (ERS), Motor imagery",
author = "Yasunari Hashimoto and Junichi Ushiba",
year = "2013",
month = "11",
doi = "10.1016/j.clinph.2013.05.006",
language = "English",
volume = "124",
pages = "2153--2160",
journal = "Clinical Neurophysiology",
issn = "1388-2457",
publisher = "Elsevier Ireland Ltd",
number = "11",

}

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

UR - http://www.scopus.com/inward/record.url?scp=84885842113&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885842113&partnerID=8YFLogxK

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 -