Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials

Young Jin Kee, Dong Ok Won, Seong Whan Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Recently, steady-state somatosensory evoked potentials (SSSEPs) which are brain responses to tactile stimulation of specific frequency in somatosensory have been researched in brain-computer interface (BCI) groups. Classification of both feet is important in gait control system. Previous SSSEP studies have mainly researched a feasibility of discrimination by stimulator attached on upper limb (e.g., finger or arm). However, SSSEP-based cIassification of both feet could be useful in BCI-based gait rehabilitation system. Hence, we investigate a possibility of discrimination of both feet using SSSEP. To this end, we obtain optimal stimuli frequencies in the screening session. In subsequence test session, the optimal stimuli were attached on the left and right foot, respectively. Six healthy subjects conducted the task wh ich was the subjects concentrate on the tactile stimuli following by random visual cue. The cIassification results show 72.6% and 72.2% in two methods (i.e., common spatial pattern (CSP) and power spectral density (PSD. Furthermore, we analyzed differences of spatial and spectral features for reliable BCI performance. These results suggest that cIassification both feet can be available in SSSEP-based BCI for gait rehabilitation.

Original languageEnglish
Title of host publication5th International Winter Conference on Brain-Computer Interface, BCI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages106-108
Number of pages3
ISBN (Electronic)9781509050963
DOIs
Publication statusPublished - 2017 Feb 16
Event5th International Winter Conference on Brain-Computer Interface, BCI 2017 - Gangwon Province, Korea, Republic of
Duration: 2017 Jan 92017 Jan 11

Other

Other5th International Winter Conference on Brain-Computer Interface, BCI 2017
CountryKorea, Republic of
CityGangwon Province
Period17/1/917/1/11

Keywords

  • Brain machine interface (BMI)
  • Steady-state somatosensory evoked potentials (SSSEP)
  • Vibrotactile stimuli

ASJC Scopus subject areas

  • Signal Processing
  • Human-Computer Interaction

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    Kee, Y. J., Won, D. O., & Lee, S. W. (2017). Classification of left and right foot movement intention based on steady-state somatosensory evoked potentials. In 5th International Winter Conference on Brain-Computer Interface, BCI 2017 (pp. 106-108). [7858174] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2017.7858174