Three-dimensional upper limb movement decoding from EEG signals

Jeong Hun Kim, Ricardo Chavarriaga, José Del R Millán, Seong Whan Lee

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

6 Citations (Scopus)

Abstract

A brain-computer interface (BCI) can be used to control a limb neuroprosthesis in patients. In particular, decoding trajectory of upper limb with motor imagery (MI) can support motor rehabilitation using a wearable robotic arm. Recent research shows the possibility of decoding hand movement trajectory from electroencephalography (EEG) signals. However, such studies are insufficient to apply motor rehabilitation, which are only considered hand movement trajectory. Although disabilities patients take correct hand movement, sometimes wrong elbow movement can be taken in motor rehabilitation. In this study, we explore to decode velocity of both hand and elbow at the same time from EEG signals when subjects move upper limb. The result shows feasibility toward controlling robotic arm.

Original languageEnglish
Title of host publication2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
Pages109-111
Number of pages3
DOIs
Publication statusPublished - 2013 May 17
Event2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 - Gangwon Province, Korea, Republic of
Duration: 2013 Feb 182013 Feb 20

Other

Other2013 International Winter Workshop on Brain-Computer Interface, BCI 2013
CountryKorea, Republic of
CityGangwon Province
Period13/2/1813/2/20

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Keywords

  • Arm movement trajectory
  • BCI
  • EEG
  • Upper limb rehabilitation

ASJC Scopus subject areas

  • Human-Computer Interaction

Cite this

Kim, J. H., Chavarriaga, R., Millán, J. D. R., & Lee, S. W. (2013). Three-dimensional upper limb movement decoding from EEG signals. In 2013 International Winter Workshop on Brain-Computer Interface, BCI 2013 (pp. 109-111). [6506648] https://doi.org/10.1109/IWW-BCI.2013.6506648