Attention-controlled assistive wrist rehabilitation using a low-cost EEG sensor

Min Li, Ziting Liang, Bo He, Chen-Guang Zhao, Wei Yao, Guanghua Xu, Jun Xie, Lei Cui

Research output: Contribution to journalArticle

Abstract

It is essential to make sure patients be actively involved in motor training using robot-assisted rehabilitation to achieve better rehabilitation outcomes. This paper introduces an attention-controlled wrist rehabilitation method using a low-cost EEG sensor. Active rehabilitation training is realized using a threshold of the attention level measured by the low-cost EEG sensor as a switch for a flexible wrist exoskeleton assisting wrist flexion/extension and radial/ulnar deviation. We present a prototype implementation of this active training method and provide a preliminary evaluation. The feasibility of the attention-based control was proven with the overall actuation success rate of 95%. The experimental results also proved that the visual guidance was helpful for the users to concentrate on the wrist rehabilitation training: two types of visual guidance, namely, looking at the hand motion shown on a video and looking at the user's own hand had no significant performance difference. A general threshold of a certain group of users can be utilized in the wrist robot control rather than a customized threshold to simplify the procedure.
LanguageEnglish
Article number8686128
Pages6497-6507
Number of pages11
JournalIEEE Sensors Journal
Volume9
Issue number15
Early online date11 Apr 2019
DOIs
Publication statusPublished - 1 Aug 2019

Fingerprint

wrist
electroencephalography
Electroencephalography
Patient rehabilitation
education
sensors
Sensors
Costs
thresholds
exoskeletons
robot control
Robots
robots
actuation
switches
prototypes
Switches
deviation
evaluation

Keywords

  • rehabilitation robots
  • wrist rehabilitation
  • exoskeleton
  • brain-controlled robots
  • brain-computer interface

Cite this

Li, M., Liang, Z., He, B., Zhao, C-G., Yao, W., Xu, G., ... Cui, L. (2019). Attention-controlled assistive wrist rehabilitation using a low-cost EEG sensor. IEEE Sensors Journal, 9(15), 6497-6507. [8686128]. https://doi.org/10.1109/JSEN.2019.2910318
Li, Min ; Liang, Ziting ; He, Bo ; Zhao, Chen-Guang ; Yao, Wei ; Xu, Guanghua ; Xie, Jun ; Cui, Lei. / Attention-controlled assistive wrist rehabilitation using a low-cost EEG sensor. In: IEEE Sensors Journal. 2019 ; Vol. 9, No. 15. pp. 6497-6507.
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Li, M, Liang, Z, He, B, Zhao, C-G, Yao, W, Xu, G, Xie, J & Cui, L 2019, 'Attention-controlled assistive wrist rehabilitation using a low-cost EEG sensor' IEEE Sensors Journal, vol. 9, no. 15, 8686128, pp. 6497-6507. https://doi.org/10.1109/JSEN.2019.2910318

Attention-controlled assistive wrist rehabilitation using a low-cost EEG sensor. / Li, Min; Liang, Ziting; He, Bo; Zhao, Chen-Guang; Yao, Wei; Xu, Guanghua; Xie, Jun; Cui, Lei.

In: IEEE Sensors Journal, Vol. 9, No. 15, 8686128, 01.08.2019, p. 6497-6507.

Research output: Contribution to journalArticle

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