A Lower-Limb Exoskeleton Control System based on Brain-Computer Interface with Multiple Motor Imagery Segments Decoding

Zitong Wan, Zheyu Yao, Yuting Zheng, Mengjie Huang*, Rui Yang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

With the persistent exploration of brain science, brain-computer interfaces (BCI) have been developed and applied in various fields in recent years. Lower-limb rehabilitation exoskeleton control systems based on BCI achieve better effects than traditional rehabilitation methods. However, control systems based on motor imagery (MI) signals are still difficult to popularize because of low online recognition rate, high latency and unstable control. In this paper, a lower-limb exoskeleton control system based on multiple segments decoding is proposed, which can support the subject to complete the movement of raising unilateral leg tasks. First, the MI decoder is trained by the data collected offline. The online control system wirelessly connects the EEG cap with the lower-limb exoskeleton, transmits the MI signal in real-time for online decoding, and controls the exoskeleton according to the decoded instructions, which a multi-segment decoding strategy is used to improve control accuracy and system robustness. The effectiveness of the proposed system is evaluated in the online experiment, which indicated that the system is efficient for walking rehabilitation training under various scenarios.

Original languageEnglish
Title of host publication18th IEEE International Conference on Application of Information and Communication Technologies, AICT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350387537
DOIs
Publication statusPublished - 2024
Event18th IEEE International Conference on Application of Information and Communication Technologies, AICT 2024 - Hybrid, Turin, Italy
Duration: 25 Sept 202427 Sept 2024

Publication series

Name18th IEEE International Conference on Application of Information and Communication Technologies, AICT 2024

Conference

Conference18th IEEE International Conference on Application of Information and Communication Technologies, AICT 2024
Country/TerritoryItaly
CityHybrid, Turin
Period25/09/2427/09/24

Keywords

  • brain-computer interface
  • lower-limb exoskeleton
  • motor imagery
  • real-time control system
  • rehabilitation

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