Research on the design of rehabilitation robot system based on neural signal control

Fanqi Guo

doi:10.1117/12.2669553

24 March 2023 Research on the design of rehabilitation robot system based on neural signal control

Fanqi Guo

Proceedings Volume 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022); 126110L (2023) https://doi.org/10.1117/12.2669553
Event: International Conference on Biological Engineering and Medical Science (ICBioMed2022), 2022, Oxford, United Kingdom

Abstract

Stroke is often accompanied by motor dysfunction, which brings a heavy burden to personal and family life. Rehabilitation training after stroke can effectively improve their motor function. However, due to the lack of medical resources for artificial rehabilitation, most patients cannot receive timely and effective rehabilitation training. The emergence of robot technology has brought a new way to solve this contradiction between supply and demand, especially the rehabilitation robot based on neural signal control, which enables patients to control the robot through their own intentions, assist themselves in completing rehabilitation training tasks and realize active rehabilitation training. In this paper, several common neural control signals and their clinical applications are summarized in combination with rehabilitation robots, and the future development of interactive robots in mechanism design, neural signal decoding and clinical applications is prospected.

Citation Download Citation

Fanqi Guo "Research on the design of rehabilitation robot system based on neural signal control", Proc. SPIE 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022), 126110L (24 March 2023); https://doi.org/10.1117/12.2669553

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