Review Article

Open Access

2023 Jun;1(1):10-18

https://doi.org/10.61189/478535cfhrmf

Control technologies of lower limb rehabilitation exoskeleton robots based on surface electromyography: A review

Yunsheng Zhong

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Shuyi Wang

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Li Gong

Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200041, China.

Hua Xing

Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200041, China.

Rongguo Yan

yanrongguo@usst.edu.cn

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to

Article notes

Highlights

Rongguo Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn.

Received December 30, 2022; Accepted April 20, 2023; Published June 30, 2023

In this review, the latest progress of threshold control, proportional control and pattern recognition control based on surface electromyography in lower limb rehabilitation exoskeleton robots are presented.

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Review Article

Open Access

Control technologies of lower limb rehabilitation exoskeleton robots based on surface electromyography: A review

Yunsheng Zhong

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Shuyi Wang

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Li Gong

Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200041, China.

Hua Xing

Department of Tuina, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200041, China.

Rongguo Yan

yanrongguo@usst.edu.cn

School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Address correspondence to

Rongguo Yan, School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. E-mail: yanrongguo@usst.edu.cn.

Article notes

Received December 30, 2022; Accepted April 20, 2023; Published June 30, 2023

Highlights

2023 Jun;1(1):10-18

doi:https://doi.org/10.61189/478535cfhrmf

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Abstract

The aging population is accompanied by a decline in human body function, leading to an increasing number of people with lower limb dysfunction, which has become a global public health challenge today. The lower limb rehabilitation exoskeleton robot based on surface electromyography is a current research hotspot. It can help people with lower extremity dysfunction perform better rehabilitation training. This review presents the analysis and processing of surface electromyography, feature extraction and recognition, as well as the control methods for lower limb rehabilitation exoskeleton robots.

Keywords: Surface electromyography, lower limb exoskeleton robot, feature identification, rehabilitation treatment, man-machine interaction

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