Articles | Volume 13, issue 2
https://doi.org/10.5194/ms-13-675-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-675-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Electromyogram-based motion compensation control for the upper limb rehabilitation robot in active training
Qiaoling Meng
Institute of Rehabilitation Engineering and Technology, University of
Shanghai for Science and Technology, Shanghai 200093, China
Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
Key Laboratory of Neural-functional Information and Rehabilitation
Engineering of the Ministry of Civil Affairs, Shanghai, China
Yiming Yue
Institute of Rehabilitation Engineering and Technology, University of
Shanghai for Science and Technology, Shanghai 200093, China
Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
Key Laboratory of Neural-functional Information and Rehabilitation
Engineering of the Ministry of Civil Affairs, Shanghai, China
Sujiao Li
Institute of Rehabilitation Engineering and Technology, University of
Shanghai for Science and Technology, Shanghai 200093, China
Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
Key Laboratory of Neural-functional Information and Rehabilitation
Engineering of the Ministry of Civil Affairs, Shanghai, China
Hongliu Yu
CORRESPONDING AUTHOR
Institute of Rehabilitation Engineering and Technology, University of
Shanghai for Science and Technology, Shanghai 200093, China
Shanghai Engineering Research Center of Assistive Devices, Shanghai, China
Key Laboratory of Neural-functional Information and Rehabilitation
Engineering of the Ministry of Civil Affairs, Shanghai, China
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Short summary
This paper proposes a novel EMG-based motion compensation controller in active training control to improve patients’ active participation. After proposing an upper limb rehabilitation robot and doing the path plan, the EMG compensation experiments and the active training control experiment are done to prove that the method can control the robot in providing auxiliary force according to patients’ motion intents. The robot can guide the patients in implementing reference tasks in active training.
This paper proposes a novel EMG-based motion compensation controller in active training control...