Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 2
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.
https://doi.org/10.5194/ms-13-675-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 2
Research article
 | 
03 Aug 2022
Research article |  | 03 Aug 2022

Electromyogram-based motion compensation control for the upper limb rehabilitation robot in active training

Qiaoling Meng, Yiming Yue, Sujiao Li, and Hongliu Yu

Viewed

Total article views: 1,209 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
921 256 32 1,209 33 30
  • HTML: 921
  • PDF: 256
  • XML: 32
  • Total: 1,209
  • BibTeX: 33
  • EndNote: 30
Views and downloads (calculated since 03 Aug 2022)
Cumulative views and downloads (calculated since 03 Aug 2022)

Viewed (geographical distribution)

Total article views: 1,132 (including HTML, PDF, and XML) Thereof 1,132 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Nov 2024
Download
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.
Read more