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Tong et al. Intell Robot 2024;4:125-45 I http://dx.doi.org/10.20517/ir.2024.08 Page 143
fuzzy PID-based active control method, a visually guided gamified rehabilitation training program is designed.
This program enhances the efficiency of robot-assisted rehabilitation and makes it more interesting for patients
in traditional rehabilitation training due to the monotonous training environment.
DECLARATIONS
Authors’ contributions
Made substantial contributions to the conception and design of the study and performed data analysis and
interpretation: Tong L, Cui D
Performed data acquisition and provided administrative, technical, and material support: Wang C, Peng L
Availability of data and materials
Not applicable.
Financial support and sponsorship
This work was supported by the National Key Research and Development Program of China under Grant
2022YFC3601200,theNationalNaturalScienceFoundationofChinaunderGrant62203441andGrantU21A20479,
and the Beijing Natural Science Foundation under Grant 4232053.
Conflicts of interest
All authors declared that there are no conflicts of interest.
Ethical approval and consent to participate
This research was reviewed and approved by the Ethics Committee of the Institute of Automation, Chinese
Academy of Science (approval number: IA21-2309-020201). Written informed consent was signed by each
subject prior to inclusion in the study.
Consent for publication
Not applicable.
Copyright
© The Author(s) 2024.
REFERENCES
1. Raina P, Gilsing A, Mayhew AJ, Sohel N, van den Heuvel E, Griffith LE. Individual and population level impact of chronic conditions
on functional disability in older adults. PLoS ONE 2020;15:e0229160. DOI
2. Wang F, Zhang S, Zhou F, Zhao M, Zhao H. Early physical rehabilitation therapy between 24 and 48 h following acute ischemic stroke
onset: a randomized controlled trial. Disabil Rehabil 2022;44:3967-72. DOI
3. Scheib J, Höke A. Advances in peripheral nerve regeneration. Nat Rev Neurol 2013;9:668-76. DOI
4. Babaiasl M, Mahdioun SH, Jaryani P, Yazdani M. A review of technological and clinical aspects of robot-aided rehabilitation of upper-
extremity after stroke. Disabil Rehabil 2016;11:263-80. DOI
5. Li B, Li G, Sun Y, Jiang G, Kong J, Jiang D. A review of rehabilitation robot. In: 2017 32nd Youth Academic Annual Conference of
Chinese Association of Automation (YAC); 2017 May 19-21; Hefei, China. IEEE; 2017. pp. 907-11. DOI
6. Hogan N, Krebs HI, Charnnarong J, Srikrishna P, Sharon A. MIT-MANUS: a workstation for manual therapy and training. I. In: Proceed-
ings IEEE International Workshop on Robot and Human Communication; Tokyo, Japan. IEEE; 1992. pp. 161-5. DOI
7. Lum PS, Burgar CG, Van der Loos M, Shor PC, Majmundar M, Yap R. MIME robotic device for upper-limb neurorehabilitation in
subacute stroke subjects: a follow-up study. J Rehabil Res Dev 2006;43:631-42. Available from: https://pubmed.ncbi.nlm.nih.gov/
7123204/. [Last accessed on 7 Mar 2024]
8. Lum PS, Burgar CG, Shor PC, Majmundar M, Van der Loos M. Robot-assisted movement training compared with conventional therapy
techniques for the rehabilitation of upper-limb motor function after stroke. Arch Phys Med Rehab 2002;83:952-9. DOI
9. Loureiro R, Amirabdollahian F, Topping M, Driessen B, Harwin W. Upper limb robot mediated stroke therapy - GENTLE/s approach.
Auton Robot 2003;15:35-51. DOI