The role of robot-assisted training on rehabilitation outcomes in Parkinson’s disease: a systematic review and meta-analysis
Yanmin Tao, Jingsong Luo, Jing Tian, Sihan Peng, Hongyan Wang, Jun Cao, Zhifei Wen, Xiangeng Zhang
- Year
- 2023
- Citations
- 10
Abstract
PURPOSE: The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkinson's disease (PD), and to explore the best-acting robotic rehabilitation program. METHODS: We searched studies in seven databases and the search period was from the build to 30 June 2023. Two researchers independently screened studies and assessed the quality of the studies for data extraction. RESULTS: = 0.458). CONCLUSION: Robot-assisted rehabilitation significantly improved motor function, fatigue, and balance confidence in PD patients, but current evidence doesn't show that intelligent rehabilitation systems improve upper limb function. In particular, robotics combined with virtual reality worked best.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992