JACIII Vol.27 No.4 pp. 691-699
doi: 10.20965/jaciii.2023.p0691

Research Paper:

Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot

Li Jiang*1,*2,*3, Juan Zhao*1,*2,*3, Feng Wang*1,*2,*3, Yujian Zhou*1,*2, Wangyang Ge*1,*2, and Jinhua She*4,† ORCID Icon

*1School of Automation, China University of Geosciences
388 Lumo Road, Hongshan, Wuhan 430074, China

*2Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems
388 Lumo Road, Hongshan, Wuhan 430074, China

*3Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education
388 Lumo Road, Hongshan, Wuhan 430074, China

*4School of Engineering, Tokyo University of Technology
1404-1 Katakura, Hachioji, Tokyo 192-0982, Japan

Corresponding author

December 30, 2022
April 22, 2023
July 20, 2023
rehabilitation evaluation, rehabilitation robot, analytic hierarchy process, fuzzy comprehensive evaluation

Rehabilitation evaluation is an important part of rehabilitation training. It is closely related to the robot-assisted training effect. Different rehabilitation robots need different methods to evaluate patients. Rehabilitation training is a long process, and the patient’s performance scores will continue to change. A lower-limb rehabilitation robot needs a dynamic performance score to evaluate rehabilitation’s effects. This study used an analytic hierarchy process and fuzzy comprehensive evaluation methods to establish a rehabilitation evaluation system for lower-limb rehabilitation robots. A multi-scale personalized rehabilitation plan is conceived, based on the evaluation system and the combination of objective factors. This method dynamically adjusts the plan according to the rehabilitation situation of patients, which is beneficial to the improvement of the efficiency and initiative of training.

Cite this article as:
L. Jiang, J. Zhao, F. Wang, Y. Zhou, W. Ge, and J. She, “Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot,” J. Adv. Comput. Intell. Intell. Inform., Vol.27 No.4, pp. 691-699, 2023.
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Last updated on Jul. 19, 2024