Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot-Reference-Cited by-同舟云学术

Rehabilitation Evaluation System for Lower-Limb Rehabilitation Robot

Published:2023-07-20 Issue:4 Volume:27 Page:691-699
ISSN:1883-8014
Container-title:Journal of Advanced Computational Intelligence and Intelligent Informatics
language:en
Short-container-title:JACIII

Author:

Jiang Li¹²³,Zhao Juan¹²³,Wang Feng¹²³,Zhou Yujian¹²,Ge Wangyang¹²,She Jinhua⁴^ORCID

Affiliation:

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

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

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

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

Abstract

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.

Publisher

Fuji Technology Press Ltd.

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction

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