Design and evaluation of a double rope rehabilitation robot for sit-to-stand training

Author:

Cao Enguo1,Zhi Lei2,Inoue Yoshio3,Yang Bin1,Wang Kun1

Affiliation:

1. Jiangnan University, Wuxi, China

2. Wuxi Rehabilitation Hospital (Wuxi Rehabilitation Center for the Disabled), Wuxi, China

3. Kochi University of Technology, Kami-City, Japan

Abstract

A double rope rehabilitation robot for sit-to-stand training is developed for human lower limb rehabilitations. Two kinds of training methods are used to ensure the safety control of rehabilitation activities. During the sit-to-stand training, the robot sensor system measures the ground reaction force, center of pressure, tension of ropes, motion track of body trunk, and the rotation angle of each body segment, and then the control system calculates the joint torques of hip, knee and ankle in real time. Six volunteers are involved in the experiment, and the results verify that the rehabilitation robot can ensure the completion of natural track in sit-to-stand training and improve the joint torque. In addition, the user’s motor intention can be identified by the control system, and the lower limb motor function can be trained effectively by encouraging users to exert strength by themselves. Therefore, the developed rehabilitation robot can be used to evaluate human body dynamics parameters and may improve rehabilitation activities in clinical environment.

Funder

National Natural Science Foundation of China

Jiangsu Province Natural Science Foundation of China

Jiangsu Province key R & D Program on Industry Prospect and Core Technology

“Six Talent Peaks” High Level Talent Project of Jiangsu Province of China

The Key Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province

Publisher

SAGE Publications

Subject

Mechanical Engineering

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Review of Intelligent Walking Support Robots: Aiding Sit-to-Stand Transition and Walking;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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