Abstract
Hand rehabilitation is critical to the recovery of post-stroke patients. However, designing a modular mechanism of the hand to improve the human-machine compatibility and precision of operation is still a challenge. This paper proposes a new type of hand exoskeleton rehabilitation robot with nine degrees of freedom. With the flexible rods, the passive range of motion for finger adduction/abduction is extended under the premise of independent flexion/extension of the metacarpophalangeal and proximal interphalangeal joint. Based on hand anatomy, the relationship between the offset of the metacarpophalangeal joint and the body height in the process of flexion and extension is discussed, and it is applied to the structure optimization and control system. The genetic algorithm is employed to achieve the size optimization, and the kinematics is analyzed. Finally, a prototype is built and preliminary experiments are carried out, including the range of motion and the grasping ability of the robot. The experimental results show that the robot can realize the patients’ hand rehabilitation function and has certain adaptability.
Funder
National Natural Science Foundation of China
Science and Technology (S&T) Program of Hebei
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Optimization,Mechanical Engineering,Computer Science (miscellaneous),Control and Systems Engineering
Reference34 articles.
1. Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016;Feigin;N. Engl. J. Med.,2018
2. WHO (2021). World Health Statistics 2021: Monitoring Health for the SDGs, Sustainable Development Goals, World Health Organization. Licence: CC BY-NC-SA 3.0 IGO.
3. Jia, J. (2019). Hand Function Rehabilitation, Publishing House of Electronics Industry. [1st ed.].
4. An overview of robotic/mechanical devices for post-stroke thumb rehabilitation;Suarez;Disabil. Rehabil. Assist. Technol.,2018
5. Exoskeletal devices for hand assistance and rehabilitation: A comprehensive analysis of state-of-the-art technologies;Noronha;IEEE Trans. Med. Robot. Bionics,2021
Cited by
2 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