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新型下肢康复机器人的安全性和合规性研究。

Research on Safety and Compliance of a New Lower Limb Rehabilitation Robot.

机构信息

Parallel Robot and Mechatronic System Laboratory of Hebei Province, Key Laboratory of Advanced Forging & Stamping Technology and Science of Ministry of Education, Yanshan University, Qinhuangdao 066004, China.

Institute of Solid Mechanics of Romanian Academy, 010141 Bucharest, Romania.

出版信息

J Healthc Eng. 2017;2017:1523068. doi: 10.1155/2017/1523068. Epub 2017 Jul 26.

Abstract

The lower limb rehabilitation robot is an application of robotic technology for stroke people with lower limb disabilities. A new applicable and effective sitting/lying lower limb rehabilitation robot (LLR-Ro) is proposed, which has the mechanical limit protection, the electrical limit protection, and the software protection to prevent the patient from the secondary damage. Meanwhile, as a new type of the rehabilitation robots, its hip joint rotation ranges are different in the patient sitting training posture and lying training posture. The mechanical leg of the robot has a variable workspace to work in both training postures. So, if the traditional mechanical limit and the electrical limit cannot be used in the hip joint mechanism design, a follow-up limit is first proposed to improve the compatibility of human-machine motion. Besides, to eliminate the accident interaction force between the patient and LLR-Ro in the process of the passive training, an amendment impedance control strategy based on the position control is proposed to improve the compliance of the LLR-Ro. A simulation experiment and an experiment with a participant show that the passive training of LLR-Ro has compliance.

摘要

下肢康复机器人是机器人技术在下肢运动功能障碍的脑卒中患者中的应用。提出了一种新的适用且有效的坐/卧下肢康复机器人(LLR-Ro),它具有机械限位保护、电气限位保护和软件保护,以防止患者受到二次伤害。同时,作为一种新型的康复机器人,其髋关节的旋转范围在患者坐姿训练和卧姿训练时有所不同。机器人的机械腿具有可变的工作空间,可以在两种训练姿势下工作。因此,如果传统的机械限位和电气限位不能用于髋关节机构设计,则首先提出后续限位以提高人机运动的兼容性。此外,为了消除被动训练过程中患者与 LLR-Ro 之间的意外交互力,提出了一种基于位置控制的修正阻抗控制策略,以提高 LLR-Ro 的柔顺性。仿真实验和参与者实验表明,LLR-Ro 的被动训练具有柔顺性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f666/5549508/d06affa8e880/JHE2017-1523068.001.jpg

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