Teaching Training Method of a Lower Limb Rehabilitation Robot

Author:

Feng Yongfei1,Wang Hongbo1,Lu Tingting1,Vladareanuv Victor2,Li Qi1,Zhao Chaosheng1

Affiliation:

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

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

Abstract

This paper presents a new lower limb rehabilitation robot (hereafter, referred to as LLR-Ro) to help patients with lower limb disorder recover their movement function. Based on the ergonomics and kinematics principle, the motion of a human lower limb is analysed, which provides a theoretical basis for the leg mechanism design of LLR-Ro. This paper also proposes a teaching training method for improving the training performance of LLR-Ro. When a physician trains the lower limb of a patient, the acceleration data of the patient's lower limb motion will be collected through a wireless data acquisition system. The data can reproduce the movement trajectory of the physician rehabilitation training and this can be used as the training trajectory of LLR-Ro. The experiment results of this study demonstrate that the teaching training method is feasible. The theory analysis and experimental research of LLR-Ro lay the foundations for the future clinical application of this method.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

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