International Journal of Advanced Robotic Systems (Mar 2016)

Teaching Training Method of a Lower Limb Rehabilitation Robot

  • Yongfei Feng,
  • Hongbo Wang,
  • Tingting Lu,
  • Victor Vladareanuv,
  • Qi Li,
  • Chaosheng Zhao

DOI
https://doi.org/10.5772/62445
Journal volume & issue
Vol. 13

Abstract

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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.