《Chinese Journal of Rehabilitation Theory and Practice》 ›› 2020, Vol. 26 ›› Issue (12): 1464-1470.doi: 10.3969/j.issn.1006-9771.2020.12.016

Previous Articles     Next Articles

Solution for Movement Mode of Lower Limb Rehabilitation Robot Adapted to Individual Differences

PU Ming-hui1,2(),YU Wei1,XIA Kai1,CHEN Lin1,2,PAN Hai-hong1,2   

  1. 1. College of Mechanical Engineering, Guangxi University, Nanning, Guangxi 530004, China
    2. Guangxi Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology, Nanning, Guangxi 530004, China
  • Received:2019-11-26 Revised:2019-12-10 Published:2020-12-25 Online:2020-12-30
  • Contact: PU Ming-hui E-mail:minghui@gxu.edu.cn
  • Supported by:
    Guangxi Innovation-Driven Development Project(AA17204017);Guangxi Key Research and Development Project(AB16380237)

Abstract:

Objective To solve the movement mode adapting to individual differences for the trajectory planning of lower limb rehabilitation robots.Methods After summarizing the six movement modes of the lower limb rehabilitation robot, according to the multi-rigid body theory of the human body, the exoskeleton of the lower limb rehabilitation robot was simplified into a two-bar linkage mechanism, the inverse kinematics analysis of the motion mode was performed, and the motion pattern solving system was designed based on C#.Results The motion mode joint angle value calculated based on the C# motion mode solving system was transmitted to the upper computer, and the six motion modes were successfully applied to the lower limb rehabilitation robot. Through the inversion kinematics analysis of the motor model, the C#-designed motion mode solving system could solve the motorized joint angle values that adapted to individual of different leg lengths with lower extremity motor dysfunction. Through physical prototype experiments, the lower limb rehabilitation robot could drive the human body model for rehabilitation training according to the planned exercise mode. The actual joint angle curve and the theoretical joint angle curve were basically coincident, the joint angle error was small. Conclusion The individual difference motion pattern solution is valid and feasible.

Key words: lower limb rehabilitation robot, rehabilitation exercise mode, inverse kinematics analysis, precise rehabilitation

CLC Number: