A novel design approach for lower limb rehabilitation training robot

Abstract

The restoration of walking capability is very important after central nervous system (CNS) injury. Rehabilitation training robot can replace therapists to help patients do walking training by accurately simulating the human lower limb movement, and achieve the purpose of rehabilitation ultimately. In order to further improve the rehabilitation robots' intelligent and rehabilitation training effect and completely replace therapists to some extent, a new design method is proposed in this paper: firstly, the pleasant mechanical structure design method for the rehabilitation robot is put forward. Then, the rehabilitation robot's perceptual system is designed, which includes the detection methods of bioelectric and physical signals and the effective integration of the sensor network based on multi-agent system are presented. Finally, the superiority of the rehabilitation robot designed in this paper is described through results analysis.