Selecting Training method of a rehabilitation robot Based on fuzzy comprehensive evaluation

Abstract

Gait training is an important part of robotic gait rehabilitation, which is helpful to provide consistent, adjustable physical therapy comparing with traditional manual training. However the selection training mode has become a problem. In order to solve the selection problem of training mode of a lower limb rehabilitation robot, this paper puts forward a method which is based on fuzzy comprehensive evaluation. Firstly, this paper establishes the evaluation model which includes selecting five evaluation indicators, establishing evaluation set, fuzzy evaluation matrix and determining the weight of factors. On the basis, the numerical example is given at the end of this section to illustrate the feasibility of the methodology. The results show that the method is reasonable and effective.