Industrial Modeling Design of Lower Limb Rehabilitation Robot System Based on AHP and Fuzzy Evaluation

The lower limb rehabilitation robot emphasizes user experience more and more while restoring part of the patient's limb functions. Therefore, the main content of this paper is to make the lower limb rehabilitation robot more efficient, automated and human body coordinated. The purpose is to form a complete rehabilitation training, and the constructed system industrial modeling is more in line with the needs of ergonomics. This paper establishes a user model corresponding to the product. In this paper, the lower limb rehabilitation robot is divided into four parts: a cart, a robotic arm, a connecting end, and a rehabilitation device. We studied the usability features, shape, and CMF design elements of the four components. At the same time, for the four components of the lower limb rehabilitation robot, a specific design element requirements framework has been established. We use the method of combining AHP and fuzzy evaluation to redesign the original scheme, and evaluate the improved scheme and the original scheme. The improved scheme is more suitable for matching in size, more reliable, and more ergonomic in appearance.

I. Introduction

The traditional lower limb rehabilitation training is a separate rehabilitation exercise for patients by therapists according to their own subjective experience. There are some shortcomings, such as fatigue, different levels of therapists, confusion of rehabilitation courses, lack of objective evaluation, and difficulty in achieving a high level of treatment effect [1]. The lower limb rehabilitation robot can perform repetitive training of a certain intensity, reduce the labor cost, have higher accuracy, improve the rehabilitation efficiency, and ensure that the patients with motor dysfunction can recover some limb functions.