A Method for Self-Service Rehabilitation Training of Human Lower Limbs

TL;DR

This paper introduces a novel self-service rehabilitation training method that uses linear mapping of healthy limb movements to assist injured lower limbs, demonstrated through MATLAB/Simulink simulations.

Contribution

A new method for rehabilitation training that leverages contralateral healthy limb movements to control and assist injured limbs, with validated linear mapping models.

Findings

Linear mapping model achieves high accuracy.

Method effectively assists unilateral limb injury rehabilitation.

Simulation results demonstrate good adaptability.

Abstract

In recent years, the research of rehabilitation robot technology has become a hotspot in the field of rehabilitation medicine engineering and robotics. To assist active rehabilitation in patients with unilateral lower extremity injury, we propose a new self-service rehabilitation training method to control the injured lower extremity through its contralateral healthy upper limbs. Firstly, the movement data of upper limbs and lower limbs of healthy people in normal walking state are obtained by gait measurement experiment. Secondly, the eigenvectors of upper limb and lower limb movements in a single movement cycle are extracted respectively. Thirdly, the linear mapping relationship between the upper limbs movement and the lower limbs movement is identified using the least squares method. Finally, the simulation experiment of self-service rehabilitation training is implemented on MATLAB/Simulink. The results indicate that the identified linear mapping model can achieve good accuracy and adaptability. The self-service rehabilitation training method is effective for helping patients with unilateral limb injury to make rehabilitation training on themselves.