Reliability and Validity of Attitude and Heading Reference System Motion Estimation in a Novel Mirror Therapy System

Abstract

In this study, we conducted an experiment for validating a motion estimation system used in novel mirror therapy. The proposed motion estimation system consists of two parts. The first part is motion estimation using attitude and heading reference system sensors. The system attaches a reference frame to a patient to provide flexibility to the patient's movements. The second part is a compensation algorithm that uses principal component analysis (PCA). Ten subjects performed simple reaching tasks for the validation experiment. The results showed success rate of 89.67% under normal conditions. The PCA-based compensation algorithm increases the success rate from 89.67 to 92.89%. Accurate capturing of healthy arm motion will make effective robot-aided mirror therapy systems feasible.