Study on Gait Symmetry Based on Human Body Electric Field

Abstract

Walking is the most common movement in people's daily life, and symmetry is an important feature of gait. Hemiplegia gait can significantly change the symmetry of gait. Studying the symmetry of gait has important research significance for the diagnosis and rehabilitation evaluation of hemiplegia. This article uses a new non-contact electrostatic measurement method combined with the plantar pressure system to obtain human gait signals. Determining the left and right single-foot support period in the electrostatic gait signal by the plantar pressure gait signal, and the algorithm is designed to extract the corresponding time parameters. Using the left and right single-foot support period asymmetry coefficient algorithm proposed in this paper, calculating the asymmetry coefficient of 20 hemiplegic patients and 20 control subjects, the average values of hemiplegic patients and control are GASTP=21.07±1.45, GASTP=5.56±0.86 respectively, the significance test results of the two groups of data were p<0.05, and there was a significant difference between the two. The results show that the left and right single-foot support period asymmetry of the electrostatic gait signal proposed in this paper can be used as a feature to distinguish between hemiplegic gait and normal gait.