Principal component analysis of variables from insole type pressure measurement system - for post-stroke hemiplegia

Gait variables, even temporospatial parameters, have close relationships between each variable. Previous study revealed some independent components among temporospatial parameters in normal subjects. In this study, we measured temporospatial and CoP related parameters with foot pressure measurement system in post-stroke hemiplegia. We explored independent parameters by principal component analysis. There were 3 independent components which could explain 73.9% of total variance. We interpreted 1st component as representing impairments in more affected lower limb function. We interpreted 2nd component as representing compensations in less affected lower limb function. We interpreted 3rd component as representing variability and stability. These findings could be helpful in rehabilitation for post-stroke gait