Effects of Variations in Hemiparetic Gait Patterns on Improvements in Walking Speed

Introduction: Current research suggests that self-selected walking speed is an important indicator of hemiparetic gait rehabilitation outcome and can be targeted for improvement. Analysis of the relationship between walking speed and the kinematic profiles of the hemiparetic gait cycle can be expanded by comparing variations in their time dependant waveforms.Methods: This paper is a pilot study to explore utilising the Linear Fit Method to compare the gait of a group of stroke survivors against a healthy baseline with respect to walking speed. This produced a set of parameters with clear physiological meaning that describe the variation of the hemiparetic gait pattern from the healthy pattern. A linear regression analysis was then performed comparing the resulting parameters against gait speed.Results: Significant linear relationships (p < 0.05) were found between the Linear Fit parameters describing the hemiparetic gait pattern variations and walking speed in both paretic and non-paretic limbs. Most notably peak paretic knee flexion reduced by 20 and peak paretic hip abductions reducing to a nearly normal pattern while peak paretic hip flexions increased by 10 degrees. The non-paretic hip flexion peak extensions remained 10 degrees below the healthy comparison hip abduction offset was reduced but remained at nearly 2.5 degrees to 5 degrees from the healthy comparison.Conclusions: As stroke survivors achieved higher walking speeds some aspects of their gait became more similar to the healthy comparison though others had no relation, or their differences became more pronounced. Combined, these relations show how paretic and non-paretic joint kinematics can be used to start identifying and quantifying effective compensatory hemiparetic gait patterns.(c) 2022 AGBM. Published by Elsevier Masson SAS. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Automated summary

This pilot study utilized the Linear Fit Method to compare the gait of stroke survivors with a healthy baseline in terms of walking speed. The results showed significant linear relationships between walking speed and the variations in the hemiparetic gait pattern. As walking speed increased, certain aspects of the gait pattern became more similar to the healthy comparison, while others remained different. These findings demonstrate how joint kinematics can be used to identify and quantify effective compensatory hemiparetic gait patterns.