Gait impairments following a stroke significantly hinder mobility and quality of life, emphasizing the need for precise assessment methods to guide effective rehabilitation strategies. This study evaluates the variability and reliability of spatiotemporal gait parameters across three walking modalities: overground walking, treadmill walking, and body-weight-supported treadmill walking. Using a counterbalanced design, all participants undergo gait analysis in each modality to ensure unbiased and reliable comparisons.
The study also incorporates a locally developed, cost-effective Body Weight Support System (BWSS) to address the limitations of accessibility in resource-constrained settings. By identifying how different modalities influence gait variability and reliability, this research aims to optimize rehabilitation outcomes and demonstrate the feasibility of implementing affordable gait analysis tools in clinical practice.
Participants must be between 18 to 75 years old.
More than 1- month post stroke patient.
Participants must be able to walk with or without assistance.
Patients including both the male and female.
Severe cognitive or communicative disorders.
Significant joint malposition.
Psychological, cognitive dysfunction, and any other neuromuscular problem.
Pregnant women will be excluded to avoid any potential risks to the mother and fetus.
Single group
Gait Analysis
Diagnostic test* Overground Walking: Stroke patients walk in a natural environment, collecting data on their gait parameters such as stride length, cadence, and gait speed. * Treadmill: Patients walk on a treadmill at their comfortable pace, allowing for more control over their walking speed while measuring the same gait parameters as in overground walking. * Body-Weight Supported Treadmill: Patients walk on a treadmill with a body-weight support system that reduces the load on the legs, enabling patients with more severe impairment to perform walking tasks safely while recording gait parameters.
Spatiotemporal Gait Parameter Variability
The primary outcome measure will be the variability of spatiotemporal gait parameters, including stride length, cadence, and gait speed, assessed during the three walking modalities (Overground, treadmill, and body weight supported treadmill). The variability will be analyses by calculating the standard deviation and coefficient of variation for each parameter across all walking conditions. These measures will reflect the stability and consistency of the patients' gait performance in different walking settings, which is crucial for understanding their rehabilitation progress and the effect of each walking modality on recovery.
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Bangladesh University of Engineering and Technology
Lead sponsor
Dhaka Medical College
Collaborator
