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RECRUITING
NCT07034105
NA

Spatiotemporal Gait Parameters of Healthy and Stroke Patients During Overground, Treadmill, and Body Weight Supported Treadmill Walking

Sponsor: Bangladesh University of Engineering and Technology

View on ClinicalTrials.gov

Summary

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.

Official title: Variability in Spatiotemporal Gait Parameters of Stroke Patients Across Overground, Self Paced Treadmill, and Body-Weight Supported Treadmill Walking

Key Details

Gender

All

Age Range

18 Years - 75 Years

Study Type

INTERVENTIONAL

Enrollment

25

Start Date

2024-06-12

Completion Date

2026-02-11

Last Updated

2025-06-24

Healthy Volunteers

No

Interventions

DIAGNOSTIC_TEST

Gait Analysis

* 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.

Locations (1)

Bangladesh University of Engineering and Technology

Dhaka, Bangladesh