NCT07034105

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

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

• Status: Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 25 (estimated)
• Sponsor: Bangladesh University of Engineering and Technology · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

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.

Detailed description

Stroke remains a leading cause of long-term disability, with gait impairments being a prominent challenge that significantly affects functional independence. Accurate and reliable assessment of gait parameters is crucial for tailoring rehabilitation interventions. This study investigates the variability and reliability of spatiotemporal gait parameters, such as stride length, cadence, step time, and gait variability, across three distinct walking modalities: 1. Overground walking 2. Self paced treadmill walking 3. Body weight supported treadmill walking The study employs a counterbalanced design, where each participant performs all three walking modalities, mitigating potential order effects and ensuring robust and reproducible comparisons. Advanced motion analysis systems are utilized to capture high-resolution data, providing insights into the dynamic interplay of gait variability and reliability under each condition. A key innovation of this study is the use of an in-house, cost-effective Body Weight Support System (BWSS). Unlike commercially available systems, which are often prohibitively expensive, the BWSS is designed for accessibility in resource-limited settings, enabling widespread clinical and research applications. This approach aligns with the study's broader goal of improving healthcare equity by developing practical solutions tailored to local needs. By analyzing the impact of different walking modalities on gait, the research aims to: i. To analyze the variability and reliability of spatiotemporal gait parameters in stroke patients across overground, treadmill, and body weight supported treadmill walking (BWST). ii. To identify the walking modality that exhibits the most consistent and stable gait metrics. iii. To assess the clinical relevance of gait parameters from different walking modalities to optimize stroke rehabilitation interventions. This research not only advances the understanding of stroke rehabilitation but also contributes to the global effort to make cutting-edge medical technologies accessible to underserved populations.

Conditions

• Gait Impairment in Stroke Patients

Interventions

Type	Name	Description
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.

Timeline

• Start date: 2024-06-12
• Primary completion: 2025-07-11
• Completion: 2026-02-11
• First posted: 2025-06-24
• Last updated: 2025-06-24

Locations

1 site across 1 country: Bangladesh