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

NCT07034105 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 25

Last updated 2025-06-24

No results posted yet for this study

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.

Conditions

  • Gait Impairment in Stroke Patients

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.

Sponsors & Collaborators

  • Dhaka Medical College

    collaborator OTHER

  • Bangladesh University of Engineering and Technology

    lead OTHER

Principal Investigators

  • Muhammad Tarik Arafat, PhD · Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka - 1205.

Study Design

Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-12
Primary Completion
2025-07-11
Completion
2026-02-11

Countries

  • Bangladesh

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07034105 on ClinicalTrials.gov