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

NCT07034105 | Recruiting

• 1 other identifier: BUET/ERC/2024/02
• Study Type: interventional
• Target: 25
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

Gait Analysis; Spatiotemporal Parameters; Body Weight Support System (BWSS)

Outcome Measures

Primary Outcomes (1)

• 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.

  Baseline

Study Arms (1)

Experimental Group - Walking Modalities Comparison

EXPERIMENTAL

This arm will involve stroke patients who undergo all three walking modalities (Overground Walking, Self-Paced Treadmill, and Body-Weight Supported Treadmill) in a counterbalanced order. Each patient will perform all modalities, and the spatiotemporal gait parameters such as stride length, cadence, and gait speed will be measured for analysis. The primary goal is to compare gait parameter variability and reliability across different walking conditions, assessing the effect of each modality on stroke rehabilitation.

Diagnostic Test: Gait Analysis

Interventions

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.

Experimental Group - Walking Modalities Comparison

Eligibility Criteria

• Age: 18 Years - 75 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.
• Participants must be able to provide informed consent to participate in the study.

You may not qualify if:

• 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.
• Unstable cardiovascular disease like congenital heart disease, deep vein thrombosis, coronary heart disease, previous history of heart attack or heart failure.

Sponsors & Collaborators

• Bangladesh University of Engineering and Technology: lead
• Dhaka Medical College: collaborator

Study Sites (1)

Bangladesh University of Engineering and Technology

Dhaka, 1000, Bangladesh

RECRUITING

MeSH Terms

Interventions

Gait Analysis

Intervention Hierarchy (Ancestors)

Gait; Physical Examination; Diagnostic Techniques and Procedures; Diagnosis; Physical Functional Performance; Physical Fitness; Health; Population Characteristics

Study Officials

• Muhammad Tarik Arafat, PhD

  Department of Biomedical Engineering, Bangladesh University of Engineering and Technology (BUET), Dhaka - 1205.

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Muhammad Tarik Arafat, PhD

CONTACT

01911764467; tarikarafat@bme.buet.ac.bd

Mehedi Hasan Prince, B.Sc.

CONTACT

+8801745676375; mhprince.bme@gmail.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: SUPPORTIVE CARE
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Professor

Study Record Dates

• First Submitted: April 19, 2025
• First Posted: June 24, 2025
• Study Start: June 12, 2024
• Primary Completion: July 11, 2025
• Study Completion: February 11, 2026
• Last Updated: June 24, 2025

Record last verified: 2025-06

Data Sharing

• IPD Sharing: Will not share

Locations

BA (1)