Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab

This study is testing a new way to help people who have had a stroke improve their walking. It uses a special robot called the Morning Walk® end-effector robot, combined with virtual reality (VR) visual feedback. The goal is to help your paretic (weaker) leg push off the ground more effectively and make your walking more even. Researchers want to see if this VR-based gait training can improve how symmetrically you walk. They plan to enroll 30 participants, including 15 people who have had a stroke and 15 healthy volunteers. To join, you must be at least 20 years old. If you've had a stroke, it must have been at least one month ago, and you need to be able to walk at least 10 meters with or without help. Healthy participants must walk independently. The study is currently unclear on its recruitment status.

Study design
This interventional study plans to enroll 30 participants (15 stroke survivors, 15 healthy controls) to test a single session of VR-Based Gait Training with an End-Effector Robot.
What's involved
Participants will undergo a single session of gait training using the VR-robot system. Gait symmetry will be measured before and immediately after this training.
Compensation
Not stated in the trial record.
Follow-up
Participants are followed immediately post-training within the same session.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07087743

Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab

Recruiting
NAAges 20+InterventionalBasic science
The University of Texas Medical Branch, Galveston
~30 participants
Updated 2026-04-01 on ClinicalTrials.gov
What's tested:VR-Based Gait Training with End-Effector Robot

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Change in Spatiotemporal Gait Symmetry using the Zeno Walkway GaitMat
Measured over Baseline (pre-training) and immediately post-training (same session)
Stroke
Robot Assisted Gait Training
Virtual Reality

NCT07087743

Where you'd take part

This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • University of Texas Medical Branch

    Galveston, Texasstudy coordinator listed

    Recruiting

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

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Eligibility criteria

Inclusion

Adults aged 20 years or older.
For post-stroke participants:
Diagnosis of stroke at least 1 month prior to participation.
Able to walk at least 10 meters with or without assistive devices.

Exclusion

Individuals with a life expectancy of less than one year.
Comatose individuals.
Individuals unable to follow three-step commands.
Individuals with lower limb amputation.
Individuals with poorly controlled diabetes (e.g., foot ulceration).
Individuals with legal blindness.
Individuals with progressive neurological conditions.
Medically unstable individuals.
Individuals with significant musculoskeletal impairments.
Individuals with congestive heart failure or unstable angina.
Individuals with peripheral vascular disease.
Individuals with severe neuropsychiatric disorders (e.g., dementia, cognitive deficits, or severe depression).
  • Change in Spatiotemporal Gait Symmetry using the Zeno Walkway GaitMatBaseline (pre-training) and immediately post-training (same session)

    Spatiotemporal gait parameters will be collected using the Zeno Walkway GaitMat before and after a single session of VR-based gait training. Gait spatiotemporal parameters will be calculated from the ratio of step lengths (paretic/non-paretic in stroke group; left/right in healthy group). The step length will be compared pre- and post-training.