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.
Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab
At a glance
Conditions
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.
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
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Inclusion
Exclusion
What this trial measures
- 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.