Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab
Part of paid clinical trials in Galveston, Texas.
- Sponsor
- The University of Texas Medical Branch, Galveston
- Study ID
- NCT07087743
- Status
- Recruiting
Conditions
- Robot Assisted Gait Training
- Stroke
- Virtual Reality
Eligibility Criteria
- Sex
- ALL
- Age
- 20 Years - N/A
- Healthy Volunteers
- Accepted
Interventions
- VR-Based Gait Training with End-Effector Robot — BEHAVIORALA single-session gait training protocol using the Morning Walk® end-effector robot with real-time virtual reality visual feedback to encourage paretic limb propulsion and symmetrical gait. This intervention is intended to study participants' behavioral and biomechanical responses to the VR feedback, not to evaluate the robot as a device.
Study Details
This study evaluates a novel Virtual Reality (VR)-integrated visual feedback system designed to enhance limb propulsion during robot-assisted gait rehabilitation in individuals post-stroke. In collaboration with CUREXO, a rehabilitation robotics company, the system is embedded within the Morning Walk® end-effector robot and provides real-time visual feedback to facilitate symmetrical use of the paretic and non-paretic limbs. The goal is to address gait asymmetry commonly observed in hemiparetic stroke survivors by promoting improved paretic leg propulsion, which is a key contributor to forward movement during walking. A total of 30 participants (15 stroke, 15 healthy controls) aged 20 years or older will undergo single-session gait training using the VR-robot system. Participants will be assessed using spatiotemporal gait parameters, muscle activity, foot pressure, and vertical ground reaction forces. Additional safety measures-including a saddle-type weight support and real-time heart rate monitoring via smartwatch-are implemented to ensure a safe and controlled training environment. This study aims to test the feasibility and effectiveness of this VR-based system in improving gait symmetry and functional walking capacity in people recovering from stroke.
Key Dates
- Start date
- Jul 25, 2025
- Status verified
- Mar 2026
- Primary completion
- Dec 27, 2026
- Completion
- Dec 30, 2026
Study Design
- Enrollment
- 30 participants (estimated)
- Allocation
- NON_RANDOMIZED
- Intervention model
- PARALLEL
- Primary purpose
- BASIC_SCIENCE
Arms
- Experimental: Post-Stroke GroupIndividuals who have had a stroke will complete a single session of VR-integrated gait training using the Morning Walk® end-effector robot. Gait performance will be evaluated before and after training.
- Experimental: Healthy GroupHealthy participants will undergo the same single-session VR-integrated gait training using the Morning Walk® end-effector robot. Pre- and post-training assessments will be conducted.
Primary Outcome Measure
Change in Spatiotemporal Gait Symmetry using the Zeno Walkway GaitMat [ Time Frame: Baseline (pre-training) and immediately post-training (same session) ]
Central Contacts
- Mansoo Ko, PhD409-747-1617
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| University of Texas Medical Branch | Galveston | Texas | 77555 | Mansoo Ko 409-747-1617 |
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