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 — BEHAVIORAL
    A 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 Group
    Individuals 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 Group
    Healthy 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

Locations (1)

FacilityCityStateZIPSite coordinators
University of Texas Medical BranchGalvestonTexas77555
Mansoo Ko
409-747-1617

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