Clinical Research Directory
Browse clinical research sites, groups, and studies.
Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab
Sponsor: The University of Texas Medical Branch, Galveston
Summary
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.
Official title: Virtual Reality-Integrated Limb Propulsion Visual Feedback System for End-Effector Robot-Assisted Stroke Rehabilitation
Key Details
Gender
All
Age Range
20 Years - Any
Study Type
INTERVENTIONAL
Enrollment
30
Start Date
2025-07-25
Completion Date
2026-12-30
Last Updated
2026-04-01
Healthy Volunteers
Yes
Interventions
VR-Based Gait Training with End-Effector Robot
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.
Locations (1)
University of Texas Medical Branch
Galveston, Texas, United States