Virtual reality feedback to help stroke survivors walk with a robot
Tests virtual reality feedback during robot-assisted walking practice in adults recovering from stroke.
Plain-language title generated from the registry record
Registry title: Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab
Key facts
- Where
- Galveston, United StatesSee the site
Where in United States
- University of Texas Medical BranchGalveston, United StatesTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- The University of Texas Medical Branch, Galveston
- Trial code
- NCT07087743
- Record updated
- 1 April 2026
- Original description
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.Read full original descriptionShow less
Virtual Reality-Integrated Limb Propulsion Visual Feedback System for End-Effector Robot-Assisted Stroke Rehabilitation
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.
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; For healthy participants:; ° Must walk independently without assistive devices.
Exclusion: Individuals with poorly controlled diabetes (e.g., foot ulceration); Individuals with progressive neurological conditions; 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); 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 legal blindness; Medically unstable individuals; Individuals with significant musculoskeletal impairments.