Actively Recruiting
Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab
Led by The University of Texas Medical Branch, Galveston · Updated on 2026-04-01
30
Participants Needed
1
Research Sites
74 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adults aged 20 years or older
- For post-stroke participants: diagnosis of stroke at least 1 month prior to participation
- For post-stroke participants: able to walk at least 10 meters with or without assistive devices
- For healthy participants: must walk independently without assistive devices
You will not qualify if you...
- Life expectancy less than one year
- Comatose individuals
- Unable to follow three-step commands
- Lower limb amputation
- Poorly controlled diabetes (e.g., foot ulceration)
- Legal blindness
- Progressive neurological conditions
- Medically unstable individuals
- Significant musculoskeletal impairments
- Congestive heart failure or unstable angina
- Peripheral vascular disease
- Severe neuropsychiatric disorders (e.g., dementia, cognitive deficits, or severe depression)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
University of Texas Medical Branch
Galveston, Texas, United States, 77555
Actively Recruiting
Research Team
M
Mansoo Ko, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NON_RANDOMIZED
Model
PARALLEL
Primary Purpose
BASIC_SCIENCE
Number of Arms
2
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