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Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab

Virtual Reality-Integrated Limb Propulsion Visual Feedback System for End-Effector Robot-Assisted Stroke Rehabilitation

Who can join

Ages 20 and older · All sexes · Healthy volunteers welcome

Inclusion Criteria:

* 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 Criteria:

* 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 poorly controlled diabetes (e.g., foot ulceration).
* Individuals with legal blindness.
* Individuals with progressive neurological conditions.
* Medically unstable individuals.
* Individuals with significant musculoskeletal impairments.
* 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).

About the study

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.

What is being tested

• VR-Based Gait Training with End-Effector Robot (behavioral)

Sponsor: The University of Texas Medical Branch, Galveston · Participants: 30 · Started: Jul 25, 2025

Contact the study team

• Mansoo Ko, PhD · Phone: 409-747-1617

Official record on ClinicalTrials.gov — NCT07087743

Locations in the U.S.

Conditions

• Stroke

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.