RecruitingNot ApplicableNCT07087743

Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab

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


Sponsor

The University of Texas Medical Branch, Galveston

Enrollment

30 participants

Start Date

Jul 25, 2025

Study Type

INTERVENTIONAL

Conditions

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.


Eligibility

Min Age: 20 Years

Inclusion Criteria6

  • 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 Criteria12

  • 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).

Interested in this trial?

Get notified about updates and connect with the research team.

Interventions

BEHAVIORALVR-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

View Full Details on ClinicalTrials.gov

For the most up-to-date information, visit the official listing.

Visit

NCT07087743


Related Trials