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Updated: Oct 10, 2025

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A Rehabilitation Program of Exoskeleton-assisted Body Weight-Supported Treadmill Training with Non-immersive Virtual Reality for Stroke Patients
Published on: May 16, 2025
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Development of Virtual Reality-based Gait Training System Simulating Personal Home Environment.
Summary
Virtual reality (VR) gait training with visual feedback helps patients improve walking and balance. This system simulates home environments, reducing fall risk for inpatients after discharge.
Area of Science:
- Rehabilitation Medicine
- Human-Computer Interaction
- Neuroscience
Background:
- Gait and balance impairments increase fall risk in inpatients, particularly after discharge.
- Traditional gait training may not fully prepare patients for real-world home environments.
- Virtual reality (VR) offers a promising tool for immersive and controlled rehabilitation.
Purpose of the Study:
- To develop and evaluate a VR-based gait training system for inpatients.
- To assess the effectiveness of visual feedback in improving gait and reducing collisions within a simulated home environment.
- To investigate the system's utility for patients with stroke and lower limb paralysis.
Main Methods:
- Development of a VR system simulating a home environment with interactive objects.
- Implementation of visual feedback upon collision to prompt gait modification.
- Testing with healthy young adults to validate feedback effectiveness.
- Application of the system for gait training in an inpatient with stroke and lower limb paralysis.
Main Results:
- Healthy adults showed reduced walking time and fewer collisions with VR visual feedback.
- A stroke patient with lower limb paralysis demonstrated significant improvements in gait and balance after five days of VR training.
- The VR system effectively simulated a patient's home environment for tailored training.
Conclusions:
- VR-based gait training with visual feedback is effective for improving gait and balance.
- The system enhances attention to the surrounding environment during locomotion.
- This technology offers a novel approach for post-discharge fall risk reduction in clinical populations, especially stroke survivors.

