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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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Stroke Affected Lower Limbs Rehabilitation Combining Virtual Reality With Tactile Feedback
Alexander V Zakharov1, Vladimir A Bulanov2, Elena V Khivintseva1
1Department of Neurology and Neurosurgery, Samara State Medical University, Samara, Russia.
Frontiers in Robotics and AI
|January 27, 2021
Summary
This study shows that combining virtual reality (VR) and robotics significantly improves lower limb function after a stroke. This innovative rehabilitation method enhances motor recovery and balance in patients during the acute phase.
Area of Science:
- Neurorehabilitation
- Robotics in Medicine
- Virtual Reality Applications
Background:
- Stroke is a leading cause of long-term disability, particularly affecting lower limb function.
- Current rehabilitation methods in the acute phase have limitations in maximizing motor recovery.
- The integration of advanced technologies like VR and robotics offers potential for enhanced therapeutic outcomes.
Purpose of the Study:
- To evaluate the efficacy of a novel adjuvant therapy combining virtual reality (VR) and robotics for post-stroke lower limb motor restoration.
- To assess the impact of this VR-robotics intervention on mobility, motor function, and balance in acute stroke patients.
- To compare the outcomes of the experimental VR-robotics group with a control group receiving standard rehabilitation.
Main Methods:
- The study involved 62 patients in the acute phase post-stroke, divided into control (N=27) and experimental (N=35) groups.
- The experimental group received 10 daily 15-minute sessions of VR-robotics therapy with visual and tactile biofeedback.
- Standard rehabilitation was provided to the control group. Outcome measures included Rivermead Mobility Index, Fugl-Meyer Assessment Lower Extremities, and Berg Balance Scale.
Main Results:
- The experimental group showed significantly greater improvements compared to the control group in all assessed measures.
- Rivermead Mobility Index: 2.51 ± 0.31 vs. 1.56 ± 0.29 (p=0.0286).
- Fugl-Meyer Assessment Lower Extremities: 6.29 ± 1.20 vs. 2.15 ± 0.84 (p=0.0127).
- Berg Balance Scale: 13.49 ± 2.26 vs. 6.19 ± 1.36 (p=0.0163).
Conclusions:
- The combination of VR and robotics, utilizing implicit interaction and sensory feedback, significantly enhances lower limb motor function recovery post-stroke.
- This method is simple, intuitive, safe, and suitable for early-stage stroke rehabilitation, even in patients with diaschisis and aphasia.
- The VR-robotics approach demonstrates superior efficacy compared to standard rehabilitation therapy in restoring motor function.

