ArticlePhysical and engineering sciences in medicine2026
Biotechnical rehabilitation system with virtual reality and feedback for motor recovery.
Article in Physical and engineering sciences in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
9 authors.
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Abstract
This study presents a biotechnical rehabilitation system for improving motor recovery in post-stroke patients with lower extremity paresis. The system integrates virtual reality (VR)-based therapy, real-time muscle fatigue monitoring, and adaptive rehabilitation control to provide personalized treatment. A VR adaptation module modifies rehabilitation content based on patient-specific electrophysiological responses, while biofeedback-based control optimizes neuromuscular engagement. A mathematical model was used to predict rehabilitation outcomes and guide therapy progression. Forty post-stroke patients (aged 30-65 years) participated in an experimental study. Patients were assigned to either an experimental group receiving personalized, adaptive VR therapy or a control group receiving standard VR content. Motor function was assessed using the Lower Extremity Functional Scale (LEFS), Functional Gait Scale (FGS), 10-m walk test (10mWT), and 6-min walk test (6minWT). The experimental group showed statistically significant improvements, including an 11% increase in LEFS scores (p < 0.05) and a 10% improvement in functional mobility. These findings indicate that adaptive VR-based rehabilitation combined with real-time muscle fatigue monitoring enhances motor recovery, balance, and functional mobility in post-stroke patients.
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