Аннотация
Stroke is a leading cause of long-term disability worldwide, frequently resulting in persistent motor deficits, particularly affecting upper limb function and fine motor skills. Traditional rehabilitation methods such as physical and occupational therapy have limitations in intensity, adaptability, and accessibility. In recent years, innovative technologies including robotic devices, virtual reality (VR), and mirror therapy have shown promise in enhancing neuroplasticity and functional recovery. Objective. This review aims to analyze the effectiveness of modern rehabilitation approaches for restoring motor function in post-stroke patients. Materials and Methods. A systematic literature review was conducted in accordance with PRISMA guidelines. Databases searched included PubMed, Cochrane Library, Embase, ERIC, Scopus, and Web of Science. Studies published between 2015 and 2025 were included, focusing on randomized controlled trials, systematic reviews, and meta-analyses involving motor rehabilitation post-stroke. Results. Robotic-assisted devices (e.g., ReHand glove) demonstrated significant improvements in motor function, grip strength, and performance. Mirror therapy was found to be an effective, low-cost intervention for enhancing hand and lower limb function, especially when combined with task-specific training and neuromodulation techniques. VR-based therapy improved patient engagement, coordination, and ADL performance, particularly when integrated into conventional programs. Discussion. While no single method ensures full recovery, a combination of traditional and modern strategies yields the best outcomes. Robotic systems are highly effective but limited by cost and availability. VR and mirror therapy are scalable solutions that enhance motivation and neuroplasticity. Conclusion. Fine motor recovery after stroke is achievable through multimodal rehabilitation programs that integrate advanced technologies with conventional care. Future research should focus on long-term outcomes, cost-effectiveness, and the development of patient-centered protocols. The strategic use of robotic, virtual, and visual-feedback-based methods holds great potential to transform neurorehabilitation into ntegrate advanced technologies with conventional care. Future research should focus on long-term outcomes, cost-effectiveness, and the development of patient-centered protocols. The strategic use of robotic, virtual, and visual-feedback-based methods holds great potential to transform neurorehabilitation into a more effective, accessible, and personalized field.