Papers
1
Total Citations
37
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About
Xingyu Duan is a leading researcher in neurorehabilitation, with a primary focus on brain-machine interfaces (BMIs) for post-stroke motor recovery. His most-cited work, a 2022 meta-analysis of randomized controlled trials, systematically evaluated the efficacy of BMI-based training for improving upper extremity function after stroke. This seminal paper, garnering 37 citations, synthesized evidence that BMI systems—which extract neural signals and deliver real-time feedback—can significantly enhance motor outcomes by promoting neuroplasticity. Duan’s contributions lie in bridging engineering and clinical neuroscience, demonstrating how closed-loop BMI paradigms can translate brain activity into tangible rehabilitation gains. His research addresses a critical gap: the persistent disability caused by upper limb dysfunction, which severely impacts quality of life. By rigorously analyzing trial data, Duan provided a robust evidence base that has guided subsequent clinical protocols and device design. His work is notable for its methodological rigor and its potential to reshape stroke rehabilitation, offering hope for more effective, personalized therapies. With a growing citation impact, Duan continues to advance the field, positioning himself as a key figure in the integration of neural interfaces into practical, patient-centered recovery strategies.
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