Xinxin Shu
Papers
1
Total Citations
29
H-Index
1
About
Xinxin Shu is a leading researcher in neurorehabilitation and biomechanics, with a primary focus on advancing gait analysis and robotic-assisted therapies for stroke recovery. Her most cited work, a 2023 randomized controlled trial, integrates three-dimensional gait analysis and surface electromyography (sEMG) to evaluate robotic-assisted gait training (RAGT) in subacute stroke patients. This study, garnering 29 citations, addresses critical limitations of traditional observational gait assessments by providing objective, quantitative measures of motor recovery. Shu’s contributions bridge engineering and clinical practice, demonstrating how precise biomechanical data can optimize rehabilitation protocols and improve patient outcomes. Her research highlights the potential of RAGT to enhance neural plasticity and functional mobility, offering evidence-based insights for personalized therapy. By combining advanced motion capture with physiological signals, Shu has established a framework for more accurate, data-driven rehabilitation, influencing both clinical guidelines and future device design. Her work is essential reading for students and researchers in rehabilitation engineering, neurology, and human movement science, showcasing how interdisciplinary approaches can transform post-stroke care.
Research Focus
Key Achievements
Top Papers
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