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About

Xinyu Guan’s research sits at the intersection of biomechanics and rehabilitation robotics, with a focus on improving human movement and recovery. Her work explores how external factors—like backpack loads during slope walking—affect leg muscle activation, providing critical insights for preventing musculoskeletal injuries in hikers and soldiers. She has also made significant contributions to stroke rehabilitation, developing quantitative methods to assess motor function using end-effector upper limb robots, making clinical assessment more accessible and integrated with therapy. Additionally, Guan has investigated how motor imagery tasks can enhance patient engagement during robot-assisted rehabilitation, aiming to boost recovery efficiency. Her most-cited paper, “Effects of Backpack Loads on Leg Muscle Activation during Slope Walking” (2020), has garnered 23 citations, reflecting its practical relevance. With 14 and 8 citations for her stroke assessment and engagement studies, respectively, Guan’s work is steadily gaining recognition for its translational impact—bridging biomechanical analysis and robotic therapy to address real-world challenges in human performance and neurorehabilitation.