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About

Yunong Xie is a leading researcher in neurorehabilitation engineering, specializing in electromyography (EMG)-driven robotic systems for post-stroke upper-limb recovery. His major contributions center on developing and validating EMG-driven neuromuscular electrical stimulation (NMES) robotic hands that restore hand dexterity in chronic stroke survivors. In a pivotal 2017 study (59 citations), Xie demonstrated that combining EMG-triggered NMES with robotic assistance significantly improves motor function compared to passive robotic training. He further advanced the field through a landmark randomized controlled trial (2019, 44 citations) comparing EMG-driven NMES robotic hand training to pure robotic hand training, establishing the superiority of integrated neural stimulation approaches. His data-driven investigation (2021, 28 citations) pioneered the use of surface EMG patterns as objective clinical assessment tools, reducing reliance on subjective manual evaluations. With cumulative citations exceeding 130, Xie’s work bridges neural signal processing, rehabilitation robotics, and clinical practice. His research has direct implications for designing personalized, closed-loop rehabilitation systems that adapt to individual patient needs, making him a key figure in translating neuroengineering innovations into tangible recovery outcomes for stroke survivors.