Wu

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About

Wu’s research lies at the intersection of rehabilitation engineering and neurorehabilitation, with a primary focus on robot-assisted gait training for stroke survivors. In their seminal 2013 review, "Robot-Assisted Gait Rehabilitation after Stroke," Wu synthesized emerging evidence on how robotic exoskeletons and end-effector devices can restore walking function in post-stroke patients. This work, cited over 4,000 times, critically evaluated the biomechanical and neuroplastic mechanisms underlying robotic therapy, highlighting key parameters such as gait speed, symmetry, and muscle activation patterns. Wu’s contributions have helped shape clinical protocols and device design, bridging the gap between engineering innovation and patient-centered outcomes. Their review remains a foundational reference for researchers developing adaptive control algorithms and sensorimotor feedback systems. Beyond this landmark paper, Wu has advanced the field by integrating wearable sensors and virtual reality into rehabilitation platforms, demonstrating improved patient engagement and motor recovery. With a citation impact that underscores their influence, Wu continues to drive evidence-based practice in neurorehabilitation, inspiring a new generation of engineers and clinicians to explore technology-assisted recovery.