Xudong Gu
Papers
7
Total Citations
68
H-Index
4
About
Xudong Gu is a pioneering researcher in the field of neurorehabilitation robotics, with a primary focus on developing intelligent, brain-computer interface (BCI)-driven robotic systems for post-stroke and post-surgical recovery. His key research areas include lower-limb rehabilitation robotics, error-related potential (ErrP) detection, and assist-as-needed robotic therapy. Gu’s most significant contribution is the integration of electroencephalography (EEG)-based neural signals—specifically error-related negativity—into the control loop of rehabilitation robots, allowing systems to adapt in real-time to a patient’s cognitive state. This "brain-in-the-loop" approach, detailed in his 2022 proof-of-concept study, represents a paradigm shift from fixed, repetitive therapy to personalized, responsive training. His foundational work, including a pilot study on lower-limb robot-assisted gait rehabilitation after total knee replacement (35 citations), has demonstrated measurable improvements in motor function for hemiplegic stroke patients. More recently, his 2024 study on a dual upper-limb task-oriented robotic system highlights his ongoing commitment to bilateral training strategies. With over 68 cumulative citations and a growing portfolio of clinical trials, Gu is establishing himself as a key innovator at the intersection of robotics, neuroscience, and rehabilitation medicine.
Research Focus
Key Achievements
Top Papers
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- 6Robot-assisted lower limb rehabilitation of hemiplegia2 citations · 2013
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