Papers
8
Total Citations
167
H-Index
6
About
Dr. Guofeng Li is a leading researcher in rehabilitation robotics and human-machine interfaces, whose work focuses on restoring motor function for stroke survivors. His core contributions lie at the intersection of surface electromyography (sEMG), electroencephalography (EEG), and robotic control. Dr. Li pioneered a deep learning model for continuous estimation of upper limb joint angles from sEMG signals (55 citations), enabling more natural, human-safe control of rehabilitation exoskeletons. He is particularly recognized for his innovative detection of compensatory movement patterns—a critical barrier to effective therapy—using pressure sensors and sEMG, with his 2020 study on real-time compensation detection accumulating 39 citations. His work also extends to brain-machine interfaces, where he developed a practical EEG-based system for online control of assistive robots (29 citations). More recently, Dr. Li has advanced adaptive control strategies that correct for patient compensation during robotic therapy (2024). By addressing the dual challenges of fatigue-induced compensation and cooperative dual-arm training, his research directly improves clinical outcomes. With a growing body of work cited over 160 times, Dr. Li is shaping the future of intelligent, patient-responsive rehabilitation technology.
Research Focus
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Top Papers
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