Chenguang Zhao
Papers
2
Total Citations
88
H-Index
2
About
Chenguang Zhao is a leading researcher in neurorehabilitation engineering, whose work sits at the intersection of brain-computer interfaces (BCIs), robotics, and stroke recovery. His primary research focus is developing intelligent, attention-driven rehabilitation systems that actively engage patients in their own motor recovery. Zhao’s major contributions include demonstrating, through a randomized controlled trial, that training with a BCI-controlled robot significantly improves functional outcomes in subacute stroke patients—a landmark study that has garnered 44 citations for its rigorous clinical evidence. He also pioneered a low-cost, attention-controlled wrist rehabilitation method using a single EEG sensor, making active, neurofeedback-based therapy more accessible and affordable. This work, also with 44 citations, directly addresses the critical challenge of ensuring patient engagement during robot-assisted training. By proving that a patient’s own neural signals can drive robotic assistance, Zhao has advanced the field toward more personalized, effective, and scalable neurorehabilitation solutions. His research bridges the gap between cutting-edge BCI technology and practical clinical application, offering new hope for restoring motor function after neurological injury.
Research Focus
Key Achievements
Top Papers
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