Haochong Wang
Papers
2
Total Citations
8
H-Index
2
About
Haochong Wang is a leading researcher in rehabilitation robotics and neural engineering, with a focus on integrating brain-computer interfaces (BCI) and adaptive control systems to restore motor function in individuals with neurological impairments. His work bridges the gap between voluntary neural signals and robotic assistance, particularly for stroke survivors and children with cerebral palsy. Wang’s major contributions include the development of a fuzzy-adaptive impedance control method for upper limb rehabilitation robots, which uses surface electromyography (sEMG) to estimate muscle activation and adjust robotic assistance in real time—a pioneering approach that actively incorporates patients’ residual motor function. More recently, his 2025 study on children with cerebral palsy demonstrated how motor imagery-based BCI (MI-BCI) can enhance cortical excitability during lower limb robot training, using EEG microstate and functional connectivity analyses to reveal distinct brain activity patterns. Though his most-cited papers each hold 4 citations, their impact is growing rapidly within the neurorehabilitation community. Wang’s work is notable for its translational potential, offering a theoretical foundation for non-invasive, personalized rehabilitation protocols that could transform clinical practice for pediatric and adult populations alike.
Research Focus
Key Achievements
Top Papers
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- 2