Papers
4
Total Citations
504
H-Index
4
About
Haihong Zhang is a pioneering researcher in neurorehabilitation, specializing in brain-computer interfaces (BCI) for stroke recovery. Her work focuses on developing non-invasive, EEG-based motor imagery BCI systems integrated with robotic feedback to restore motor function in hemiparetic patients. Zhang’s landmark 2010 clinical study, cited 234 times, demonstrated that stroke patients could effectively operate MI-BCI systems, achieving significant motor improvements in the upper limb through robotic-assisted neurorehabilitation. Her 2009 study (149 citations) further established MI-BCI’s superiority over standard robotic rehabilitation, while her 2011 work introduced an innovative 3D game platform that translates attention states into virtual hand control for cognitive training. Zhang’s feasibility studies (56 citations) validated the clinical application of combining BCI with MANUS robotic arms for post-stroke therapy. Her contributions have shaped the integration of neural interfaces with rehabilitation robotics, offering new pathways for motor recovery and attention training. With over 500 cumulative citations, Zhang’s research bridges neuroscience, engineering, and clinical practice, making her a key figure in advancing non-invasive BCI technologies for real-world therapeutic impact.
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