Changwu Chen
Papers
1
Total Citations
157
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1
About
Changwu Chen is a leading figure in neurorehabilitation engineering, with a research focus on brain-computer interfaces (BCIs), transcranial electrical stimulation, and robotic-assisted therapy for stroke recovery. His most-cited work, a 2015 study on the "Facilitating Effects of Transcranial Direct Current Stimulation on Motor Imagery Brain-Computer Interface With Robotic Feedback for Stroke Rehabilitation," has garnered 157 citations and demonstrates his pioneering integration of non-invasive brain stimulation with BCI technology. Chen’s major contribution lies in developing hybrid systems that combine motor imagery-based BCIs with robotic feedback and tDCS to enhance neuroplasticity and motor recovery in stroke patients. His research has shown that this multimodal approach can significantly improve BCI performance and rehabilitation outcomes, offering new hope for individuals with severe motor impairments. By systematically investigating how cortical excitability modulation interacts with BCI training, Chen has advanced both the scientific understanding of neural plasticity and the practical design of closed-loop rehabilitation systems. His work is widely cited in clinical neuroengineering and rehabilitation robotics, reflecting its impact on translating laboratory findings into therapeutic applications.
Research Focus
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Top Papers
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