Shugeng Chen
Papers
1
Total Citations
29
H-Index
1
About
Shugeng Chen’s research lies at the intersection of neural engineering and neurorehabilitation, with a primary focus on brain-computer interfaces (BCIs) for motor recovery after stroke. His most cited work, a 2022 systematic review on sensorimotor rhythm (SMR)-based BCIs for hand and upper extremity rehabilitation, has garnered 29 citations, reflecting its timely synthesis of a rapidly evolving field. Chen’s major contribution is his critical analysis of how SMR—a brain oscillation rhythm captured and decoded by BCIs—can be harnessed to restore motor function in stroke survivors. By systematically evaluating prior studies, he identified both the promise and the gaps in existing BCI applications, particularly the need for more robust clinical trials and user-centered design. His review serves as a foundational resource for researchers and clinicians aiming to translate BCI technology from lab to clinic. Chen’s work underscores his commitment to advancing non-invasive, neuroplasticity-driven therapies, positioning him as a key voice in the push toward personalized, brain-based rehabilitation strategies.
Research Focus
Key Achievements
Top Papers
- 1