Xiaolong Sun
Papers
1
Total Citations
44
H-Index
1
About
Xiaolong Sun is a leading researcher in neurorehabilitation, with a primary focus on brain-computer interfaces (BCIs) and their application in stroke recovery. His most-cited work, a 2022 randomized controlled trial, demonstrates the transformative potential of BCI-controlled robots for subacute stroke patients, showing significant improvements in functional outcomes. This study, which has garnered 44 citations, provides critical evidence that BCI-based training can enhance neuroplasticity and motor recovery beyond conventional therapies. Sun’s contributions lie at the intersection of neural engineering and clinical rehabilitation, where he designs closed-loop systems that translate brain signals into precise robotic movements. His research addresses a pressing challenge in stroke care—the slow and often incomplete recovery process—by offering a more direct, brain-driven pathway to regain motor function. Through rigorous clinical trials, Sun has helped validate BCI technology as a viable therapeutic tool, influencing both rehabilitation protocols and the development of next-generation assistive devices. His work continues to shape how researchers and clinicians approach post-stroke recovery, bridging the gap between neural decoding and real-world patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1