Feixiang Zeng
Papers
1
Total Citations
36
H-Index
1
About
Feixiang Zeng is a leading researcher at the intersection of neuroscience and rehabilitation engineering, with a primary focus on brain-computer interfaces (BCIs) and their application in post-stroke motor recovery. His most impactful work, a 2022 meta-analysis and systematic review titled "The clinical effects of brain–computer interface with robot on upper-limb function for post-stroke rehabilitation," has garnered 36 citations, establishing him as a key voice in evidence-based neurorehabilitation. In this seminal study, Zeng rigorously evaluated the clinical efficacy of combining BCIs with robotic systems, demonstrating that this integrated approach can significantly enhance neurological recovery and upper-limb motor function in stroke survivors. By synthesizing data from multiple clinical trials, he provided compelling evidence that BCI-robot systems offer a promising, data-driven pathway for restoring movement in patients with severe motor impairments. His work not only advances the theoretical understanding of neuroplasticity but also directly informs clinical practice, offering a clear roadmap for developing more effective, patient-centered rehabilitation technologies. Zeng’s contributions are vital for researchers and clinicians seeking to translate cutting-edge neural interfaces into tangible, life-changing therapies.
Research Focus
Key Achievements
Top Papers
- 1