Kaifeng Guo
Papers
1
Total Citations
36
H-Index
1
About
Kaifeng Guo is a leading researcher in neurorehabilitation, with a primary focus on stroke recovery and the neural mechanisms underlying robotic therapy. His work bridges cutting-edge rehabilitation technology and neuroscience, particularly through the use of functional near-infrared spectroscopy (fNIRS) to investigate brain activation and connectivity. In his highly cited 2023 study, "Upper limb intelligent feedback robot training significantly activates the cerebral cortex and promotes the functional connectivity of the cerebral cortex in patients with stroke," Guo demonstrated that intelligent robotic training not only improves motor function but also enhances cortical activation and interhemispheric connectivity, offering critical insights into how robot-assisted therapy drives neural plasticity. This work, with 36 citations, has become a foundational reference for understanding the therapeutic mechanisms of upper limb robotics in stroke rehabilitation. Guo’s research is instrumental in advancing evidence-based neurorehabilitation, providing a scientific basis for integrating intelligent feedback robots into clinical practice. His contributions are shaping the future of personalized, technology-driven stroke therapy, making him a key figure in the field of rehabilitation neuroscience.
Research Focus
Key Achievements
Top Papers
- 1