Papers
1
Total Citations
36
H-Index
1
About
Hua Guo is a researcher whose work sits at the intersection of neurorehabilitation, brain imaging, and assistive robotics, with a particular focus on stroke recovery and cortical mechanisms of motor function. His most prominent contribution examines how upper limb intelligent feedback robot training influences cerebral cortex activation and functional connectivity in stroke patients — a clinically significant question given the widespread adoption of rehabilitation robotics without a clear mechanistic understanding. By employing functional near-infrared spectroscopy (fNIRS) to track oxygenated hemoglobin concentration changes, Guo's research provides neurophysiological evidence that robotic-assisted therapy meaningfully engages cortical networks, offering both a scientific rationale for its clinical use and a framework for optimizing future interventions. This work, published in 2023 and already accumulating 36 citations, signals growing recognition from the rehabilitation and neuroscience communities. Guo's research is particularly valuable for clinicians and biomedical engineers seeking evidence-based justifications for integrating intelligent robotic systems into post-stroke care, and it opens promising directions for personalized, brain-guided rehabilitation protocols.
Research Focus
Key Achievements
Top Papers
- 1