Shuaifei Huang
Papers
9
Total Citations
74
H-Index
5
About
Shuaifei Huang is pioneering the frontier of human motor augmentation, exploring how the brain can learn to control supernumerary robotic fingers—extra digits that extend natural human capability. His research integrates brain-computer interfaces (BCI), motor imagery (MI), and neuroplasticity, with a focus on the unique neural patterns elicited when imagining and controlling a “sixth finger.” Huang’s key contributions include demonstrating that sixth-finger motor imagery produces distinct EEG event-related desynchronization (ERD) patterns and superior classification performance compared to traditional limb imagery, laying the groundwork for intuitive BCI control of robotic appendages. His longitudinal fMRI studies reveal functional reorganization in frontal-parietal and motor networks after just four weeks of BCI-guided supernumerary finger training, showing enhanced brain functional connectivity and generalization of motor learning. With his most-cited paper (27 citations) establishing the EEG characteristics of sixth-finger MI and optimal channel selection, and subsequent work tracking neuroplasticity via resting-state fMRI and modular wearable designs, Huang’s research has garnered over 70 citations. His work not only advances body augmentation technology but also informs rehabilitation strategies, offering a compelling vision of how the human brain can adapt to and master entirely new limbs.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8EEG Characteristic Investigation of the Sixth-Finger Motor Imagery2 citations · 2021
- 9