Xiaoying Su
Papers
1
Total Citations
16
H-Index
1
About
Xiaoying Su is a researcher whose work lies at the intersection of brain-computer interfaces (BCI) and assistive technology. Her key research areas include electroencephalography (EEG) and electrooculography (EOG) signal processing, intelligent prosthesis control, and hybrid BCI system design. Su’s most notable contribution is her pioneering work on a hybrid EEG-EOG system for intelligent prosthesis control, published in 2016. This study, which has garnered 16 citations, introduced a novel approach that combines EEG signals from motor imagery with EOG signals to enable multi-command control of prosthetic devices. By leveraging the common spatial pattern algorithm, Su demonstrated how two distinct imaginary tasks could be decoded to produce reliable control commands, supported by detailed time-frequency spectrum and brain topographic mapping analyses. Her work addresses a critical challenge in BCI—achieving robust, intuitive control with limited neural signals—and has implications for improving the quality of life for individuals with motor impairments. Su’s research continues to influence the development of more practical and responsive neural prosthetics, bridging the gap between laboratory innovation and real-world application.
Research Focus
Key Achievements
Top Papers
- 1