A Hybrid Asynchronous Brain-Computer Interface Combining SSVEP and EOG Signals for Rapid Target Recognition
Ximing Mai(Shanghai Jiao Tong University), Xiangyang Zhu(Anhui Jianzhu University), Yidan Ding(Carnegie Mellon University), Xinjun Sheng(Shanghai Jiao Tong University), Xiaokang Shu(Shanghai Jiao Tong University), Jianjun Meng(Shanghai Jiao Tong University)
Cited by 2
Related Papers
Bio-robotics research for non-invasive myoelectric neural interfaces for upper-limb prosthetic control: a 10-year perspective review
|National Science Review|2023|90
Discriminative Analysis of Brain Functional Connectivity Patterns for Mental Fatigue Classification
|Annals of Biomedical Engineering|2014|64
EEG-based brain-computer interface enables real-time robotic hand control at individual finger level
|Nature Communications|2025|46
Extracting Individual Muscle Drive and Activity From High-Density Surface Electromyography Signals Based on the Center of Gravity of Motor Unit
|IEEE Transactions on Biomedical Engineering|2023|20
Integrating Simultaneous Motor Imagery and Spatial Attention for EEG-BCI Control
|IEEE Transactions on Biomedical Engineering|2023|17