A Stimulus-Independent Hybrid BCI Based on Motor Imagery and Somatosensory Attentional Orientation
Distinctive EEG signals from the motor and somatosensory cortex are generated during mental tasks of motor imagery (MI) and somatosensory attentional orientation (SAO). In this study, we hypothesize that a combination of these two signal modalities provides improvements in BCI performance with respect to using the two methods separately, and generate novel types of multi-class BCI systems.
Decoding Covert Somatosensory Attention by a BCI System Calibrated With Tactile Sensation
We propose a novel calibration strategy to facilitate the decoding of covert somatosensory attentional changes by exploring the oscillatory dynamics induced by actual tactile sensation. Offline analysis showed that the proposed calibration method led to higher accuracies than the traditional calibration method based only on somatosensory attentional orientation (SAO) data.