Spatial Filtering
Spatial filters are techniques used to enhance the signal-to-noise ratio (SNR) of EEG data by combining signals from multiple electrodes. These filters are particularly useful in BCI applications to improve the discriminability of brain activity patterns.
- For more details on spatial filtering, refer to:
Blankertz, B., et al. (2008). The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User-Specific Brain States. Journal of Neural Engineering.
Zanini, P., et al. (2018). Euclidean Alignment for Brain-Computer Interfaces: A Comparative Study. IEEE Transactions on Neural Systems and Rehabilitation Engineering.