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.