The analytic common spatial patterns method for EEG-based BCI data.

@article{Falzon2012TheAC,
  title={The analytic common spatial patterns method for EEG-based BCI data.},
  author={Owen Falzon and Kenneth P. Camilleri and Joseph Muscat},
  journal={Journal of neural engineering},
  year={2012},
  volume={9 4},
  pages={045009}
}
One of the most important stages in a brain-computer interface (BCI) system is that of extracting features that can reliably discriminate data recorded during different user states. A popular technique used for feature extraction in BCIs is the common spatial patterns (CSP) method, which provides a set of spatial filters that optimally discriminate between two classes of data in the least-squares sense. The method also yields a set of spatial patterns that are associated with the most relevant… CONTINUE READING
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