A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

This paper provides a comprehensive overview of the modern classification algorithms used in EEG-based BCIs, presents the principles of these methods and guidelines on when and how to use them, and identifies a number of challenges to further advance EEG classification in BCI.