A review of classification algorithms for EEG-based brain–computer interfaces

This paper compares classification algorithms used to design brain–computer interface (BCI) systems based on electroencephalography (EEG) in terms of performance and provides guidelines to choose the suitable classification algorithm(s) for a specific BCI.