Multifrequency Analysis of Brain-Computer Interfaces

Modern brain computer interfaces (BCI) rely on an extensive use of machine learning and signal processing techniques. This review will focus on an important prerequisite, namely spectral preprocessing. In particular, the optimal usage of multiple frequency features for BCI is discussed in general along with the commonly employed tricks for frequency choice. This is linked to the underlying physiology. Finally, applications of the multifrequency framework are given: (a) to BCI in general and (b) for analysing the BCI illiterates phenomenon.

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