Cross-Spectral Discriminant Analysis (CSDA) for the classification of Brain Computer Interfaces.

Abstract

Mining discriminant information through the spatial and frequency domains is a challenging problem in brain computer interfaces (BCI), especially when the experimental paradigm is not as well-known as motor imagery. We propose a new classification algorithm that extracts relevant oscillatory activities from ongoing electroencephalographic (EEG) signals… (More)

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@article{Besserve2007CrossSpectralDA, title={Cross-Spectral Discriminant Analysis (CSDA) for the classification of Brain Computer Interfaces.}, author={Michel Besserve and Line Garnero and Jacques Martinerie}, journal={2007 3rd International IEEE/EMBS Conference on Neural Engineering}, year={2007}, pages={375-378} }