Time-frequency-space Kernel for Single Eeg-trial Classification

Abstract

In the framework of the research on Brain-Computer Interface systems, the classification of single EEG trials occupies a central place. In this paper we propose a technique of classification consisting on the analysis of EEG from a joint time-frequency and space point of view. 

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