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In this paper two methods for compressed sensing of EEG signal in connection to the P300 Evoked Potentials spelling paradigm are proposed. The results are discussed from the reconstruction error point of view and from the classification rates of the spelling paradigm.
In this paper we propose and discuss a new classification method of motor imagery tasks based on patterns and Euclidean distance. The proposed method is simple, fast, but considerably sensitive with respect to the selected features/frequencies for classification. Choosing a predefined number of features leads to results similar to GTEC/BCI2000 while an optimal selection gives improved results but...
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