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On the use of clustering and local singular spectrum analysis to remove ocular artefacts from electroencephalograms

Texeira, A. R. ; Tomé, A. M. ; Lang, Elmar ; Gruber, P. ; Martins da Silva, A.



Abstract

In this work we present a method based on singular spectrum analysis to remove ocular artifacts (EOG) from an Electroencephalogram (EEG). After embedding the EEG signals in a feature space of time-delayed coordinates, the data are clustered and the principal components (PCs) of each cluster are computed. We assume that the EOG artifact is associated with the PCs belonging to largest ...

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