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Publication
Clustering evoked potential signals using subspace methods
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Advisor(s)
Abstract(s)
This work proposes a clustering technique to
analyze evoked potential signals. The proposed method uses an
orthogonal subspace model to enhance the single-trial signals
of a session and simultaneously a subspace measure to group
the trials into clusters. The ensemble averages of the signals
of the different clusters are compared with ensemble averages
of visually selected trials which are free of any artifact. Preliminary results consider recordings from an occipital channel
where evoked response P100 wave is most pronounced.