Fractional Delay Time Embedding of EEG Signals into High Dimensional Phase Space

R. Damasevicius, I. Martisius, V. Jusas, D. Birvinskas


We propose a method for reconstruction of the high-dimensional phase space of the electroencephalography (EEG) signal. The method is based on the selection of positive trajectories from the phase space, distance-adaptive sampling of the negative trajectories from the phase space, classification of trajectories in the phase space, and reconstruction of a fuzzy state of the signal for classification of EEG signals.



Adaptive classification; delay time embedding; phase space; landmark signal; EEG; BCI

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Print ISSN: 1392-1215
Online ISSN: 2029-5731