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

  • R. Damasevicius Kaunas University of Technology
  • I. Martisius Kaunas University of Technology
  • V. Jusas Kaunas University of Technology
  • D. Birvinskas Kaunas University of Technology
Keywords: Adaptive classification, delay time embedding, phase space, landmark signal, EEG, BCI

Abstract

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.

DOI: http://dx.doi.org/10.5755/j01.eee.20.8.8441

Published
2014-10-10
Section
SIGNAL TECHNOLOGY