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

Authors

  • R. Damasevicius Kaunas University of Technology
  • I. Martisius Kaunas University of Technology
  • V. Jusas Kaunas University of Technology
  • D. Birvinskas Kaunas University of Technology

DOI:

https://doi.org/10.5755/j01.eee.20.8.8441

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

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Published

2014-10-10

How to Cite

Damasevicius, R., Martisius, I., Jusas, V., & Birvinskas, D. (2014). Fractional Delay Time Embedding of EEG Signals into High Dimensional Phase Space. Elektronika Ir Elektrotechnika, 20(8), 55-58. https://doi.org/10.5755/j01.eee.20.8.8441

Issue

Section

SIGNAL TECHNOLOGY