出版社：Faculty of Humanities, Kaunas University of Technology
其他摘要：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
关键词：Adaptive classification;delay time embedding;phase space;landmark signal;EEG;BCI
