OBJECTIVE The objective of this study is to find the best set of characteristics of polysomnographic signals for the automatic classification of sleep stages. METHODS A selection was made from 74 measures, including linear spectral measures, interdependency measures, and nonlinear measures of complexity that were computed for the all-night… (More)
OBJECTIVE Potential differences between coherence and phase synchronization analyses of human sleep electroencephalogram (EEG) are assessed and occurrences of phase vs. complete synchronization between EEG signals from different locations during different sleep stages are investigated. METHODS Linear spectral coherence, mean phase coherence (MPC) z-score… (More)
If data are generated by a d-dimensional system, but only one observable is known, Takens' theorem guarantees that reconstruction diffeomorphic to the original dynamics can be build from the single time series in (2d+1)-dimensional phase space. However, some recent results show that, under certain conditions reconstruction in lower dimension is possible,… (More)
UMÁKOVÁ, Kristína-KRAKOVSKÁ, Anna. Discrimination ability of individual measures used in sleep stages classication. dimension changes in wake and drowsy states in humans-a preliminary study.