Kristína Mezeiová

Learn More
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)
  • 1