Nonlinear time series analysis
Nonlinear time series analysis
Discrimination ability of individual measures used in sleep stages classification
Artificial Intelligence in Medicine
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The paper relates to possible connection between spectrum power-law decay and correlation dimension estimation for electroencephalogram (EEG). EEG signals recorded during relaxed wakefulness were analysed. Power-law decay of about 2.28 prevailing over the exponential falling off was established when exponent from the whole EEG spectrum was taken. The correlation dimension was also estimated. The two measures proved to be highly correlated. Concurrent experimental applications of spectral decay and correlation dimension confirm comparability of their discriminative powers. However, estimating the spectral decay is clearly more effective than the data demanding and disputable computation of correlation dimension.