• Jong Min Lee, Dae Jin Kim, In Young Kim, Kwang Suk Park, and Sun I Kim.
• Department of Biomedical Engineering, College of Medicine, Hanyang University Haengdang-dong, Seongdong-ku, 133-791, Seoul, South Korea.
• Comput. Biol. Med. 2002 Jan 1;32(1):37-47.

AbstractA number of natural time series including electroencephalogram (EEG) show highly non-stationary characteristics in their behavior. We analyzed the EEG in sleep apnea that typically exhibits non-stationarity and long-range correlations by calculating its scaling exponents. Scaling exponents of the EEG dynamics are obtained by analyzing its fluctuation with detrended fluctuation analysis (DFA), which is suitable for non-stationary time series. We found the mean scaling exponents of EEG is discriminated according to Non-REM, REM (Rapid Eye Movement) and waken stage, and gradually increased from stage 1 to stage 2, 3 and 4.

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