Detrended fluctuation analysis of EEG in sleep apnea using MIT/BIH polysomnography data

被引：106

作者：

Lee, JM

Kim, DJ

Kim, IY

Park, KS

Kim, SI ^{[1
]}

机构：

[1] Hanyang Univ, Coll Med, Dept Biomed Engn, Seongdong Ku, Seoul 133791, South Korea

[2] Seoul Natl Univ, Coll Med, Dept Biomed Engn, Seoul, South Korea

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2002年 / 32卷 / 01期

关键词：

detrended-fluctuation-analysis (DFA); long-range correlation; electroencephalogram (EEG); scaling exponents; non-linear dynamics;

D O I：

10.1016/S0010-4825(01)00031-2

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

A 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. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：37 / 47

页数：11

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