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
收藏
页码：37 / 47
页数：11
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