期刊
CLINICAL EEG AND NEUROSCIENCE
卷 36, 期 1, 页码 21-24出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/155005940503600106
关键词
electroencephalography; entropy, approximate; nonlinear analysis; sleep stage; system complexity
资金
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [K06GM013981] Funding Source: NIH RePORTER
- NIGMS NIH HHS [K06 GM013981] Funding Source: Medline
Entropy measurement can discriminate among complex systems, including deterministic, stochastic and composite systems. We evaluated the changes of approximate entropy (ApEn) in signals of the electroencephalogram (EEG) during sleep. EEG signals were recorded from eight healthy volunteers during nightly sleep. We estimated the values of ApEn in EEG signals in each sleep stage, The ApEn values for EEG signals (mean +/- SD) were 0.896 +/- 0.264 during eyes-closed waking state, 0.738 +/- 0.089 during Stage I, 0.615 +/- 0.107 during Stage II, 0.487 +/- 0.101 during Stage III, 0.397 +/- 0.078 during Stage IV and 0.789 +/- 0.182 during REM sleep. The ApEn values were found to differ with statistical significance among the six different stages of consciousness (ANOVA, p<0.001). ApEn of EEG was statistically significantly lower during Stage IV and higher during wake and REM sleep. We conclude that ApEn measurement can be useful to estimate sleep stages and the complexity in brain activity.
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