Approximate entropy in the electroencephalogram during wake and sleep
Approximate entropy in the electroencephalogram during wake and sleep
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DOI：
10.1177/155005940503600106
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发表时间：
2005-01-01
影响因子：
2
通讯作者：
Shimizu, E
中科院分区：
文献类型：
--
作者：
Burioka, N;Miyata, M;Shimizu, E
熵测量可以区分复杂系统，包括确定性系统、随机系统和复合系统。我们评估了睡眠期间脑电图（EEG）信号中近似熵（ApEn）的变化。记录了八名健康志愿者在夜间睡眠期间的脑电图信号。我们估计了每个睡眠阶段脑电图信号中的 ApEn 值，脑电图信号的 ApEn 值（平均值 +/- SD）在闭眼清醒状态下为 0.896 +/- 0.264，在第一阶段为 0.738 +/- 0.089，在第二阶段为 0.615 +/- 0.107，在第三阶段为 0.487 +/- 0.101，在第三阶段为 0.397 +/-第四阶段期间为 0.078， 快速眼动睡眠期间为 0.789 +/- 0.182。研究发现，六个不同意识阶段的 ApEn 值存在统计显着性差异（方差分析、p
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