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[用于觉醒依赖型脑电图模式分类的方差分析和判别分析]

[Variance and discriminatory analyses for the classification of wakefulness-dependent EEG patterns].

作者信息

Otto E, Bräuer D, Wilhelm M

出版信息

Acta Biol Med Ger. 1975;34(9):1471-83.

PMID:1221735
Abstract
  1. To describe 8 alertness-dependent EEG activity patterns to be observed during wakefulness with eyes closed, mean values and standard deviations of the frequencies 4, ..., 13, 14 to 17, 18 to 22 and 23 to 40 c/sec, of the percentage activity in the theta, alpha and beta bands as well as of the theta and alpha amplitudes were calculated. 2. On the basis of 18 variables significant differences between 7 activity patterns were ascertained by means of univariate and multivariate analyses of variance. 3. In the course of stepwise reduction of variables within the framework of a linear discriminatory analysis, an optimal set of variables was determined for the separation of the patterns comprising the following variables: mean value and standard deviation of the alpha amplitudes and mean value of the theta amplitudes as well as the percent quantity of the frequencies 3, ..., 7, 10, 14 to 17 and 23 to 40 c/sec. 4. By means of a linear regression analysis it was shown that the EEG scoring system can be reflected on an interval scale. In connection with results on the reliability of the methods used the results were discussed.
摘要
  1. 为描述在闭眼清醒状态下观察到的8种与警觉性相关的脑电图(EEG)活动模式,计算了频率4至13、14至17、18至22以及23至40赫兹的平均值和标准差,θ波、α波和β波频段的活动百分比以及θ波和α波的振幅。2. 基于18个变量,通过单变量和多变量方差分析确定了7种活动模式之间的显著差异。3. 在线性判别分析框架内逐步减少变量的过程中,确定了一组最佳变量,用于区分包含以下变量的模式:α波振幅的平均值和标准差、θ波振幅的平均值以及频率3至7、10、14至17和23至40赫兹的百分比量。4. 通过线性回归分析表明,EEG评分系统可以在区间量表上得到反映。结合所用方法的可靠性结果对结果进行了讨论。

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引用本文的文献

1
The structure of vigilance.警觉的结构。
Arch Psychiatr Nervenkr (1970). 1978 Jul 6;225(3):201-7. doi: 10.1007/BF00344007.