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[脑电图频谱数据的因子分析。在药物脑电图学中的应用模型(作者译)]

[Factor analysis of spectral EEG-data. Models of application in pharmaco-elektroencephalography (author's transl)].

作者信息

Bente D

出版信息

EEG EMG Z Elektroenzephalogr Elektromyogr Verwandte Geb. 1979 Dec;10(4):207-13.

PMID:119632
Abstract

The factor analysis of spectral EEG values is a data-reducing and also a structural analytical procedure. This procedure enables the numerous frequency variables obtained by spectral analysis to be replaced by a more clearly arranged system of independent complex spectral variables (spectral or frequency factors), while at the same time the interrelations which exist between the individual frequency variables are taken into consideration. The use of this information elucidates the substantial dimensions of spectral configurations, the relationship of the frequency components which constitute them and their factor scores under various conditions. We have used several application models obtained in the course of pharmacoencephalographical examinations which are based on the procedure of a not fully developed multi-model factor analysis; on the basis of these models we have shown how, in a problem-orientated application of the factor analysis, well interpretable information can be gained on the relevant dimensions of the pattern of the brain electric activity, their dynamics and their topical localisation.

摘要

脑电图谱值的因子分析是一种数据简化和结构分析程序。该程序能使通过谱分析获得的众多频率变量被一个更清晰排列的独立复谱变量(谱或频率因子)系统所取代,同时考虑到各个频率变量之间存在的相互关系。利用这些信息可阐明谱配置的实质维度、构成它们的频率成分之间的关系以及它们在各种条件下的因子得分。我们使用了在药物脑电图检查过程中获得的几个应用模型,这些模型基于未充分发展的多模型因子分析程序;基于这些模型,我们展示了在因子分析的问题导向应用中,如何能获得关于脑电活动模式的相关维度、其动态变化及其局部定位的易于解释的信息。

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