Koles Z J
Department of Applied Sciences in Medicine, University of Alberta, Edmonton, Canada.
Electroencephalogr Clin Neurophysiol. 1991 Dec;79(6):440-7. doi: 10.1016/0013-4694(91)90163-x.
A method is described which seems to be effective for extracting the abnormal components from the clinical EEG. The approach involves the use of a set a spatial patterns which are common to recorded and 'normal' EEGs and which can account for maximally different proportions of the combined variances in both EEGs. These spatial factors are used to decompose the EEG into orthogonal temporal wave forms which can be judged by the expert electroencephalographer to be abnormal, normal or of artifactual origin. The original EEG is then reconstructed using only the abnormal components and principal component analysis is used to present the spatial topography of the abnormal components. The effectiveness of the method is discussed along with its value for localization of abnormal sources. It is suggested, in conclusion, that the approach described may be optimal for interpretation of the clinical EEG since it allows what is best in terms of quantitative analysis of the EEG to be combined with the best that is available in terms of expert qualitative analysis.
本文描述了一种似乎能有效从临床脑电图中提取异常成分的方法。该方法涉及使用一组空间模式，这些模式在记录的“正常”脑电图中很常见，并且可以解释两种脑电图组合方差中最大不同比例的方差。这些空间因素用于将脑电图分解为正交的时间波形，脑电图专家可以判断这些波形是异常、正常还是人为产生的。然后仅使用异常成分重建原始脑电图，并使用主成分分析来呈现异常成分的空间地形图。讨论了该方法的有效性及其对异常源定位的价值。最后建议，所描述的方法可能是解释临床脑电图的最佳方法，因为它允许将脑电图定量分析的最佳部分与专家定性分析的最佳部分相结合。
