[Multivariate analysis of beta activity in clinical material].

L Molinari, G Dumermuth
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Abstract

Beta activity, as described by a number of parameters extracted from the power spectra, was submitted to several multivariate statistical techniques in search of interpretable subgroups. The difficulties of doing this on heterogeneous clinical material, as well as various shortcomings of the usual cluster analytical techniques, are outlined. Where longitudinal data are available, the analysis of beta activity may help in monitoring the effects of the therapy. Generally, the large variability between individuals and many sources of errors related to the processes of data collection and parameter extraction indicate that much work remains to be done before even a rough and clinically relevant typology of beta activity will become available.

[临床材料β活性的多变量分析]。
从功率谱中提取的一些参数描述了β活性,并将其提交给几种多元统计技术以寻找可解释的子群。在异质临床材料上这样做的困难,以及通常的聚类分析技术的各种缺点,被概述。在有纵向数据的情况下,对β活性的分析可能有助于监测治疗效果。一般来说,个体之间的巨大差异以及与数据收集和参数提取过程相关的许多错误来源表明,在获得β活性的粗略和临床相关类型之前,仍有许多工作要做。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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