Albrecht V, Palus M
Laboratory of Applied Mathematics and Bioengineering, Psychiatric Center Prague, CSFR.
Biol Cybern. 1991;66(1):71-8. doi: 10.1007/BF00196454.
The method of spectral dynamics is introduced to process slow changes in EEG. This method is based on evaluation of distance between EEG spectra. The typical application field is pharmaco-EEG after single dose drug administration, where distances between pre and post drug EEG spectra are computed. The distance between two spectra may be, however, defined in several different ways. The paper deals with the well known Lp metrics and with the metrics alpha that plays an important role in discriminating stationary processes with different spectra. The Lp and alpha metrics are non-equivalent and their properties, consistency and robustness, are studied in a simple statistical model.
引入光谱动力学方法来处理脑电图(EEG)中的缓慢变化。该方法基于对EEG频谱之间距离的评估。典型的应用领域是单次给药后的药物脑电图,其中计算给药前后EEG频谱之间的距离。然而,两个频谱之间的距离可以用几种不同的方式定义。本文讨论了著名的Lp度量以及在区分具有不同频谱的平稳过程中起重要作用的α度量。Lp和α度量是非等价的,并且在一个简单的统计模型中研究了它们的性质、一致性和稳健性。