[Strategies of data reduction in computer-assisted EEG analysis in the time domain--measurement of theoretical aspects and redundancy relations within and between various strategies of data reduction].

The enormous amount of data after performing computer assisted EEG-analysis makes necessary reduction methods. Different strategies have been proposed. Traditionally the distribution of frequencies is shown by using frequency bands. The aim of this paper is to compare different strategies of data reduction regarding frequency distribution and to discuss results concerning validity. Three data reduction methods and their mutual relations will be discussed. The classification with regard to frequency bands, the computation of quartils of the frequency spectrum and the search for prominent frequencies. It will be shown wether or not calculated values are redundant and reflect identical information (latent dimensions).