[Data display and reduction in computer-assisted EEG analysis in the time domain].

Analysis of EEG frequency spectra leads in two fields to problems demanding optimal data reduction methods: especially if topological aspects have to be considered, it is likely that the rather limited memory capacity of laboratory computer systems will be exceeded; furthermore severe methodological problems arise in statistical analysis of combined data sets, including frequency spectra, other physiological, and non-physiological data. Three data reduction methods are discussed: the classification with respect to frequency bands, the search for prominent frequencies, and the computation of quartiles of the frequency spectra. There is some evidence in favour of the method of prominent frequencies. This method seems to preserve much of the differential information of the frequency spectra.