POSSIBILITIES OF CLASSIFICATION OF TOPOGRAPHICALLY DISTRIBUTED NEUROPHYSIOLOGICAL MULTICHANNEL DATA

Progress in quantifying states of cerebral function and in the further development of automated EEG processing demands the application of su itable methods for the reduction of neurophysiological multi-channel d ata as well as their automatic classification. The method used here fo r reducing multi-channel data was to gain distributions of parametric descriptors from EEG data from computer-aided topographic electroencep halometry (CATEEM(R)), for example the relative and absolute band powe r in the frequency bands delta, theta, alpha 1, alpha 2, beta 1, beta 2, total power, median and mode frequency, and other parameters. These values were subjected to cluster analysis. The classification of EEG parameters was carried out by means of discrimination analysis and neu ral networks. The practicability of both procedures was demonstrated i n the reduction and classification of EEG data in the context of a nor med study involving 104 healthy adults. These data have been used as t he basis for a new evaluation study of 60 additional intraoperative EE G recordings obtained with CATEEM(R). In that newly started study, the effects of sedative and anaesthetic drugs on EEG behavior and psychop hysiologic behavior remain to be investigated.