[Automatic evaluation of ERA based on stochastic-ergodic conversion (SEC) (author's transl)].

Averaging of stimulus-locked EEG-samples often leads to unreliable results in patients for which ERA is indispensable for diagnostics, namely in the case of uncooperative children with hearing disorders. SEC converts the EEG into a binary random sequence which after averaging results directly in a probability measure for the response. Clinical experiences with an automatic evaluation procedure based on SEC are reported.