title: [Automatic evaluation of ERA based on stochastic-ergodic conversion (SEC) (author's transl)].
abstract: 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.
mesh_terms: D000328:Adult; D000703:Analog-Digital Conversion; D001299:Audiometry / Q000295:instrumentation / Q000379:methods*; D002540:Cerebral Cortex / Q000503:physiopathology*; D002675:Child, Preschool; D003638:Deafness / Q000175:diagnosis*; D004569:Electroencephalography / Q000295:instrumentation / Q000379:methods; D005071:Evoked Potentials; D006801:Humans
vernacular_title: Ein neues Verfahren zur automatischen Auswertung der ERA mit Hilfe der stochastisch-ergodischen Konversion (SEC)