1. A method for evaluating an anesthesia EEG or intensive-care EEG, in which parameters from the time and/or frequency domain are established from the EEG curves by inserting the established parameters into multivariate classification functions and as a result stages of the anesthesia EEG or intensive-care EEG being classified automatically, characterized in that the curve profiles containing characteristic anesthesia EEG or intensive-care EEG curves are analyzed in respect of scattering-in signal components of the bulk of bio-signals of non-anesthesia EEG or non-intensive-care EEG characteristic curves and artifacts and in that, if such scattering-in signal components are detected, the existence of bio-signals of non-anesthesia EEG or non-intensive-care EEG characteristic curves is verified by means of artifact analysis if artifacts are excluded, and said existence is not verified if artifacts are detected.