Abstract: The invention relates to a method for automatically evaluating an absence EEG, wherein EEG curves are recorded by an evaluating device and are evaluated by means of a computer of the evaluating device, wherein in the evaluation at least the current stage of the absent state is determined from the EEG curves by means of the computer on the basis of a stage division of the absence EEG, wherein stages of the depth of the absent state are distinguished in the stage division, and wherein the current stage is output, wherein a certain scheme of the stage division is selected by the computer from a plurality of selectable schemes of stage divisions, which differ in the number of distinguishable stages of the absent state, and is used for the automatic performance of the stage division in order to determine the current stage. The invention further relates to a computer program for performing such a method and to an evaluating device for evaluating an absence EEG.

Abstract: The invention relates to a method for automatically evaluating an absence EEG, wherein EEG curves are recorded by an evaluating device and are evaluated by means of a computer of the evaluating device, wherein in the evaluation at least the current stage of the absent state is determined from the EEG curves by means of the computer on the basis of a stage division of the absence EEG, wherein stages of the depth of the absent state are distinguished in the stage division, and wherein the current stage is output, wherein a certain scheme of the stage division is selected by the computer from a plurality of selectable schemes of stage divisions, which differ in the number of distinguishable stages of the absent state, and is used for the automatic performance of the stage division in order to determine the current stage. The invention further relates to a computer program for performing such a method and to an evaluating device for evaluating an absence EEG.

Abstract: A computer implemented method and system is used for evaluating an intensive EEG or an EEG during anaesthesia. Time domain and/or frequency range parameters are determined from the EEG graphs. The determined parameters are used in multivariate classification functions and the intensive EEG or EEG during anaesthesia are automatically divided into stages. The EEG graphs are also analysed for interfering signal components from the quantity of biosignals of graphs characteristic of intensive EEGs or EEGs which are not performed during anaesthesia. If interfering signal components are identified, the existence of biosignals of graphs characteristic of intensive EEGs or EEGs which are not performed during anaesthesia is verified by artifact analysis in the absence of artifacts, and is not verified if artifacts are identified.

Abstract: The invention relates to a method and a device for evaluating an intensive EEG or an EEG during anaesthesia, according to which time domain and/or frequency range parameters are determined from the EEG graphs (112), the determined parameters being used in multivariate classification functions and the intensive EEG or EEG during anaesthesia being automatically divided into stages (116) as a result thereof. The EEG graphs are also analysed for interfering signal components from the quantity of biosignals of graphs characteristic of intensive EEGs or EEGs which are not performed during anaesthesia (114,118), and artifacts. If such interfering signal components are identified, the existence of biosignals of graphs characteristic of intensive EEGs or EEGs which are not performed during anaesthesia is verified by artifact analysis (120,122,126) in the absence of artifacts, and is not verified if artifacts are identified.

Abstract: A method of evaluating an EEG carried out in the context of anaesthesia or intensive care is disclosed. To this end, parameters from the time and/or frequency domains are determined from the EEG curves, the parameters determined are used in multivariate classification functions, and on this basis the EEG carried out in the context of anaesthesia or intensive care is automatically divided into stages.