Method for determining a classifier for determining states based on electroencephalography data

摘要

A method (300) for determining a state classifier is described. The method (300) includes determining (304) a plurality of training records. The method (300) further comprises determining (305, 306), based on the plurality of training data sets, weighting values for individual originating features, wherein a weighting value for an originating feature comprises a relevance of this originating characteristic for the status Classifier, and where the weighting values are determined by reducing or increasing an optimization function. The optimization function includes a first elimination term that rewards it if all the source features of a particular channel (405) of a plurality of different channels (405) of an electroencephalograph (105) are irrelevant to the state classifier. Furthermore, the optimization function includes a second elimination term that rewards it when a single origin feature is irrelevant to the state classifier. It is thus possible on the basis of the weighting values to select a relevant subset of the plurality of origin features for the state classifier.