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The blood-brain barrier plays a decisive role in protecting the brain fromtoxins and pathogens. The ability to analyze the BBB opening (OBBB) is crucialfor the treatment of many brain diseases, but it is very difficult tononinvasively monitor OBBB. In this paper we analyse the EEG series of healthyrats in free behaviour and after music-induced OBBB. The research is performedusing two completely different methods based on wavelet analysis and machinelearning approach. Both methods enable us to recognize OBBB and are in a goodagreement with each other. The comparative analysis was carried out usingF-measures and ROC-curves.

Non-invasive analysis of blood-brain barrier permeability based on wavelet and machine learning approaches