  The blood-brain barrier plays a decisive role in protecting the brain from
toxins and pathogens. The ability to analyze the BBB opening (OBBB) is crucial
for the treatment of many brain diseases, but it is very difficult to
noninvasively monitor OBBB. In this paper we analyse the EEG series of healthy
rats in free behaviour and after music-induced OBBB. The research is performed
using two completely different methods based on wavelet analysis and machine
learning approach. Both methods enable us to recognize OBBB and are in a good
agreement with each other. The comparative analysis was carried out using
F-measures and ROC-curves.
