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Computing brain rhythm indicators of EEG signal

The brain-computer interface is a complex system. One of its most important components is a module that analyzes and recognizes various states of the brain using EEG signals. An important task is to assess the presence of a particular brain rhythm. To do this, it is necessary to select the desired frequency range by filtering EEG signals, and then consider not the signals themselves, but their frequency characteristics. By analyzing the frequency characteristics, it is possible to calculate an indicator value that allows one to assess the presence of a particular brain rhythm in EEG signals. This work describes a method for assessing the presence of brain rhythms, as well as its software implementation. The results of the work show that the proposed method is a fairly effective tool for assessing the presence of brain rhythms using EEG signals.