Development of Hardware-Software Complex for Detecting a Stress State in Real Time from EEG Signals

We have developed an eight-channel device for recording electroencephalogram signals in a wide frequency range including low-frequency oscillations. The signals simultaneously recorded by the developed device and serial recorder have been compared. We have proposed and implemented a method for detecting a stress state in real time. The method is based on the analysis of electroencephalogram signal power spectrum in the range from 0.15 to 0.4 Hz.