Defining the dynamics of human functional state indices through structural linguistic analysis of brainwaves

This article presents a mathematical model of the human brain electroencephalogram signals and describes and justifies the application of the method based on the structural linguistic analysis of signals used to detect the human perception of weak single sound and visual stimuli. The method is justified through the results of psychophysiological research works. Electrophysiological brain signal can be converted in the amplitude phase patterns. Such conversion allows translating electrophysiological signal into a code sequence, which can be processed via structural linguistic methods. According to the dominant theory proposed by Ukhtomsky a brain signal is most pronounced when it is dominant for processing the current stimulus. Thus there is a change of code sequence parameters. Based on the dynamics of code sequence parameters, one can draw conclusions about the dynamics of human functional state indices. The article shows the results of processing of the experimental data using the method of structural linguistic analysis to detect human perception of weak single sound and visual stimuli. As a result of stimulus the entropy of code sequence decreases.