METHOD FOR PREDICTING PERFORMANCE OF THE SIMULATED COGNITIVE ACTIVITIES ON THE BASIS OF COMPLEX PHYSIOLOGICAL PARAMETERS AND LOGIT REGRESSION ANALYSIS

摘要

FIELD: medicine.;SUBSTANCE: invention relates to medicine, namely physiology and occupational health. electrophysiological indices are recorded and the power of theta-oscillations of the EEG in the lead of F3 in μV²/s², frequency of the cross-correlation function of the EEG in the F3-F4 lead, peak-to-peak amplitude N2P3 of the cognitive evoked potential P300 in Cz in μV, the amplitude of the conditionally negative deviation (CNF) in Cz in μV, and the mean square deviation of the heart rate variability in ms. Regression equation is then calculated, y = -4.41 + 0.07 * power of theta echo oscillations in F3-0.43 * EEG correlation frequency F3-F4-0.23 * amplitude N2P3 P300 in Cz + 0.03 * amplitude of CNF in Cz -0.004 * RMS RDS and logit of transformation P = e^y/ (1-e^y), and determine the probability of distribution of the researched to the productive and low-impact groups.;EFFECT: method provides higher prediction reliability which is achieved by using the above-mentioned electrophysiological parameters.;1 cl, 2 tbl