The invention relates to the field of identifying the results of medical measurements. The use thereof ensures the technical result in the form of a possibility for estimating confidently and prognosticating reliably the emotional-behavioral states and psychophysiological functioning of a human by means of data obtained as a result of studying the cardiac rhythm thereof. This result is achieved owing to the method including step of: a) performing an intraday monitoring of the patient's ECG; b) storing the data of this monitoring in the computer memory; c) carrying out a computer processing of the data stored in the step b) for constructing, in accordance with those data, an intervalogram of the patient's cardiac rhythm variability per 24-hour period; d) determining, in accordance with the intervalogram constructed in the step c), those spans corresponding to the nighttime and having at least the predetermined length, where the cardiac rhythm variability is reduced in comparison with the average daily characteristics at the intervalogram spans having the same length and corresponding to the daytime, herewith said reduction of the cardiac rhythm variability shows that the given patient has a night hypersympathicotonia syndrome; e) comparing the differences determined in the step d) with the values from the preformed correspondence set stored in the computer memory, thus defining a degree of manifestation of the predefined indices of the night hypersympathicotonia syndrome; and f) performing, on the basis of the comparison made in the step e), predictive estimations of the human day emotional-behavioral states and psychophysiological functioning.
Method for evaluating and prognosticating the daily emotive behavior states and psychophysiological activity of a person according to the measures of night hypersympathicotonia syndrome