SYSTEM AND METHOD FOR DETERMINING STATE OF STRESS BASED ON BIOMETRIC EEG SIGNAL Russian patent published in 2020 - IPC A61B5/476 A61B5/16 

Abstract RU 2736711 C1

FIELD: medicine.

SUBSTANCE: group of inventions relates to medicine, specifically to a system and method for determining the state of stress based on an EEG signal. System includes a signal receiving unit (2), a primary signal processing unit (3), a filtered primary signal processing unit (4), unit for determining state of stress (5), unit for outputting data (6). In embodiments of technical solution there may be a unit for personalization of stress (7), unit for fixing deviation from normal state of user (8). In the method implementation, the EEG signal is obtained from the user's (1) neurointerface by the signal reception unit. Signal reception unit is connected to the signal primary processing unit. Primary signal processing unit is used for primary processing by spectral decomposition of the received signal into cerebral rhythms. Signal primary signal processing unit is connected to filtration unit of primary processed signals. Using the filtration unit, the signal is checked for noise and aggregation of the primary converted signals of left-hemispheric and right-hemispherical alpha-rhythms is performed. Stress state unit is used to determine the state of stress by determining a correlate of the stress state. Stress state determination unit is connected to filtration unit and configured to determine frontal asymmetry, to average the sum of leads along sliding window, determining the standard deviation of the stress indicator and the global average stress indicator, determining the state boundary and exiting therefrom. Unit for outputting data is connected to the stress state unit. Data output unit output data by providing user with obtained results.

EFFECT: higher reliability of determining current state of stress due to higher accuracy of processing obtained data and expanded interpretation of data on brain activity of user in real time.

8 cl, 8 dwg

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RU 2 736 711 C1

Authors

Makarov Aleksandr Nikolaevich

Makarov Andrei Aleksandrovich

Goriushko Sergei Mikhailovich

Aprelskii Egor Vadimovich

Patrikeeva Natalia Valentinovna

Utiusheva Larisa Dmitrievna

Dobrotvorskaia Vera Sergeevna

Maslov Maksim Iurevich

Dates

2020-11-19Published

2020-02-19Filed