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

Abstract RU 2736710 C1

FIELD: medicine.

SUBSTANCE: group of inventions relates to medicine, specifically to a method and system for determining the state of fatigue or vigour based on 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 fatigue or vigour state (5), data output unit (6). In the method implementation, the EEG signal is obtained from the user's (1) neurointerface by the signal reception unit. Primary treatment is performed by spectral decomposition of the obtained signal into cerebral rhythms by means of a primary signal processing unit. Signal primary processing unit is connected to the signal reception unit. Signal is checked for presence of noise and aggregation of the primary converted signals of left hemisphere alpha- and theta rhythms is performed by means of the filtration unit of the primary processed signals. Filtration unit is connected to the signal primary processing unit. Fatigue or vigour states are determined by determining the correlate of the fatigue or vigour state by the fatigue or cheer state determining unit configured to determine the alpha rhythms to theta rhythms ratio, averaging sum of lead on sliding window, determination of standard deviation of fatigue indicator or vivacity and global average indicator of fatigue or vivacity, determination of state boundary and exit beyond it. Unit for determining fatigue or vigour state is connected to filtration unit. Data are output by providing the user with the obtained results using the data output unit. Output unit is connected to the fatigue or cheer state determination unit.

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

8 cl, 7 dwg

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Authors

Makarov Aleksandr Nikolaevich

Makarov Andrei Aleksandrovich

Goriushko Sergei Mikhailovich

Aprelskii Egor Vadimovich

Patrikeeva Natalia Valentinovna

Utiusheva Larisa Dmitrievna

Dobrotvorskii Aleksei Sergeevich

Dates

2020-11-19Published

2020-02-19Filed