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

Abstract RU 2736803 C1

FIELD: medicine.

SUBSTANCE: group of inventions refers to medicine, namely to a system and method for determining the concentration state based on an EEG signal. System includes a signal reception unit (2), a signal primary processing unit (3), a filtered primary signal processing unit (4), a concentration state determining unit (5) and a data output unit (6). In the embodiments of the technical solution there may be an additional unit for personalization of concentration state (7), a unit for fixing the deviation from the 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 primary processing unit is connected to signal reception unit. Primary signal processing unit is used for primary processing by spectral decomposition of the received signal into cerebral rhythms. Primary processed signal filtering unit is connected to the signal primary processing unit. Using the filtration unit of the primary processed signals, the signal is checked for interference and aggregation of the primary converted left-brain beta-rhythms is performed. Concentration determination unit determines the concentration state by determining the concentration correlate. Concentration status determination unit is connected to filtration unit of primary processed signals and is configured to perform summation of frontal and temporal beta activity, averaging the sum of the leads on a sliding window, determining the standard deviation of the concentration indicator and the global average concentration indicator, determining the state boundary and exiting therefrom. Data output unit is connected to concentration state determination unit. Data output unit output data by providing user with obtained results.

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

8 cl, 9 dwg

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RU 2 736 803 C1

Authors

Makarov Aleksandr Nikolaevich

Makarov Andrei Aleksandrovich

Goriushko Sergei Mikhailovich

Aprelskii Egor Vadimovich

Patrikeeva Natalia Valentinovna

Utiusheva Larisa Dmitrievna

Pavlova Marina Kirillovna

Dates

2020-11-20Published

2020-02-19Filed