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

FIELD: medicine.

SUBSTANCE: group of inventions relates to medicine, specifically to a method and a system for determining the state of cognitive load 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 cognitive load state determining unit (5) and a data output unit (6). In embodiments of the technical solution, it is possible to have a unit for personalization of state of cognitive load (7) and 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 primary processing unit is connected to signal reception unit. Primary signal processing is performed by means of the primary signal processing unit by spectral decomposition of the received signal into cerebral rhythms. Primary processed signal filtering unit is connected to the signal primary processing unit. Filtration unit checks the signal for interference and aggregation of the primary converted signals: left hemisphere theta rhythms and number of blinks. Cognitive load state is determined by determining correlate of cognitive load state by cognitive load status determination unit. Cognitive load state determining unit is connected to the filtration unit and is configured to determine the number of blinks per minute, averaging the sum of leads on the sliding window, determining a standard deviation of a cognitive load indicator and a global average indicator of cognitive load, determining a state boundary and exiting therefrom. Data output unit is connected with cognitive load status determination unit. Data output unit output data by providing user with obtained results.

EFFECT: higher reliability of determining the current state of cognitive load by improving accuracy of processing of obtained data and extended interpretation of data on brain activity of a user in real time.

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