CONTROL AND CORRECTION OF INFORMATIVE PARAMETERS OF PHYSIOLOGICAL ACTIVITY OF THE BRAIN 

Sof'ya Yu. Tverskaya, Student, Penza State University (40 Krasnaya street, Penza, Russia), tverskaya_sofya@mail.ru
Aleksandr Yu. Tychkov, Doctor of technical sciences, professor of the sub-department of radio engineering and radio electronic system, Penza State University (40 Krasnaya street, Penza, Russia), tychkov-a@mail.ru
Artem P. Nazarychev, Student, Penza State University (40 Krasnaya street, Penza, Russia), naz_artem@mail.ru

Background. The introduction of new technologies makes everyday life easier, but at the same time increases the impact on the human nervous system, which in turn negatively affects his health, quality of life and performance. The aim of the work is to develop a technique for monitoring and correcting the informative parameters of the physiological activity of the brain through the use of known and new original approaches to restore the nervous system under conditions of prolonged stress. Materials and methods. The paper provides an overview of systems for recording and correcting the parameters of the physiological activity of the brain, as well as a method for monitoring and correcting the physiological parameters of brain activity. It is proposed to use new and improved methods of digital processing of physiological signals of the brain to ensure automation of the signal analysis process by a doctor. Results and conclusions. A technique for monitoring and correcting the physiological parameters of brain activity has been developed, which ensures the registration of physiological signals of the brain in eight leads, storage and digital processing, analysis of informative parameters and decision making.

electroencephalogram, informative parameters, control and correction, physiological activity 

Tverskaya S.Yu., Tychkov A.Yu., Nazarychev A.P. Control and correction of informative parameters of physiological activity of the brain. Izmereniya. Monitoring. Upravlenie. Kontrol' = Measurements. Monitoring. Management. Control. 2022;(3):114–120. (In Russ.). doi:10.21685/2307-5538-2022-3-14