ADAPTIVE PROCESSING AND ANALYSIS OF ELECTROCARDIOSIGNALS IN CHILDREN WITH A DEFICIT OF DEVELOPMENT 

Artyom P. Nazarychev, Student, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: naz_artem@mail.ru
Alexander Yu. Tychkov, Doctor of technical sciences, professor of the sub-department of radioengineering and radioelectronic systems, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: tychkov-a@mail.ru
Yulia N. Komkova, Candidate of biological sciences, senior researcher of the laboratory of developmental psychophysiology and development diagnostics, Institute of Age Physiology, Russian Academy of Education (8 Pogodinskaya street, Moscow, Russia), E-mail: julie.komkova@gmail.com
Galina A. Sugrobova, Candidate of biological sciences, associate professor of the sub-department of general biology and biochemistry, Penza State University (40 Krasnaya street, Penza, Russia), E-mail: sugrobovaga@mail.ru 

61.13058 

10.21685/2307-5538-2021-4-9 

Background. Socio-economic and cultural transformations in society inevitably affect the development guidelines of a young person, which often do not take into account the individual characteristics of the processes of growth and development, which negatively affects the psychophysiological state of health: mental performance decreases, the level of anxiety and hyperactivity increases. The effectiveness of using various diagnostic methods to analyze the level of functioning of the physiological systems of the body increases with an interdisciplinary approach taking into account the knowledge of engineering, medical, biological and psychological sciences. Materials and methods. The paper reviews methods for assessing developmental deficits in children and adolescents by means of electrophysiological measurements of heart potentials, and also offers an original method for assessing developmental deficits using the Hilbert- Huang transform. Results and Conclusions. A method for assessing developmental deficits in children and adolescents is presented, which allows us to comprehensively trace the process of searching for optimal signal markers of electrocardiosignal in children with developmental deficits. The determination and selection of signal markers of developmental deficits is based on a combination of optimal decomposition results and mathematical analysis of the studied electrocardiosignal. 

electrocardiosignal, heart rate variability, developmental deficits, Hilbert-Huang transform