O.V. Tikhonenkova1, T.V. Sergeev2, A.B. Chkhindjeria3

1–3 Saint Petersburg State University of Aerospace Instrumentation (St. Petersburg, Russia)

1 krivohizhinaov@gmail.com, 2 stim9@yandex.ru, 3 chkandrew@yandex.ru

The main scientific problem that the entire project is aimed at solving is the development of tools (methodological, mathematical, algorithmic, and hardware–software tools) to study the effect of the morphological and functional state of the structures of the cervical spine, including its bone-ligamentous apparatus, on cerebral circulation during long-term monitoring. Physiological data must be recorded synchronously for a long time (up to several hours) in static positions of the cervical spine during its movement, as well as during its movement during natural human activity and during work. Synchronous data comparison and interpretation of the results obtained are associated with the search and development of methods for mathematical processing and joint analysis of data on the relative position and movements of the structures of the cervical region, as well as on the blood supply of cerebral vessels associated with a particular position. Objective – development of methodological and software-algorithmic support for the system aimed at obtaining and analyzing synchronously obtained objective instrument data on the movement of structures of the human cervical spine and impact changes in the blood supply of the arteries and vessels of the brain.

Software and algorithmic support allows us to solve a fundamental scientific problem – to identify the mechanisms of the functional relationship between the state of the structures of the cervical spine and the vertebral artery of a person, leading to an understanding of the causes of the vertebrobasilar arterial system syndrome and its development. The identified mechanisms of interrelation, in turn, will contribute to the development of an appropriate technological platform based on a set of instrumental rehabilitation procedures. The solution to the problem of predicting the trajectory of an aircraft and estimating its movement parameters allows us to significantly limit the search area, thereby reducing the risk of ambiguous determination of the aircraft's location and extending the scope of applicability of search extreme navigation algorithms to the case of autonomous navigation of aircrafts.

Tikhonenkova O.V., Sergeev T.V., Chkhindjeria A.B. Software development for a biotechnical monitoring system. Achievements of modern radioelectronics. 2025. V. 79. № 8. P. 59–66. DOI: https://doi.org/10.18127/j20700784-202508-06 [in Russian]

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