R&D registration number in UkrISTEI: 0120U101266
What priority area of science and technology does it correspond to: life sciences, new technologies for the prevention and treatment of the most common diseases
Research: applied (scientific and technical development)
Funding source: state budget, general fund of the state budget
The amount of financing: more than 1000 thousand UAH (UAH 1648.153 thousand)
Starting year of the study: 2020
Prospect for further implementation in 2022-2023: to be completed
Research level: no analogues in Ukraine
Patent: no
Additional actions requiring further research: search for interested investors; expanding the range of research and updating the material and technical base; state support; approval of normative documentation
Participation of the institution in the existing regional targeted and integrated programs: Peter Mohyla Black Sea National University didn’t participate.
Brief description, advantages, further prospects for application.
As a result of the study, a mathematical model and methods for constructing a hardware-software complex within the WBAN technology were developed. An algorithm for the operation of the complex has been developed. A mathematical apparatus of a multidimensional approach to the processing of monitoring data from the standpoint of the theory of pattern recognition and new methods of computer data visualization has been developed and tested. The methods of traditional computer processing of monitoring data have been improved on the basis of modern methods of singular spectral analysis of the analysis of principal components, variability descriptors, Poincaré plots, using modern computer mathematics systems Maple 2021. Poincaré. The result of this analysis was the identification of self-regulation of the patient’s cardiovascular system, and this effect is reflected in the short-term and long-term variability of the data sets. A moderate, but statistically significant, direct correlation was found between blood pressure and heart rate. Computer processing of home blood pressure monitoring readings is of diagnostic value. For the first time, the method of singular spectral analysis (SSA) was applied for computer processing of home blood pressure monitoring (HBPM), and the advantages of the method in work were also shown.