The purpose of research is the development of a project for an express analyzer device for the determination of antigens of the coronavirus family.

Methods. Theoretical approaches in the design of the express analysis device were based on the theory of virology, the application of the applied theory of finite automata, general systems theory, statistical analysis, differential-integral calculus, set and graph theory. The Co V antigen detection assay runs in a solid phase immuno-chromatographic state. The construction of the device model and the simulation of the program operation were performed using CX-One Software.

Results. At the end of 2019, an outbreak of a new coronavirus infection occurred in the People's Republic of China with an epicenter in the city of Wuhan, the causative agent of which was given the temporary name 2019-nCoV. In 2020, the World Health Organization registered a pandemic caused by a coronavirus infection and classified the new coronavirus as SARS-Co V-2. The end of 2021 was characterized by a further mutation of the coronavirus and the emergence of the Omicron strain. In March 2022, the Omicron BA.2 (stealth-Omicron) strain was recorded, the nature of the disease in which also proceeds according to the type of acute catarrhal syndrome or acute respiratory disease. A feature of the new strains is a higher reproduction rate. In the period 2022-2023, new strains of the SARS-CoV-2 coronavirus are expected to appear, which makes the development of an express analyzer relevant. A technique for express analysis of infection with the coronavirus family using special diagnostic probes based on the use of secondary immobilized antibodies has been studied. A technological map of the device being designed has been developed. Logic equations and relay-contact control circuits implemented on the OMRON software and hardware complex have been developed. The construction of a device for express diagnosis of coronavirus infection will solve the problem of safety, efficiency and reduce the epidemiological situation.

Conclusion. The production of express analyzers for the presence of coronavirus antigens will make it possible to quickly determine infection on coronavirus RNA.

The purpose of research is to develop a biotechnical system (BTS) using neuroelectrostimulation of the peripheral nerve formations of the neck to assess and correct the psychophysiological l state of a person.

Methods. The study involved 79 volunteers-subjects, divided by randomization into the main, control and placebo groups. The assessment of psychometric parameters of working memory was carried out using the dual 2-back test, and the assessment of the functional state was carried out using the analysis of heart rate variability (HRV). Correction of the psychophysiological state was carried out by stimulating the nerve formations of the neck with a spatially distributed field of voltage impulses; the target of stimulation was the cervical ganglia of the sympathetic nervous system.

Results. The results of the study showed that the proposed structure of the BTS and the method for correcting the human psychophysiological state can improve working memory performance and normalize the state of the autonomic nervous system after five correction procedures. The results obtained on the test practically do not change and remain after 2 months.

Conclusion. BTS, which includes a block of multichannel neuroelectrostimulation of peripheral nerve formations of the neck, is effective for correcting human psychophysiological l state, which is important for solving the problems of finding new ways and methods to improve human cognitive activity in the field of education.

The purpose of research is to develop a system for predicting the risks of cardiovascular diseases based on EDF format files and images of cardiac signals.

Methods. To implement the software system, the Python programming language version 3.10 was used. The prediction of the risks of cardiovascular diseases occurs using neural networks, the architecture of which was chosen with the structure of a multilayer perceptron with one hidden layer. When developing the application, the following libraries were used: PyEDFlib, Scikit-learn, SQLite3, PyQtGraph, Pandas, PyWavelets, Scipy, Pillow, OpenCV, Matplotlib. The input data of the program are EDF files and images of cardiac signals in png, jpg, jpeg, bmp and svg formats.

Results. As a result of the development of the software product, the interface and architecture of the program were developed. Two neural networks with a common structure have been developed and trained. Their training was carried out by the method of back propagation of the error. A database has been developed to store information about patients, diseases and thresholds. Algorithms of forecasting, neural network training, division of a cardiac signal into PQRST complexes, reading of a cardiac signal from an image and an EDF file are implemented.

Conclusion. A software system has been developed that allows predicting the risks of cardiovascular diseases, which will allow doctors to speed up the diagnosis of CVD and reduce the time spent on providing medical services to patients, as well as improve the results of managing patients at high risk. In the future, the developed software product can be improved and refined with new functions: adding new ones for the cardiovascular diseases software system and working with them, improving the accuracy of forecasting, improving the quality of reading data from images.

Purpose of research is development of a technique providing specification of inertial measurements of parameters of deviations of unmanned aerial vehicles from a given trajectory by parallax images of the underlying surface.

Methods. For the mathematical description of the specification procedures, a mathematical model of deviation parameters was used, establishing a functional relationship between these parameters, the plane coordinates of the corresponding points and the parallaxes of overlapping images of the underlying surface. The nonlinear system of equations describing this functional relationship was solved using the least squares method with an estimate of the accuracy of the results obtained.

Results. A technique has been developed to specify the parameters of deviations of unmanned aerial vehicles from a given trajectory based on autonomic photogrammetric processing of overlapping images of the underlying surface. Linearization is performed and a procedure for solving a system of nonlinear equations describing a model of deviation parameters is described. Analytical relations for a posteriori estimation of the accuracy of the obtained results are obtained.

Conclusion. The developed technique provides clarification of the values of uncoordinated deviations of the flight route of unmanned aerial vehicles from a given trajectory, measured by means of inertial navigation in conditions of loss of signals from navigation satellites. The proposed approach, in comparison with known methods, makes it possible to reduce the number of processes corresponding to points on overlapping images by three times. This makes it possible to significantly reduce the level of computational and resource costs that the developed methodology has, provides a specification that is of great importance for using the developed methodology on board small-sized unmanned aerial vehicles.

The purpose of research is to develop a method for a comprehensive assessment of the level of information content of classification features in conditions of incomplete and fuzzy data structure.

Methods. The methodology of synthesis of hybrid fuzzy decision rules is used as a basic mathematical apparatus, focused on decision-making in conditions of incomplete and fuzzy description of the analyzed data. In the absence of training samples, it is proposed to use expert evaluation using brainstorming using the Delphi method and the theory of measuring latent variables with the G. Rush model to assess informativeness. In the presence of training samples, including small-volume samples - methods of expert evaluation, the informative Kullback measure, discriminant analysis, the method of group accounting of arguments, the Wald method, and the theory of measurement of latent variables.

Results. As the basic elements of mathematical models for calculating indicators of informativeness, it is proposed to use normalization functions of informativeness that take into account measures of confidence in the methods and data used and have the properties of membership functions. The desired indicators of informativeness for individual features and for the entire feature space are obtained by aggregation of normalization functions, and aggregation functions are selected taking into account the specifics of the tasks being solved.

Conclusion. In the course of the conducted research, the task of developing a method for a comprehensive assessment of the level of information content of classification features in conditions of incomplete and fuzzy data structure was solved. It was shown that to quantify the informativeness of each of the features, several methods describing various properties of the data structure under study should be used, and the integral indicator of informativeness should be determined by synthesizing fuzzy models in accordance with the general recommendations of the methodology for synthesizing hybrid fuzzy decision rules. To improve the accuracy of decision-making models, a mechanism for their correction is proposed by introducing confidence measures to the composition of informative features and the volume of the training sample.

Purpose of research a way to increase the efficiency of data processing processes using hardware video accelerators that have CUDA cores in their composition.

Methods. The method of software interaction with the hardware computing means of a video accelerator with CUDA cores using the BlazingDB solution based on RAPIDS AI was used. PostgresSQL database and BlazingSQL technology are used to study the performance and speed up data processing processes.

Results. The use of BlazingDB speeds up the data processing process several times relative to PostgresSQL. The performance of BlazingDB technology, which uses a video accelerator instead of a central processor, surpassed PostgresSQL by 10 and 35 times for two different massive data sampling and processing tasks.

Conclusion. The possibilities of hardware video accelerators when using them for information processing tasks in a database are investigated; the performance of the BlazingDB solution for interacting with CUDA cores and standard PostgresSQL solutions is compared; the considered solution demonstrates a multiple increase in data processing performance using a large number of CUDA video accelerator cores relative to the CPU, which has a significantly smaller number of cores, but a large the frequency of work.

Purpose of research is development of algorithms for visualization of multichannel threads of biomedical data in the process of monitoring the functional state of a patient.

Methods. Algorithms for representing multichannel monitoring biomedical signals in the form of graphs on the screen of a video monitor are proposed. The problems of building data processing and visualization systems in the Windows operating system are shown., It is proposed to use "performance counters" - special registers of the central processor that allow you to measure time intervals with an accuracy of fractions of microseconds to solve the problem of performing thread pauses when designing real-time signal processing systems. An algorithm for the procedure for performing pauses in real-time signal processing systems in the Windows operating system based on performance counters has been developed. The algorithm is based on including the Sleep function with a zero argument in the performance counter status polling loop.

Results. In multichannel systems for monitoring biomedical data, it is proposed to use pipeline processing, in which the overall computational process is split into certain stages, called steps. A separate piece of hardware is allocated for each stage. Approbation of the operation algorithm of the stage of visualization of multichannel data has been carried out. The algorithm performs display device initialization and then a graphics rendering workflow based on the supplied data. Based on the proposed algorithm, a monitor of biosignals (electromyosignal and electrocardiosignal) was developed, which allows drawing several thousand graphic primitives per second and displaying signals in real time on the video monitor screen.

Conclusion. In the course of the study, algorithms for visualizing streaming data of medical signals in the Windows operating system were developed. Data sources were a variety of medical equipment, such as biopotential amplifiers, electrocardiographs, pulse oximeters, heart rate monitors, etc., as well as systems for calculating diagnostic indicators. The algorithms are focused on object-oriented software, which makes it possible to implement it in new systems for recording medical signals in the Windows operating system.

The purpose of research is increasing the diversity of designs of electronic auscultation systems with measured characteristics and testing. A series of articles includes the development of a model of an electronic auscultation system, the development of an electronic stethoscope design, the manufacture of an experimental sample, the development of a method for measuring the amplitude-frequency characteristics of electronic and classical stethoscopes, testing the proposed models and methods, and analyzing auscultatory data. The article proposes a model for constructing electronic auscultation systems in order to expand the variety of technical means of electronic auscultation; an experimental sample is proposed based on the proposed model.

Methods. The research was based on domestic publications and developments in the field of electronic auscultation. To improve the quality of recorded data, based on the classic stethoscope head, an electronic stethoscope head has been developed that provides high sensitivity to breath sounds in a wide frequency range, providing a uniform frequency response in the operating frequency range.

Results. Based on the proposed model, an experimental sample of the electronic auscultation system was developed.

Conclusion. A model of an electronic auscultation system is proposed, and a design of an electronic stethoscope head with a wide bandwidth is proposed. In the future, testing and measurement of the amplitude-frequency characteristics of the electronic auscultation system is required.

The purpose of research is to develop models for the placement of a fiber-optic transport communication line in the process of monitoring the functional state of the features of the settlements of the route being laid.

Methods. The features of the functioning and implementation of the fiber-optic connection in relation to the Kursk- Zheleznogorsk transport line are considered. The objectives of the research are outlined, a model is considered as a basic version, in which the issues of the implementation of data transmission technologies and their practical use are analyzed, as well as an assessment of the economic efficiency of a fiber-optic communication line (fiber optic line) is made. The paper highlights the key areas for substantiating the composition and parameters of the model, outlines the principles of forming meaningful input data, and discusses some important aspects of terrain accounting. The factors influencing the choice of architecture for the construction of a transport communication line, the organization of the SDH "point-to-point" topology of the transport network between cities through the use of synchronous linear multiplexers SLM are noted.

Results. In the process of modeling the placement of fiber-optic transport communication line, the following are proposed: architecture, topology, modeling of the fiber-optic communication line; the choice of a route for certain sections of the fiber-optic communication line using geographical features of the terrain when modeling a fiber-optic communication line on the Kursk-Zheleznogorsk section; methods of transmitting communication services to subscribers of the network; the use of Triple Pay services from Rostelecom PJSC; operators of a multiservice broadband IP connection network; the analysis of the requirements for the organization of the fiber optic network and the calculation of the parameters of the communication line.

Conclusion. In the course of the conducted research, the basic requirements were developed for the selection and laying of a VOC taking into account the geographical features of the terrain when modeling a fiber-optic communication line on the Kursk -Zheleznogorsk section, the network characteristics and parameters of the communication line were calculated, and the operators of a multiservice broadband IP connection network were identified.