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Issue 3 (205), article 5

DOI:https://10.15407/kvt205.03.084

Cybernetics and Computer Engineering, 2021, 3(205)

YERMAKOVA I.I., Full Professor, DSc (Biology),
Leading Researcher of Complex Research
of Information Technologies Department
ORCID: 0000-0002-9417-1120
e-mail: irena.yermakova@gmail.com

BOGATONKOVA A.I., Ph.D. (Engineering),
Senior Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0002-7536-5958
e-mail: bogatonkova@gmail.com

NIKOLAENKO A.Yu., Ph.D. (Engineering),
Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0002-2402-2947
e-mail: n_nastja@ukr.net

TADEEVA Yu.P., Ph.D. (Engineering), Senior Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0001-5418-2848
e-mail: jbest0207@gmail.com

HRYTSAIUK O.V.,,
Junior Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0002-9019-4894
e-mail: olegva11@gmail.com

SOLOPCHUK Yu.M.,
Researcher,
Complex Research of Information Technologies Department
ORCID: 0000-0001-9712-6045
e-mail: jul.bast@gmail.com

International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine,
40, Acad. Glushkov av., Kyiv, 03187, Ukraine

M-HEALTH TECHNOLOGY FOR THE FORECAST OF THE HUMAN CONDITION IN EXTREME ENVIRONMENTAL CONDITIONS

Introduction. Rapidly evolving Mobile health (m-health) includes mobile phones, patient monitors, personal digital assistants, and other wireless devices for tracking certain data, such as fitness level, heart rate, medication dosage, sleep cycles, and more. This helps patients control their health, which is important in the face of growing medical shortages. Devices and applications help healthcare providers make visits / appointments and collect patient data.

An important means of person-centered is the creation of combined information and computer systems that allow patients to independently monitor vital indicators of their own health, and doctors – to monitor the health of patients remotely and analyze the results of monitoring using mobile applications for timely and effective adjustment of treatment and prevention measures.

The purpose of the article is to develop m-health technology to assess the risk of deterioration of human health in extreme environmental conditions. To do this, a computer module for determining the impact of the environment on the thermal state of man has been developed.

Conclusions. The use of a complex method of modeling in combination with modern computer technology makes it possible to study the processes of heat exchange between humans and the environment, given the huge number of many regulatory reactions and physiological processes.

The technology takes into account more than 490 indicators of man and environment, including: anthropometric data, anatomical parameters, biophysical characteristics, basic physiological characteristics, human adaptive properties, environmental characteristics and duration of human stay in selected conditions.

The developed m-health technology for forecasting the human condition in extreme environmental conditions is a program based on a set of mathematical models of human thermoregulation, which makes it possible to determine a number of important physiological factors. The main task of the program is to prevent damage to human health in extreme environmental conditions during exercise. The application makes it possible to predict the dynamics of thermoregulatory physiological reactions of a person during heat.

The mobile application issues a conclusion about the danger or safety of the planned physical activity under the given environmental conditions.

Keywords: simulation, computer module, extreme impact, environment

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REFERENCES

  1. Abdulaev V.G., Askerov T.K., Chuba I.V. Mobilnyie prilozheniya dlya zdorovya [Tekst]. Radioelektronika i informatika. – 2014. – T. 1, № 64.
  2. M. McCarthy, P. Spachos, “Wellness assessment through environmental sensors and smartphones”, Communications (ICC) 2017 IEEE International Conference on, pp. 1-6, 2017.
  3. I. Khudetskyy., Yu. Antonova-Rafi “Development of the module for data processing psycho-physiological indicators based on the Android OS” Materials of the XII International Scientific and Methodical Conference “Physical Education in the Context of Modern Education,” Kyiv, pp.115-116, 2016.
  4. O. Hotra; O. Boyko; T. Zyska “Improvement of the operation rate of medical temperature measuring devices” SPIE Proceedings, – Vol. 92914, pp. 92910A, 2014.
  5. R.Holyaka, N.Kostiv “Energy-efficient signal converters of thermocouple, temperature sensors” Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, pp. 26-28, 2011.
  6. Yermakova I., Nikolaienko A., Tadeieva J., Bogatonkova A., Solopchuk Y., Gandhi O., Computer model for heat stress prediction during physical activity. Proceedings of the 40th International scientific conference electronics and nanotechnology. Institute of Electrical and Electronics Engineers, Kyiv, Ukraine, 22-24 April 2020. – P. 569-573
  7. Hrytsenko V., Nikolaienko A., Solopchuk Y., Yermakova I., Regan M. Dynamics of Physiological Responses during Long Distance Run: Modelling. Proceedings of the 38th International scientific conference electronics and nanotechnology. Institute of Electrical and Electronics Engineers, Kyiv, Ukraine, 24-26 April 2018, – pp. 439-442. ISBN 978-1-5386-6382-0. doi:10.1109/ELNANO.2018.8477470.
  8. Dorosh N., Ilkanych K., Kuchmiy H., Boyko I., Yermakova I, Dorosh O., Voloshyn D. Measurement modules of digital biometrie medical systems based on sensory electronics and mobile-health applications. Proceedings of the 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET). IEEE, Slavske, Ukraine, 20-24 February 2018, – pp. 687-691. doi:10.1109/TCSET.2018.8336294.
  9. Dorosh N., Ilkanych K., Hrytsenko V., Yermakova I, Bogatonkova A., Dorosh O. Mobile Infocommunication System for Adaptive Analysing of the Biomedical Indicators and Signals. International Scientific and Practical Conference «Problems of Infocommunications. Science and Technology», Kharkiv, Ukraine, 9-12 October 2018.

Received 03.06.2021

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Issue 3 (205), article 4

DOI:https://10.15407/kvt205.03.070

Cybernetics and Computer Engineering, 2021, 3(205)

DANILOVA V.A.1,
Senior Teacher of the Biomedical Engineering Department
ORCID: 0000-0003-3009-6421
e-mail: valnaa@ukr.net

SHLYKOV V.V.1, DSc (Engineering), Associate Professor,
Нead of the Biomedical Engineering Department
ORCID: 0000-0001-8836-4658
e-mail: v.shlykov@kpi.ua

DUBKO A.G.2, PhD (Engineering), Associate Professor,
Researcher of Department of Welding and Related
Technologies in Medicine and Ecology
ORCID: 0000-0001-6070-3945
e-mail: ndreyies17@gmail.com

1National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” 37, . Peremogy av., Kyiv, 03056, Ukraine

2 “E.O. Paton Electric Welding Institute” 11, Kazimir Malevich str., Kyiv, 03150, Ukraine

DETERMINATION OF PARAMETERS OF INFLUENCE OF HIGH FREQUENCY CURRENT ON LIVING TISSUES

Introduction. High-frequency electric welding of biological tissues is an effective method of treatment in surgery. This is an electrosurgical method that minimizes the possibility of the destructive effect of electric current on soft living tissues. The welding method is widely used in general surgery for joining soft tissues where a weld is created when a high frequency electric current is passed through the tissue. With this method, it is possible to carry out serious operations, such as welding of liver tissue, retina, resection of tumor tissue and many other operations. For operations in surgery, it is important to know the optimal parameters of HF- welding, such as welding temperature, mechanical stress on tissues, welding time and voltage.

The purpose of the article is to determinate the optimal conditions for high-frequency welding of living tissues, such as welding temperature, mechanical stress on tissues, welding time and voltage. To determine these parameters, the liver tissue fusion was simulated in the Sinda and Comsol software.

Results. As a result of modeling and research, model dependencies were obtained that determine the optimal parameters of high-frequency welding for performing surgical operations for resection and welding of liver tissue. In the place of direct contact of the electrodes with the tissue, the temperature does not exceed +70 ° C, and at a distance of 2 mm in the adjacent tissues does not exceed +50 °C, which provides a tissue-preserving electrosurgical effect.

Conclusions. The studies have shown that mathematical modeling of heating biological tissue by a split electrode, through which a high-frequency current passes, practically coincides with a real experiment. The optimal conditions for high-frequency welding of living tissues obtained as a result of modeling, such as welding temperature and welding time make it possible to reduce the recovery period after applying the HF-welding method by choosing the optimal coagulation modes.

Keywords: welding of biological tissues, mathematical modeling, temperature, liver, surgery, modeling in Sinda, modeling in Comsol

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REFERENCES

  1. Lebedev, A.V., Dubko, A.G. Use of Electric Welding of Living Tissues in Surgery (review). Biomed Eng.2020, 54, pp.73–78. https://doi.org/10.1007/s10527-020-09977-3.
  2. Molotkovets, V.Y., Medvediev, V.V., Korsak, A.V. et al. Restoration of the Integrity of a Transected Peripheral Nerve with the Use of an Electric Welding Technology. Neurophysiology. 2020, 52, pp. 31–42 (2020). https://doi.org/10.1007/s11062-020-09848-3.
  3. Vazina, A.A., Vasilieva, A.A., Lanina, N.F. et al. Study of molecular and nanostructural dynamics of biological tissues under the influence of high-frequency electrosurgical welding. Bull. Russ. Acad. Sci. Phys. 2013, 77, pp.146–150. https://doi.org/10.3103/S1062873813020391.
  4. Paton B.E., Lebedev V.K., Lebedev A.V. et al. Method for welding soft tissues of animals and humans: RU229417. Application number: 2003135514/14. Publication date: 2007.02.27
  5. Shlykov Vladyslav, Kotovskyi Vitalii, Dubko Andrey, Visniakov, Nikolaj, Šešok Andžela. Temperature monitoring for high frequency welding of soft biological tissues: A prospective study. Technology and Health Care, 2019, vol. Pre-press, no.  April, pp. 1–7.
  6. Astrium. SINDA User Manual, ver. 3.2., 2003, 895 p.
  7. COMSOL Multiphysics Reference Manual, ver.5.5, 2019, 1742 p.
  8. Sydorets, V., Dubko, A. The current distribution in the electrodes of electrosurgical instruments during welding of biological tissues. Eastern-European Journal of Enterprise Technologies. 2015, 3(5), pp. 24–28.
  9. Sydorets, V., Lebedev, A., Dubko, A. Mathematical modeling of the current density distribution in a high-frequency electrosurgery. Proceedings – 2015 16th International Conference on Computational Problems of Electrical Engineering, CPEE , 2015, pp. 215–217.
  10. Dubko, A., Sydorets, V., Bondarenko, O. Simulation of the Temperature Distribution with High-Frequency Electrosurgical Heating. 38th International Conference on Electronics and Nanotechnology (ELNANO – 2018), Kyiv, Ukraine. 2018, p. 394–397.
  11. Zoya Popovic, Branko D. Popovic. Introductory Engineering Electromagnetics. Prentice Hall, 1999, 548 p.
  12. Vazina, A.A., Lanina, G. S. Marinsky et al. Influence of high-frequency electrosurgical welding on the functional stability of the structure of biological tissues. Welding of soft living tissues. Current state and development prospects: materials of the Sixth International Seminar: edited by O. N. Ivanova. Kyiv: E.O. Paton Electric Welding Institute, 2011. p. 53.
  13. MSC Sinda 2017 User’s Guide: ID DOC11364. MSC Software Corporation. 2017, 451 p.
  14. Vitaliy B., Maksymenko V., Danilova A., Shlykov V. The Discrete Model for the System of the Myocardium and Coronary Vessels. KPI Science News.2017, No 1, pp. 54–60.

Received 05.04.2021

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Issue 3 (205), article 3

DOI:https://10.15407/kvt205.03.052

Cybernetics and Computer Engineering, 2021, 3(205)

ARALOVA N.I.1, DSc (Engineering), Senior Researcher,
Senior Researcher of Optimization of Controlled Processes Department
ORCID: 0000-0002-7246-2736
e-mail: aralova@ukr.net

KLYUCHKO O.M.2, PhD (Biology), Associate Professor,
Associate Professor of Air Navigation Faculty
ORCID: 0000-0003-4982 7490
e-mail: kelenaXX@nau.edu.ua

MASHKIN V.I.1, PhD (Engineering),  Senior Researcher,
Senior Researcher of Optimization of Controlled Processes Department
ORCID: 0000-0002-4479-6498
e-mail: mashkin_v@ukr.net

MASHKINA I.V. 3, PhD (Engineering), Associate Professor,
Associate Professor of Information Technology and Management Faculty
ORCID: 0000-0002-0667-5749
e-mail: mashkina@kubg.edu.ua

RADZIEJOWSKI P.A. 4, DSc (Biology), Professor,
Professor of Management Faculty, Innovations
and Safety Management Systems Department
ORCID: 0000-0001-8232-2705
e-mail: pawel.radziejowski@pcz.pl

RADZIEJOWSKA M.P. 4, DSc (Biology), Professor,
Professor of Management Faculty, Innovations
and Safety Management Systems Department
ORCID: 0000-0002-9845-390X
e-mail: maria.radziejowska@pcz.pl

1 V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, 40, Acad.Glushkov av., Kyiv, 03680, Ukraine

2 Electronics and Telecommunications National Aviation University, 1, Lubomyr Huzar av., Kyiv, 03058, Ukraine

3 Borys Grinchenko Kyiv University, 18/2, Bulvarno-Kudriavska str., Kyiv, 04053, Ukraine,

4 Czestochowa University of Technology 19b, Armii Krajowej str., 42-200, Częstochowa, Poland

MATHEMATICAL MODEL OF CONFLICT-CONTROLLED PROCESSES IN SELF-ORGANIZATION OF RESPIRATORY SYSTEM

Introduction. Various processes going in surrounding environment are controlled, i. e. their states are determined depending on the specific influence of controlling party. At the same time, it is natural to try to choose the optimal controlling influence that would be the best in comparison with other possible controlling methods. Intensive development of the theory of optimal solutions with computers use has obtained the ability to perform complex calculations and realize the rules of control due to the development of computational technology.

The problem of identifying and studying of the nature of self-organization mechanisms of processes going in organism, the disclosure of the laws of control that operate in it actually arises during the investigation of living systems. Problem solution of self-organization process knowing for these controlled objects should be carried out using the methods of mathematical modeling. Peculiarities of setting problems of control for functionally-organized systems can be conveniently examined on the example of processes going in living organism when the achievement of certain goals is ensured.

The purpose of the article is to create the mathematical model of functional respiratory system for the investigation of self-organization mechanisms in human organism in response to extreme disturbances.

Methods. The usual nonlinear differential equations are used for process description; they describe the mass transfer and mass exchange of respiratory gases flowing along all their ways in organism.

Results. Mathematical model of functional respiratory system has been developed to study the current functional state and to predict the mechanisms of self-organization of respiratory system in adapting to the disturbing influences of external and internal environment based on the problem of optimal control and taking into account the conflict situation between the self-regulating organs – controlling and executing.

Conclusions. Mathematical model of functional self-organization of respiratory and blood circulatory systems is proposed, which takes into account the interaction and inter-influence of organism functional systems, conflict situations between controlling and executive elements of self-regulation; it is based on the assumption of optimal regulation of oxygen regimes. The model may be useful for solving a number of applied problems of physiology and medicine.

Keywords: Functional respiratory system, controlled dynamic system, self-organization of respiratory system, operators of continuous interaction system, disturbing influence of environment.

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Received 27.05.2021

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Issue 3 (205), article 2

DOI:https://10.15407/kvt205.03.026

Cybernetics and Computer Engineering, 2021, 3(205)

CHABANIUK V.S.1, 2, PhD (Phys.-Math.),
Senior Researcher of the Cartography Department, Institute of Geography,
Director of “Intelligence systems-GEO” LLC
ORCID: 0000-0002-4731-7895
email: chab3@i.ua, chab@isgeo.kiev.ua

KOLIMASOV I.M.2,
Head of Production of “Intelligence systems-GEO” LLC
ORCID: 0000-0002-4927-4200
email: kolimasov@ukr.net

1 Institute of Geography, National Academy of Sciences of Ukraine 44, Volodymyrska str., Kyiv, 01054, Ukraine

2 “Intelligence systems-GEO” LLC, 6/44, Mykilsko-Slobidska str., Kyiv, 02002, Ukraine

CRITICAL SYSTEMIC PROPERTIES OF ELECTRONIC ATLASES NEW GENERATION. PART 2: RESEARCH RESULTS

Introduction. Part 2 discusses three critical systemic properties (CSP) of electronic atlases (EA) new generation. With their help fundamentally new, systemic EA are determined. Compared with classic systems, new EA have much more opportunities to model spatial systems of actuality.

The purpose of the article is to describe and prove the criticality of three CSP for a new generation of EA — systemic EA.

Results. Three CSP are described: CSP.System, CSP.Tree, CSP.View. CSP.System means that systemic EA should be models of spatial systems of actuality. These models are primary in contrast to the classic EA models, which are secondary. CSP.Tree means that the contents/solutions tree of the systemic EA must classify the modeled spatial system of actuality. CSP.View should model the visualization needs of users, in particular through interactivity. The methods of Conceptual Frameworks and Solutions Frameworks of Relational cartography, as well as facts from Model-Based Engineering were used for proof.

Conclusions. Three CSP of systemic EAs are described and it is proved that each of them is a necessary property of EA new generation.

Keywords: electronic atlases new generation, critical systemic property, Conceptual Framework, Solutions Framework, Relational cartography.

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Received 22.03.2021

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Issue 3 (205), article 1

DOI:https://10.15407/kvt205.03.005

Cybernetics and Computer Engineering, 2021, 3(205)

GRITSENKO V.I.1, Corresponding Member of NAS of Ukraine,
Director of International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine
ORCID: 0000-0003-4813-6153
e-mail: vig@irtc.org.ua

GLADUN A.Ya.1, PhD (Engineering),
Senior Researcher of the Department of Complex Research of Information Technologies and Systems
ORCID: 0000-0002-4133-8169
e-mail: glanat@yahoo.com

KHALA K.O.1,
Researcher of the Department of Complex Research of Information Technologies and Systems
ORCID: 0000-0002-9477-970X
e-mail: cecerongreat@ukr.net

Martínez-Béjar R.2, PhD (Informatics),
Professof at the Department of Information and Communication Engineering
ORCID: 0000-0002-9677-7396
e-mail: rodrigo@um.es

1 International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, 40, Acad. Glushkov av., Kyiv, 03187, Ukraine

2 Department of Information and Communication Engineering and Artificial Intelligence University of Murcia CP 30180 Bullas, Spain

SEMANTICAL SIMILARITY EVALUATION METHOD OF CONCEPTS FOR COMPARISON OF ONTOLOGIES IN APPLIED PROBLEMS OF ARTIFICIAL INTELLIGENCE

Introduction. The expediency of reapplication of ontology in applied intelligent information systems (IIS), which are focused on functioning in the open Web environment on the basis of Semantic Web technologies, is substantiated in the work. Features of ontology storage and management platforms and their metadata are analyzed. Possibilities of searching in ontology repositories and their reuse in IIS are considered. The mechanisms of ontology search based on semantic processing of their metadata, analysis of ontology structure using metrics of semantic similarity between their concepts related to the current user task are presented.

The purpose of the article is the development of algorithms and methods for evaluating semantic models, which consist in combining qualitative (ontological) representation of knowledge with quantitative (numerical) evaluation of ontologies and their parameters (semantic proximity, semantic distance, semantic affinity) aimed at finding similarities different ontologies

Methods. Methods of ontological analysis of objects of the subject area, theoretical and multiple approaches to determine the degree of closeness of two objects by comparing their properties (feature matching) and traditional methods of statistical analysis are used to solve the tasks set in the work.

Results. The proposed method of estimating semantic similarity allows on the basis of semantic analysis of natural annotations of metadata both ontologies and data (including Big Data) to perform the task of their interpretation and selection to the problem to be solved by the applied IIS or application. The obtained results allow to create original IIS for artificial intelligence in economics, medicine, national security, defense and social sphere.

Conclusion. We proposed an original approach to the evaluation and analysis of metadata (ontologies, data), based on semantic analysis of metadata and determining the semantic similarity of structural data models (ontologies, data) and the formation of a ranked set of related ontologies to solve problems of artificial intelligence. The application of methods for defining semantically similar concepts is presented as a tool for semantic comparison of the structure of ontologies, which were found in the repository under formal conditions, with a poorly structured PM-description. At present, there is no generally accepted standard for presenting metadata, so the proposed methods of analysis of PM annotations are the most adequate means of comparing the semantics of ontologies, data with the problems for which they can be used.

Keywords: semantic similarity, formal ontology model, metadata, metadata standards, intelligent information system, ontology repository.

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REFERENCES

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Received 11.01.2021

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Issue 3 (205)

DOI:https://doi.org/10.15407/kvt205.03

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TABLE OF CONTENTS:

Informatics and Information Technologies:

Gritsenko V.I., Gladun A.YA., Khala K.O., Rodrigo Martínez-Béjar
Semantical Similarity Evaluation Method of Concepts for Comparison of Ontologies in Applied Problems of Artificial Intelligence

Chabaniuk V.S., Kolimasov I.M.
Critical Systemic Properties of Electronic Atlases New Generation. Part 2: Research Results

Intelligent Control and Systems:

Aralova N.I., Klyuchko.M.V., Mashkin.I.V., Mashkina I.V., Radziejowski P.A., Radziejowska M.P.
Mathematical Model of Conflict-Controlled Processes in Self-Organization of Respiratory System

Medical and Biological Cybernetics:

Danilova V.A., Shlykov V.V., Dubko A.G.
Determination of Parameters of Influence of High Frequency Current on Living Tissues

Yermakova I.I., Bogatonkova A.I., Nikolaienko A.YU., Tadeeva Yu.P., Hrytsaiuk O.V., Solopchuk J.M.
M-Health Technology for the Forecast of the Human Condition in Extreme Environmental Conditions

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Issue 2 (204), article 5

DOI:https://doi.org/10.15407/kvt204.02.084

Cybernetics and Computer Engineering, 2021, 2(204)

VOVK М.І., PhD (Biology), Senior Researcher,
Head of Bioelectrical Control & Medical Cybernetics Department
e-mail: vovk@irtc.org.ua; imvovk3940@gmail.com

KUTSIAK О.А., PhD (Engineering),
Senior Researcher of Bioelectrical Control & Medical Cybernetics Department
e-mail: spirotech85@ukr.net

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and of MES of Ukraine,
40, Acad. Glushkov av. Kyiv, 03187, Ukraine

AI-TECHNOLOGY OF MOTOR FUNCTIONS DIAGNOSTICS AFTER A STROKE

Introduction. Diagnostics of motor functions plays an important role in the motor functions restoration after stroke. Synthesis of effective technologies for personalized assessment of motor functions disorders at different rehabilitation stages is an urgent scientific and applied task.

The purpose of the paper is to develop information technology for diagnostics of motor functions deficit after stroke, that uses artificial intelligence tools to increase the effectiveness of the diagnostic process.

Results. The theoretical and practical foundations to synthesize AI-technology for personal diagnostics of motor functions deficit, and the assessment of their restoration as a result of rehabilitation measures after stroke have been developed. For informational assistance to the physician in the diagnostic process, artificial intelligence is used. A new class of mobile digital medicine tools – the specialized software modules for motor functions diagnostics “MovementTestStroke 1.1 (PC)” installed in the PC-structure, and “MovementTestStroke 1.1 (MD)” installed in mobile platforms running under Android operation system have been developed. Software implementation — Visual Studio 2019, C# programming language. Structural and functional models of user – software modules interaction, algorithms for motor function deficit diagnostics, and UML-diagrams of these modules are presented.

Functional features of the technology: an expanded range of evidence criteria for personalized quantitative assessment of limb movements deficit, storage in the Database and display on the interface the results of deficit assessment, as well as the deficit dynamics during the rehabilitation course in a convenient form (tables, graphs) make it possible to reduce the physician’s error, prevent complications, identify the disorders specifics, compare the rehabilitation effectiveness of the upper and lower limbs, their distal and proximal parts, including fine motor skills of the hand, restoration of which helps to restore speech in motor or motor and sensory aphasia.

Conclusions. The usage of artificial intelligence tools to diagnose motor deficit will increase the diagnostic effectiveness, and, as a consequence, rehabilitation services for patients after stroke.

Keywords: diagnostics, motor functions, stroke, personal quantitative assessment, criteria, technology, artificial intelligence, software module, structural-functional model, algorithm, activity diagram.

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REFERENCES

1. Norrving Bo. Action Plan for Stroke in Europe 2018-2030. European Stroke Journal. 2018. Vol. 3(4). pp. 309-336.
https://doi.org/10.1177/2396987318808719

2. Vovk M.I., Kutsiak O.A., Lauta A.D., Ovcharenko M.A. Information Assistance of Researches on the Dynamics of Movement Restoration After the Stroke. Cybernetics and Computer Engineering. 2017, No 3 (189), pp. 61-78. (in Ukrainian)
https://doi.org/10.15407/kvt189.03.061

3. Gritsenko V.I., Vovk M.I. Trenar – Innovative Technology of Restoration of Movements. Science and Business – the basis of economic development: materials of the International Scientific and Practical Forum. Ukraine, Dnipropetrovsk, 2012, pp. 204-206. (in Russian)

4. Varun H Buch, Irfan Ahmed, Mahiben Maruthappu. Artificial intelligence in medicine: current trends and future possibilities. Br J Gen Pract. 2018. No 68(668). pp. 143-144.
https://doi.org/10.3399/bjgp18X695213

5. 5. Bernard Marr. The 9 Biggest Technology Trends That Will Transform Medicine And Healthcare In 2020. URL: https://www.forbes.com/sites/bernardmarr/2019/11/01/the-9-biggest-technology-trends-that-will-transform-medicine-and-healthcare-in-2020/?sh= 6db7334072cd (Last accessed: 1.05.2021)

6. Ahuja A.S. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ. 2019. URL: http://doi.org/10.7717/peerj.7702
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8. Vovk M.I., Kutsyak O.A. Software module for personal diagnostics of motor functions after stroke. Cybernetics and Computer Engineering. 2019, No 4 (198), pp. 62-77.
https://doi.org/10.15407/kvt198.04.062

9. Belova A., Shchepetova O. Scales, tests and questionnaires in medical rehabilitation. Moscow: Antidor, 2002. 440 p. (in Russian)

10. Smychek V., Ponomareva E. Craniocerebral trauma (clinic, treatment, examination, rehabilitation). Minsk: Research Institute of ME and R, 2010. 430 p. (in Russian)

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Received 01.04.2021

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Issue 2 (204), article 4

DOI:https://doi.org/10.15407/kvt204.02.064

Cybernetics and Computer Engineering, 2021, 2(204)

FAINZILBERG L.S.1, DSc. (Engineering), Professor,
Chief Researcher of the Department of Automatic Systems
ORCID: 0000-0002-3092-0794
e-mail: fainzilberg@gmail.com

SOLOVEY S.R.2, Student Faculty of Biomedical Engineering,
e-mail: maximum.lenovo.ml@gmail.com

1International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine,
40, Acad. Glushkova av., Kyiv, 03187, Ukraine,

2The National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»
37, Peremohy av., Kyiv, 03056, Ukraine

SELF-LEARNING INFORMATION TECHNOLOGY FOR DETECTING RESPIRATORY DISORDERS IN HOME CONDITION

Introduction. In connection with the COVID-19 pandemic, it is important to start treatment promptly in case of a threat of developing viral pneumonia in a patient. The solution to this problem requires the creation of new means for detecting respiratory disorders with a minimum probability of “missing the target”. At the same time, it is equally important to minimize visits to medical institutions by healthy patients because of the danger of their contact with possible carriers of coronavirus infections, that is, to minimize the likelihood of a «false alarm».

Purpose of the article is to develop a method that allows a patient to signal at home about the advisability of contacting a medical institution for an in-depth examination of the respiratory system, and to assess the possibility of implementing this method on a smartphone using a built-in microphone.

Methods. A distinctive feature of the proposed approach lies in the construction of a personalized standard of normal respiratory respiration for a particular patient based on self-learning from a finite sample of observations at home and in comparison, based on original computational algorithms of phonospirograms of sound signals of the following observations with the standard.

Results. A prototype of information technology has been developed that will provide home alarms about possible respiratory disorders, requiring consultation with a doctor and the need for an in-depth medical examination.

It is shown that the construction of a personalized standard of normal breathing can be carried out based on the use of a set of original computational procedures for a finite sample of realizations, independently registered by the user using a microphone built into a smartphone. The algorithm for constructing a standard is based on digital processing of a matrix of paired distances between phonospirograms of the final training sample of observations.

Findings. A software application that provides the implementation of the proposed computational procedures can be implemented on a smartphone of average performance running the Android operating system.

Keywords: respiratory noises, intelligent IT, computational procedures, smartphone.

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Received 02.03.2021

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Issue 2 (204), article 3

DOI:https://doi.org/10.15407/kvt204.02.049

Cybernetics and Computer Engineering, 2021, 2(204)

SHEPETUKHA Y.M., PhD (Engineering), Senior Researcher,
Leading Researcher of the Intelligent Control Department
ORCID: 0000-0002-6256-5248
e-mail: yshep@meta.ua

VOLKOV  O.Ye.,
Head of the Intelligent Control Department
ORCID: 0000-0002-5418-6723
email: alexvolk@ukr.net

KOMAR M.M.,
Senior Researcher of Intelligent Control Department
ORCID: 0000-0002-0119-0964
e-mail: nickkomar08@gmail.com

International Research and Training Center for Information Technologies and Systems of NAS of Ukraine and MES of Ukraine,
40, Acad. Glushkov av., Kyiv, 03187, Ukraine

INTELLECTUALIZATION OF DECISION MAKING PROCESSES IN AUTONOMOUS CONTROL SYSTEMS

Introduction. Scientific-technical level of any country in a modern world is mainly determined by a current state and development rate of informational technologies. At the same time, the main avenue of information technologies’ improvement is their intellectualization. Due to intellectualization, it became possible to create advanced systems with principally novel functional capabilities, in particular, high-speed computer systems able to autonomous actions in a complex and dynamic environment. Control means for complex objects and processes play an important role in the operation of autonomous systems. Therefore, the study of theoretical as well as applied issues of such systems’ construction is an important scientific and engineering problem.

The purpose of the paper is to examine both current state and development prospects of a new direction in the area of intelligent information technologies – the elaboration of autonomous control systems for complex objects and processes in a dynamic environment; to formulate a well-grounded approach for the increase in intellectualization level of decision processes in such systems.

Methods. The development of autonomous control systems, as well as the increase in decision making processes’ intellectualization level in such systems, is based on the usage of the following conceptual, theoretical and methodological instruments: the theory of informational technologies’ intellectualization, the methodology of intelligent control, the theoretical fundamentals of artificial intelligence systems’ construction, decision making methods, the methodology of image-based reasoning, methods for simulation of image-based comprehension of environment.

Results. An approach for the consistent usage of methods of artificial intelligence, decision making and intelligent control aimed at the development of autonomous means for the control of complex objects and processes has been examined. Appropriateness of creation of the systems profiled for operations in designated problem domains has been grounded. Both specific features and components of the framework for decision making in intelligent control systems have been determined. Both necessity of the creation of intelligent environment and important role of sensor networks have been stressed. Methodology for the construction of informational images, which represent the most important components of a current situation, has been proposed. Examples of the usage of informational images for performing both dynamic and evolutional re-planning have been considered.

Conclusions. A reasonable way for the development of intelligent control systems is the one that provides a consistent usage of different types of models. Image-based representation of a current situation’s essential interconnections is an efficient instrument for the intellectualization at different stages of decision making processes – alternative generation, understanding of inconsistencies among different data sources, execution of choice procedure, evaluation of results. The application of artificial intelligence elements for decision making in autonomous systems is especially well-grounded in cases of time shortage as well as availability of a great number of existing alternatives.

Keywords: intellectualization of information technologies, intelligent control, decision making, autonomy, artificial intelligence, image, uncertainty, adaptation.

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REFERENCES

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Received 04.04.2021

admin

Issue 2 (204), article 2

DOI:https://doi.org/10.15407/kvt204.02.020

Cybernetics and Computer Engineering, 2021, 2(204)

CHABANIUK V.S.1,2, PhD (Phys.-Math.),
Senior Researcher of the Cartography Department, Institute of Geography,
Director of “Intelligence systems-GEO” LLC,
ORCID: 0000-0002-4731-7895
email: chab3@i.ua, chab@isgeo.kiev.ua

KOLIMASOV I.M.2,
Head of Production of “Intelligence systems-GEO” LLC,
ORCID: 0000-0002-4927-4200
email: kolimasov@ukr.net

KRAKOVSKYI S.P.1,
Junior Researcher of the Cartography Department, Institute of Geography,
ORCID: 0000-0001-5164-6272
email: krakovsp@gmail.com

1Institute of Geography, National Academy of Sciences of Ukraine
44, Volodymyrska str., 01054, Kyiv, Ukraine

2“Intelligence systems-GEO” LLC,
6/44, Mykilsko-Slobidska str., 02002, Kyiv, Ukraine

CRITICAL SYSTEMIC PROPERTIES OF ELECTRONIC ATLASES OF NEW GENERATION. PART 1: PROBLEM AND RESEARCH METHODS

Introduction. The revolutionary changes in information technology of the last two decades allow the construction of electronic atlases (EA), the capabilities of which are fundamentally richer than the capabilities of “classic” EA. This is achieved through the use of the systemic properties of the new generation of EA, which are therefore named systemic. Systemic EA remain the simplest and most effective spatial information models of territorial systems allowing applying them for the decision of many practical problems.

The purpose of the paper is to formulate the need for systemic EA and describe methods for studying their systemic properties. These methods will be used to find and describe critical systemic properties without which EA cannot be systemic.The methods are founded on Relational Cartography and Model-Based Engineering.

Results. The evolution of “classic” EA is considered: from paper atlases and their images to analytical atlases. It is shown that on the imaginary border of classic and nonclassic EA there are already new generation EA — systemic EA. Both the theory and practice of such systemic EA have many unresolved problems. Some of them are described in the article. The authors believe that many problems can be solved by implementing the critical systemic properties of EA. Two methods are used to study the problems and to prove the results: Conceptual frameworks and Solutions frameworks. Both the methods themselves and the possibility of their application to find the critical systemic properties of the new generation of EA are described.

Conclusions. The main problems of electronic atlases of the new generation are described and their solution is offered by a method of Conceptual frameworks and a method of Solutions framework.

Keywords: systemic electronic atlas, Conceptual framework, Solutions framework, critical system property.

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Received 22.03.2021