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DOI:https://doi.org/10.15407/kvt192.03.064

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Issue 3 (193), article 4

Kibern. vyčisl. teh., 2018, Issue 3 (193), pp.

Shakhlina L.Ya.-G.¹, DSc. (Medicine), Professor,
Professor of Sport Medicine cafedra
e-mail: sportmedkafedra@gmail.com

Aralova N.I.², PhD. (Engineering),Senior Researcher,
Senior Researcher of Dept. of Optimization of Controlled Processes
e-mail: aralova@ukr.net

¹National University of Physical Education and Sport of Ukraine
Fiscultury Street, 1, Kiev, 03150, Ukraine

²Institute of Cybernetics of National Academy of Science of Ukraine, Acad.Glushkov av., 40, Kiev, 03187, Ukraine

FORECASTING THE ORGANISM REACTION OF THE ATHLETES ON INHIBITING HYPOXIC MIXTURES ON THE MATHEMATICAL MODEL OF THE FUNCTIONAL RESPIRATION SYSTEM

Introduction. In the modern sports of higher achievements, the issues of training and competitive activity of athletes using the hypoxic factor in natural-mountain conditions or with artificial hypoxic training with the use of pressure chambers or hypoxicators continue to attract great interest among specialists in the field of physiology, medicine, sports pedagogy. The influence of reproductive hormones on the functional breathing system responsible for the aerobic capacity of the female body remains insufficiently studied. There are no scientifically substantiated programs for training athletes, mainly developing the quality of endurance, in conditions of hypoxic hypoxia, taking into account the phases of the menstrual cycle.

The purpose of the article is to determine the reaction of the functional breathing system and to reveal the degree of tissue hypoxia in athletes when inhaled hypoxic gas mixture with 11% oxygen in different phases of the menstrual cycle.

Results. On the mathematical model of the functional breathing system, based on physiological examination data, an imitation of a hypoxic mixture with athletes was performed with athletes of 11% oxygen in different phases of the menstrual cycle. The partial pressures and voltages of oxygen in alveolar air, arterial and mixed venous blood, heart, brain and skeletal muscle tissues were calculated. Numerical experiments were also performed with the replacement of the real values of the minute volume of respiration and the minute volume of blood in the corresponding phases of MC for adaptation processes in other phases of the cycle.

Conclusions. The results of the prediction on the mathematical model of the respiratory system of the athlete’s reactions to the inhalation of hypoxic mixtures testify to the specificity of functional self-regulation and, consequently, the adaptive capabilities to the hypoxia of the female body during cyclic changes in the hormonal status in different phases of the menstrual cycle. The results of preliminary studies show that under hypoxic conditions, as a result of inhalation of a gas mixture with 11% oxygen without a compenetration increase in pulmonary ventilation and systemic circulation, the oxygen tension in the body tissues may be below the critical level and with different degrees of expression in different phases of the MC, which is confirmed by the presented results of calculation on a mathematical model of oxygen tension in the studied tissues.

The obtained results testify to the need for further study of the individual reactions of the organism of athletes in conditions of hypoxia for the scientific substantiation of sports training for women taking into account the biological characteristics of their organism.

Keywords: mathematical model of the functional breathing system, training process of athletes, interval hypoxic training, phases of the menstrual cycle, functional self-organization of the organism

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Received 04.05.2018

DOI:https://doi.org/10.15407/kvt192.03.043

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Issue 3 (193), article 3

Kibern. vyčisl. teh., 2018, Issue 3 (193), pp.

Vovk M.I., PhD (Biology), Senior Researcher,
Head of Bioelectrical Control & Medical Cybernetics Dep.
e-mail: vovk@irtc.org.ua; imvovk3940@gmail.com

Galyan Ye.B., PhD (Engineering), Researcher,
Bioelectrical Control & Medical Cybernetics Dep.
e-mail: galian@irtc.org.ua

Kutsyak A.А., PhD (Engineering), Researcher,
Bioelectrical Control & Medical Cybernetics Dep.
e-mail: spirotech85@ukr.net

Lauta A.D., PhD (Medicine), Senior Researcher,
Bioelectrical Control & Medical Cybernetics Dep.
e-mail: dep140@irtc.org.ua

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

FORMATION OF INDIVIDUAL COMPLEX OF CONTROL ACTIONS FOR MOTOR AND SPEECH REHABILITATION AFTER A STROKE

Introduction. At present, one of the leading directions in the healthcare system is an individual approach to treatment. Restoration of movements and oral speech after a stroke suggests the formation of an individual complex of control actions – programs, techniques for general limb movements, fine motor hand training to reduce the deficit of motor and speech functions acquired as a result of pathology.

The purpose of the article is to determine on the basis of which algorithms, the informative criteria for estimating the deficit of motor and speech functions, as well as rules to be solved, an individual set of movements, programs and training schedule to restore motor and speech functions after a stroke are formed.

Results. A general and additional algorithms for the formation of an individual complex of control actions for motor and speech functions rehabilitation after a stroke have been developed. According to the algorithms, the patient is tested for general and specific contraindications to the use of muscle electrical stimulation and / or biofeedback training, quantitative assessment of motor and speech functions, muscle tonus according to new original techniques, verification of limitations to the application of programs and the duration of training. Additional algorithms are designed taking into account both hyper- and hypotonic parameters. A special feature of these algorithms is the introduction of additional restrictions, for which intervals of muscle tone values are formed.

Decision rules have been developed using the algebra of predicates, logical variables corresponding to the specified criteria and indicators. According to these rules, in each stage of rehabilitation, a set of movements and training programs recommended by priority (“Synthesis”, “Donor”, “Threshold”, “Biofeedback” according to TRENAR^® technology) and their schedule are determined in binary form.

Conclusions. The considered approach to the formation of an individual complex of control actions for movement and speech rehabilitation after a stroke is the theoretical basis to synthesize the mobile information technology of digital medicine for assistance the physician in diagnosing and carrying out individual rehabilitation of motor and speech functions after a stroke.

Keywords: stroke, movement, speech, rehabilitation, quantitative assessment, algorithm, decision rules, individual control actions, programs, electrical muscle stimulation, biofeedback training.

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1.    Vovk M.I. New opportunities for movement and speech rehabilitation. Kibernetika i vyčislitel’naâ tehnika. 2016. Iss.186. P. 78–93 (in Russian).
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Received 4.06.2018

DOI:https://doi.org/10.15407/kvt192.03.027

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Issue 3 (193), article 2

Kibern. vyčisl. teh., 2018, Issue 3 (193), pp.

Antomonov M.Y., DSc (Biology), Professor,
Chief Researcher of the Laboratory of Epidemiological Research and Medical Informatics
e-mail: antomonov@gmail.com
State Institution “O.M. Marzіeiev Institute for Public Health of the National Academy of Medical Sciences of Ukraine”, 50, Popudrenko str. Кyiv, 02660

INFORMATION TECHNOLOGY FOR CONSTRUCTING THE COMPOSITE INDICES FOR DATA OF DIFFERENT TYPES USED IN MEDICAL AND ENVIRONMENTAL STUDIES

Introduction. Information technologies used in medical and environmental researches often deal wiht huge amounts of information processing. These technologies allow us to identify and investigate previously hidden dependencies and interactions in complex environmental, medical and biological systems, and on the other hand, it is accompanied by the analysis of large data sets, some of which (sometimes most of them) have an uninformative (noisy) character. One of the ways of solving this problem are the methods of constructing composite indices (CI), i.e. complex indicators, which allow to perform an integral assessment of the state and functioning of ecological, medical and biological systems.

The purpose of the paper is to develop a generalized information technology for constructing composite indices for different types of data used in medical and environmental studies.

Results. Medical and ecological researches include two main components: analysis of the states of both human health and of the environment; in solving such problems it is necessary to evaluate and analyze the state of the bioobject according to the data of different types: quantitative, rank, binary and qualitative variables. The developed general information technology is oriented on supporting the solution of a wide range of medical and hygienic tasks and integrates various approaches to processing and analysing of data of different types. Proposed technology consists of four stages: the formation and initial analysis of an initial indicators set, the calculation and normalization for obtainig unnamed equivalents, the actual design of the composite indices, and their verification. The implementation of this technology makes it possible to compare data of different dimensions, determine the significance of specific characteristics in a general research totality, to evaluate the integral state and to classify the research objects.

Conclusion. The proposed information technology for the construction of composite indices based on data of different types: quantitative, rank, binary and qualitative variables, is an effective tool for determining and comparing the state of bioobjects of different nature, and its use makes it possible to avoid mistakes in the incorrect application of mathematical methods for processing medical and ecological information.

Keywords: information technology, composite indicators, processing medical and ecological quantitative, rank, binary and qualitative variables.

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Resieved 11.06.2018

DOI:https://doi.org/10.15407/kvt192.03.005

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Issue 3 (193), article 1

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Revunova E.G., Ph.D. (Engineering),
Senior Researcher Department of Neural Information Processing Technologies
e-mail: egrevunova@gmail.com

Rachkovskij D.A., DSc. (Engineering),
Leading Researcher, Department of Neural Information Processing Technologies
e-mail: dar@infrm.kiev.ua

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,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine

RANDOM PROJECTION AND TRUNCATED SVD FOR ESTIMATING DIRECTION OF ARRIVAL IN ANTENNA ARRAY

Introduction. The need to solve inverse problems arises in many areas of science and technology in connection with the recovery of the object signal based on the results of indirect remote measurements. In the case where the transformation matrix has a high conditional number, the sequence of its singular numbers falls to zero, and the output of the measuring system contains noise, the problem of estimating the input vector is called discrete ill-posed problem (DIP). It is known that the DIP solution using pseudoinverse of the input-output transformation matrix is unstable. To overcome the instability and to improve the accuracy of the solution, regularization methods are used.

Our approaches to ensuring the stability of the DIP solution (truncated singular decomposition (TSVD) and random projection (RP)) use the integer regularization parameter, which is the number of terms of the linear model. Regularization with an integer parameter makes it possible to provide a model close to the best in terms of the accuracy of the input vector recovery, and also to reduce the computational complexity by reducing the dimensionality of the problem.

The purpose of the article is to develop an approach to estimating the direction of arrival of signals in the antenna array using the DIP solution, to compare the results with the well-known MUSIC method, to reveal the advantages and disadvantages of the methods.

Results. Comparison of TSVD and MUSIC (implemented in real numbers) when working with correlated sources and five snapshots showed the advantage of TSVD in terms of the power of the useful signal P_ratio by 2.2 times with the number of antenna elements K = 15 and by 4.7 times with K = 90. The advantage of TSVD in P_ratio is by 3.7 times for K = 15 and by 4.2 times for K = 90. Comparison of RP and MUSIC (implemented in real numbers), when working with correlated sources and five snapshots, showed the advantage of RP in P_ratio by 3 times at K = 15 and by 4.4 times at K = 90. When working with 100 snapshots, the advantage of RP in P_ratio is by 3.8 times for K = 15 and by 4.2 times for K = 90.

Conclusions. The approach to determining the direction of arrival based on the l₂-regularization methods provides a stable solution in the case of a small number of snapshots, high noise and correlated source signals. Methods of determining the direction of arrival based on l₂-regularization, in contrast to l₁-regularization, do not impose restrictions on the properties of the input-output transformation matrix, do not require a priori information on the number of signal sources, allow constructing efficient hardware implementations.

Keywords: Direction of arrival estimation, truncated singular value decomposition, random projection, MUSIC.

September 13, 2018September 24, 2018

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41.   Kleyko D., Rahimi A., Rachkovskij D., Osipov E., Rabaey J. Classification and recall with binary hyperdimensional computing: Tradeoffs in choice of density and mapping characteristics. IEEE Trans. Neural Netw. Learn. Syst. 2018.
42.   Kleyko D., Osipov E. On bidirectional transitions between localist and distributed representations: The case of common substrings search using vector symbolic architecture. Procedia Computer Science. 2014. Vol. 41. P. 104–113.
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44.   Räsänen O.J., Saarinen J.P. Sequence prediction with sparse distributed hyperdimensional coding applied to the analysis of mobile phone use patterns. IEEE Trans. Neural Netw. Learn. Syst. 2016. Vol. 27, N 9. P. 1878–1889.
45.   Slipchenko S. V., Rachkovskij D.A. Analogical mapping using similarity of binary distributed representations. Int. J. Information Theories and Applications. 2009. Vol. 16, N 3. P. 269–290.
46.   Kanerva P. Hyperdimensional computing: An introduction to computing in distributed representation with high-dimensional random vectors. Cogn. Comput. 2009. Vol. 1, N 2. P. 139–159.
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48.   Gritsenko V.I., Rachkovskij D.A., Goltsev A.D., Lukovych V.V., Misuno I.S., Revunova E.G., Slipchenko S.V., Sokolov A.M., Talayev S.A. Neural distributed representation for intelligent information technologies and modeling of thinking. Kibernetika i vyčislitel’naâ tehnika. 2013. Vol. 173. P. 7–24. (in Russian).
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59.   Ramakrishnan S., Demarcus V., Le Ny J., Patwari N., Gussy J. Synthetic aperture radar imaging using spectral estimation techniques. Technical Report. University of Michigan, 2002. 34 p.

Received 15.05.2018

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Issue 3 (193)

DOI:https://doi.org/10.15407/kvt193.03

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TABLE OF CONTENTS:

Informatics and Information Technologies:
Revunova E.G., Rachkovskij D.A.
Random Projection and Truncated SVD for Estimating Direction of Arrival in Antenna Array

Antomonov M.Y.
Information Technology for Constructing the Composite Indices for Data of Different Types Used in Medical and Environmental Studies

Intellectual Control and Systems:

Vovk M.I., Galyan Ye.B., Kutsyak A.А., Lauta A.D.
Formation of Individual Complex of Control Actions for Motor and Speech Rehabilitation after a Stroke

Medical and Biological Cybernetics:

Shakhlina L.Ya.-G., Aralova N.I.
Forecasting the Organism Reaction of the Athletes on Inhibiting Hypoxic Mixtures on the Mathematical Model of the Functional Respiration System

Kiforenko S.I., Hontar T.M., Ivaskiva K.Y., Obelets T.A.
Informational Decision Support System for Monitoring and Correcting Somatic Health

DOI:https://doi.org/10.15407/kvt192.02.084

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Issue 2 (192), article 6

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Zlepko S.M.¹,
D.Sc. (Engineering), Professor,
Head of the Department of Biomedical Engineering
e-mail: smzlepko@ukr.net
Chernyshova T.A.², Doctor
e-mail: tetyana.che@gmail.com
Maevsky O.E.³, Dr (Medical), Professor,
Head of the Department of Histology
e-mail: maevskyalex8@gmail.com
Krivonosov V.E.⁴, docent,
Department of Biomedical Engineering
e-mail: yhtverf007@ukr.net
Azarkhov O.Y., Dr (Medical), Professor,
Head of the Department of Biomedical Engineering
e-mail: azarhov55@mail.ru

¹Vinnytsia National Technical University,
Khm. highway 95, 21021, Vinnytsia, Ukraine
²Medical Center of National Aviation University,
Cosmonaut Komarov ave., 1, 03058, Kyiv, Ukraine
³Nicholay Pirogov Vinnitsa National Medical University,
Pyrohova str, 56, 21000, Vinnytsia, Ukraine
⁴Priazovsky State Technical University,
Universytetska str, 7, 87500, Mariupol, Ukraine

INFORMATION TECHNOLOGY OF DETERMINING CIRCULAR TUMOR CELLS IN HUMAN BLOOD

Introduction. The development of information systems and technologies for the processing of medical images of cells obtained in the study of histological preparations is one of the most important and priority directions of modern medical science.
The purpose of the article is to detect the CPR at various localizations of malignant neoplasms is currently one of the topical issues in oncology.
Results. A distinctive feature of the CPR is the aggressive metastatic potential, which allows them to be considered as the main mechanism of tumor progression. The article describes the methods of detecting the CPC, the functions and operations of image processing. The modern methods and algorithms for processing and restoring biomedical images are analyzed. The work of information technology for the determination of circulating tumor cells in human blood is given step by step. A comparison of the developed technology and existing analogues is made.
Conclusions. Unlike the existing technology, it detects a 4-micromycle GPC in the study of blood samples from patients with micellar lung cancer. The doctor, thus, received an automatic technology for the determination of the CPP in peripheral or venous blood with high reliability and informativeness, with maximum preservation of the integrity and invulnerability of circulating tumor cells. The analysis of literary sources and their own clinical studies have confirmed that only technologies based on the ISET method allow the detection of very rare circulating trophoblast cells of the fetus from the mother’s blood.

Keywords: technology, circulating tumor cell, medical image, histology, treatment, definition, criterion.

REFERENCES

1 Lukashevich M.M., Starovoytov V.V. Method of counting the number of cell nuclei on medical histological images. System analysis and applied informatics. 2016. No 2. P. 37–42. URL: https://cyberleninka.ru/article/n/metodika-podscheta-chisla-yader-kletok-na-meditsinskih-gistologicheskih-izobrazheniyah (Last accessed: 15.05.2018) (in Russian).

2 Determination of CSC content in peripheral blood in patients with primary generalized breast cancer at the treatment stages. URL: https://www.science-education.ru/ru/article/view?id=22788 (Last accessed: 15.05.2018) (in Russian).

3 Kagan M., Howard D., Bendele T., Mayes J., Silvia J., Repollet M., Doyle J. A Sample Preparation and Analysis System for Identification of Circulating Tumor Cells. Journal of Clinical Ligand Assay. 2002. V. 25, N 1. P. 104–110.

4 Vona G., Sabile A., Louha M., Sitruk V., Romana S., Schutze K., Capron F. Isolation by size of epithelial tumor cells?: a new method for the immunomorphological and molecular characterization of circulatingtumor cells. The American journal of pathology. 2000. V. 156, N 1. P. 57–63. https://doi.org/10.1016/S0002-9440(10)64706-2

5 Hayes G., Busch R., Voogt J., Siah I., Gee T., Hellerstein M., Chiorazzi N. Isolation of malignant B cells from patients with chronic lymphocytic leukemia (CLL) for analysis of cell proliferation: validation of a simplified method suitable for multi-center clinical studies. Leukemia research. 2010. V. 34, N 6. P. 809–815. https://doi.org/10.1016/j.leukres.2009.09.032

6 Pavlov A.Yu., Gafanov R.A., Tsibulskiy A.D., Fastovets S.V., Kravtsov I.B., Isaev T.K. The role of evaluation of circulating tumor cells in prostate cancer: diagnosis and dynamic observation. RMJ. 2016. No 8. P. 480–487 (in Russian).

7 Cell Search. URL: https://www.cellsearchctc.com/ (Last accessed: 25.04.2018)

8 Babyuk N.P. Method and system of estimation of dynamic changes of biomedical images in ophthalmology. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2016, 24 p. (in Ukrainian

9 Hou JM, Krebs MG, Lancashire L, Sloane R, Backen A, Swain RK, ct al. Clinical significance and molecular characteristics of circulating tumor cells and circulating tumor microemboli in patients with small-cell lung cancer. J Clin Oncol. 2012. No. 30(5). P. 525–532.

10 Ma YC, Wang L, Yu PL. Recent Advances and Prospects in the Isolation by Size of Epithelial Tumor Ceils (ISET) Methodology. Technol Cancer Res Treat. 2012. No. f 2(4). P. 295–309.

11 Farace F, Massard C, Vimond N, Drusch F, Jacques N, Billiot F, el al. A direct comparison of CellSearch and ISET for circulating tumour-cell detection in patients with metastatic carcinomas. Br J Cancer. 2011. No. 105(6). P. 847–853.

12 Mouawia H, SakerA, Jais JP, Benachi A, Bussieres L, LacourB,el al. Circulating trophoblastic cells provide genetic diagnosis in 63 fetuses at risk for cystic fibrosis or spinal muscular atrophy. Reprod Blamed Online. 2012. No. 25(5). P. 503–520.

13 Burdenyuk I.I. Information technology for decision-making support in the analysis of biomedical data. Thesis, PhD (Engineering), Vinnitsia, VNTU, 2010. — 19 p. (in Ukrainian).

14 Ismailova G., Laget S., Paterlini-Brechot P. Diagnosis of circulatig tumor cells using ISET technology and their molecular characteristics for fluid biopsy: URL: https://cyberleninka.ru/article/n/diagnostika-tsirkuliruyuschih-opuholevyh-kletok-s-pomoschyu-tehnologii-iset-i-ih-molekulyarnaya-harakteristika-dlya-zhidkostnoy. (Last accessed: 13.05.2018) (in Russian).

15 15. Ledov V.K., Skrinnikova M.A., Popova O.P. Isolation of Circulating Tumor Cells by Isolated Size (ISET) (Overview). Vice versa Oncology. 2014. No 60(5). P. 548–552. (in Russian).

16 16. Cytological diagnosis of breast cancer URL: http://mastopatia.com/tsitologicheskaya-diagnostika-raka-molochnoy-zhelezi.html (Last accessed: 05.2018) (in Russian).

17 Sensitivity and specificity of diagnostic research URL: http://www.ebm.org.ua/clinical-epidemiology/testing/sensitivity-specificity/ (Last accessed: 20.05.2018) (in Russian).

18 18. MedovyiyS., Pyatnitskiy A.M., Sokolinskiy B.Z. Innovative project Development of a complex of automated microscopy, its cloud functional, Internet resource of laboratory telemedicine for medical analysis of biomaterials (MECOS-CZ). Innovation and examination. Is. 2(9), 2012, s. 50–64. (in Russian).

19 Ablameyko S.V., Nedzved A.M. Processing of optical images of cellular structures in medicine. Minsk, 2005. 156 p. (in Russian).

20 Chernyshova T.A, Zlepko S.M., Timchik S.V., Krivonosov V.Ye., Zlepko O.S. Information system for obtaining and processing microscopic images of circulating tumor cells (CPC). Achievements of clinical and experimental medicine. 2017. No 4 (32). P. 39–46.

21 Chernishova T.A., Zlepko S.M., Azarkhov O.Yu., Danilkov S.O., Krivonosov V.Ye., Baranovskyi D.M. Medical Informatics and Engineering: Sciences. Pract. Journal 2017. No 4 (40). P. 30–35. (in Ukrainian).

Received 03.04.2018

DOI:https://doi.org/10.15407/kvt192.02.072

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Issue 2 (192), article 5

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Rysovana L.M.¹,
Assistant,
Department of Medical and Biological Physics and Medical Informatics
e-mail: rluba_24@ukr.net
Vуsotska O.V.²,
Dr (Engineering), Professor,
Professor of the Department of Information Control Systems
e-mail: evisotska@ukr.net
¹Kharkov National Medical University,
Nauky ave., 4, 61022, Kharkiv, Ukraine
²Kharkov National University of Radio Electronics,
Nauky ave., 14, 61166, Kharkiv, Ukraine

INFORMATION SYSTEM OF DETECTION OF EMOTIONAL AND COGNITIVE DISORDERS IN PATIENTS WITH DISCIRCULATORY ENCEPHALOPATHY

Introduction. In modern conditions, there are topical issues of studying the mechanisms of formation and specificity of clinical manifestations of discirculatory encephalopathy in the able-bodied population. A large number of interrelated indicators that characterize emotional and cognitive disorders, the analysis of which requires the use of mathematical methods and software, determined the need to develop an information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy.
The purpose of the article is to develop a medical information system for the detection of emotional and cognitive disorders in patients with discirculatory encephalopathy, which increases the accuracy of diagnosis.
Materials and methods. The article uses mathematical statistics methods for processing diagnostic information; methods of mathematical modeling for constructing mathematical models for detecting the likelihood of emotional disorders and identifying and determining the severity of cognitive disorders in patients with discirculatory encephalopathy; methodical bases of construction of information technologies in medicine at construction of information system of revealing emotional and cognitive disorders in patients with discirculatory encephalopathy.
Results. During the writing of the article, a method was developed for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, including the definition of the likelihood of emotional disorders, the exposure vector for psychocorrection, the detection of cognitive disorders and determining their severity, and predicting the further development of cognitive disorders. A structural diagram of the medical information system “СognitiveDE” has been developed, which determines the composition and purpose of its main modules, and has allowed to develop a methodological basis for describing the interaction of the elements of the biological and technical subsystems. The software of the medical information system “СognitiveDE” was verified, which showed the compliance of the results of the individual stages of the system development with the requirements and restrictions formulated for them.
Conclusions. Using the developed method for detecting emotional and cognitive disorders in patients with discirculatory encephalopathy, based on developed mathematical models for determining the likelihood of emotional disorders and determining the severity of cognitive disorders, allows correctly diagnosing emotional and cognitive disorders.
The presented medical information system can be used by doctors of the neurological and psychiatric departments and medical psychologists to improve the accuracy and reduce the time of diagnosis of emotional and cognitive disorders.

Keywords: medical information system, assessment method, cognitive and emotional disorders, discirculatory encephalopathy.

REFERENCES

Vysotskaya E.V., Kоzhina А.М., Risovanaya L.M., Chaika H.E. Application of discriminant analysis for the classification of cognitive disorders in patients with discirculatory encephalopathy. Information processing system, 2013, Vol. 9, pp. 189–193. (In Russian).
Kоzhina А.М., Grigorova І.А., Korosty V.І. and others. Organic mental disorders due to somatic diseases: cognitive and emotional disorders. Kharkov: Ukraine Rarities, 2012, 120 p. (In Ukrainian).
Aleksandrovsky Y.A., Shchukin B.P. Psychological disorders during and after natural disasters and disasters. Journal of Neuropathology and Psychiatry, 1991, Vol. 5, pp. 39–43. (In Russian).
Bleicher V.M., Krook I.V., Bokov S.N. Clinical Pathopsychology. Moskow, 2002,
511 pp. (In Russian).
Miroshnikov S.A. Expert system Longitude. The experimental and diagnostic complex (EDC). SPb: Lema, 2010, 196 pp. (In Russian)
Altamirov S.A. Application of information technology in the activities of a psychiatrist. Young Scientis, 2016, Vol. 29, pp. 200–203. (In Russian).
Aimedica. General information. http://aimedica.ru/info.jsp. (In Russian).
Kan L.V., Kuznetsova Y.M., Chudova N.V. Expert systems in the field of psychodiagnostics. Artificial Intelligence and Decision Making, 2010, Vol. 2, pp. 26–35. (In Russian).
Rysovana L., Vysotska O., Porvan A., Alekseenko R. Family Crisis Investigation on the Basis of Regression Analysis. The problems of empirical research in psychology and humanities: Roland Barthes VIII International Scientific Conference. Europejskie Studia Humanistyczne: państwo i społeczeństwo. Krakow, 2016, Vol. 2, p. 83–91.
Nechaeva G.I., Achmedov V.A., Bereznikov A.V. and others. Methodical approaches to the expert evaluation of the quality of therapeutic care for chronic cholecystitis. Therapeutic archive, 2010, Vol. 1, pp. 12–15. (In Russian).
Watson A., McCabe T. Structured Testing: A Testing Methodology Using the Cyclomatic Complexity Metric. URL: http://www.mccabe.com/pdf/mccabe-nist235r.pdf. (Last accessed: 10.11.2017) 1996.

Received 26.02.2018

DOI:https://doi.org/10.15407/kvt192.02.061

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Issue 2 (192), article 4

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Buzynovsky А.B.¹,
PhD student,
e-mail: arturdoc1983@ukr.net
Kovalenko A.S.¹,
D.Sci. (Medicine), Professor,
Head of Medical Information Systems Department
e-mail: alexkovalenko@yandex.ua
Bayazitov N.R.²,
D.Sci. (Mdicine),
Professor at the Surgery Department
e-mail: ics_video@ukr.net
Godlevsky L.S.²,
D.Sci. (Medicine), Professor,
Chief of the Department of Biophysics, Informatics and Medical Devices
e-mail: godlevskyleonid@yahoo.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,
Acad. Glushkova av., 40, Kiev, 03187, Ukraine
²Odessa National Medical University,
Valekhovsky Lane, 2, Odessa, 65082, Ukraine

THE EFFECTIVENESS OF SURGEON DECISION ON PAIN SYNDROME OF PELVIC ORIGIN TREATMENT IN WOMEN ESTIMATED WITH THE MODEL OF DECISION TREE

Introduction. The problem of correct diagnostics with the decision on the consequent adequate treatment of diseases which are causative for pelvic pain syndrome in women is actual for 15–24% women of fertile age.
The purpose of the work is to investigate the effectiveness of different methods of treatment women with pain syndrome originated from pelvis and lower part of abdomen on the basis of retrospective analysis of 1092 histories of diseases during 2013–2017 р.р.
Methods. Method of decision tree building up was used. The probability of different outcomes — restoration of health, recurrence of the disease along with the perioperative complications as well as duration of treatment in each case were taken into consideration as informative indices for decision tree composing. On the basis of mentioned data the index of effective period of treatment (EPT) was calculated. Period of observation was six months from the moment of disease diagnostics.
Results. It was established that the probability of complete health restoration was 0,83 after surgical treatment and 0,62 after drug treatment. In case of initial inefficiency of drug treatment the probability of restoration of health as a result of surgical intervention was 0,40. The EPT in surgically treated patients was less than EPT in patients with therapeutic treatment by 3,29 times at the moment of making decision on the method of treatment.
Conclusions. It was concluded that early decision on surgical intervention as a method of diagnostics and treatment was more effective when compared with the drug method of treatment women with pelvic pain syndrome. Dependence of the treatment effects upon perioperative complications serve as forecasting data for individual medical care delivered during postoperative period.

Keywords: tree of decision, undertaking of decision in surgery, pain syndrome, the effectiveness of treatment estimation.

REFERENCES

1 Lyashenko A.V., Bayazitov N.R., Godlevsky L.S. et al. Informational-technical system for automatized laparoscopic diagnostics. Radioelectronics, computer sciences and control. 2016. No 4. P. 90–96. (in Ukrainian).

2 Egorov A.A., Mikshina V.S. The models of surgeon decision. Letters on New Medical Technologies, 2011, Vol. 7, No4. P. 178–81. (in Russian)

3 Litvin A.A., Litvin V.A. Systems of decision support in surgery. News of Surgery, 2014. No 1. P. 96–100. (in Russian)

4 Kucey D.S. Decision analys is for the surgeon. World J.Surg, 1999. Vol. 23. P. 1227–1231. https://doi.org/10.1007/s002689900653

5 Sears E.D., Chung K.C. Decision analysis in plastic surgery: A Primer. PlastReconstrSurg. 2010. Vol. 126, N4. P. 1373–1380. https://doi.org/10.1097/PRS.0b013e3181ead10a

6 Ozerskaya I.A., Ageeva M.I. Chronic pelvic pain in women of fertile age. Ultrasonic diagnostics. Moscow 2009. 299 p. (in Russian)

7 Kiryanov B.F., Tokmachov M.S. Mathematical models in health care: text-book. Novgorod, 2009. 279 p. (in Russian)

8 Rudenko S.V., Romanenko M.V., Katunina O.G., Kolesnikova E.V. Markov models of patients state changes in projects of delivering medical service. Control of complicated systems development. 2012. No12. P. 86–89. (in Ukrainian)

9 Detsky A.S., Nagile G., Krahnetal M.D. Primer on medical decision analysis: Part 2. Building a tree. MedDecis Making. 1997. 7. P. 126–135. https://doi.org/10.1177/0272989X9701700202

10 Breiman L., Friedman J.H., Olshen R.A., Stone C.J. Classification and regression trees. Monterey, CA 1984. 368 p.

Reseived 12.10.2017

DOI:https://doi.org/10.15407/kvt192.02.044

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Issue 2 (192), article 3

Kibern. vyčisl. teh., 2018, Issue 2 (192), pp.

Zhiteckii L.S.,
PhD (Engineering),
Acting Head of the Department of Intelligent Automatic Systems
e-mail: leonid_zhiteckii@i.ua
Solovchuk K.Yu.,
PhD Student
e-mail: solovchuk_ok@ukr.net

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

ADAPTIVE STABILIZATION OF SOME MULTIVARIABLE SYSTEMS WITH NONSQUARE GAIN MATRICES OF FULL RANK

Introduction. The paper states and solves a new problem concerning the adaptive stabilization of a specific class of linear multivariable discrete-time memoryless systems with nonsquare gain matrices at their equilibrium states. This class includes the multivariable systems in which the number of outputs exceeds the number of control inputs. It is assumed that the unknown gain matrices have full rank.
The purpose of this paper is to answer the question of how the pseudoinverse model-based adaptive approach might be utilized to deal with the uncertain multivariable memoryless system if the number of control inputs is less than the number of outputs.
Results. It is shown that the parameter estimates generated by the standard adaptive projection recursive procedure converge always to some finite values for any initial values of system’s parameters. Based on these ultimate features, it is proved that the adaptive pseudoinverse model-based control law makes it possible to achieve the equilibrium state of the nonsquare system to be controlled. The asymptotical properties of the adaptive feedback control system derived theoretically are substantiated by a simulation experiment.
Conclusion. It is established that the ultimate behavior of the closed-loop control system utilizing the adaptive pseudoinverse model-based concept is satisfactory.

Keywords: adaptive control, multivariable system, discrete time, feedback, pseudoinversion, stability, uncertainty.