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Issue 1 (187), article 6

DOI: https://doi.org/10.15407/kvt187.01.080

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.80-96

Kiforenko S.I., leading researcher at the Department of mathematical and technical methods in biology and medicine
e-mail: skifor@ukr.net

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine

HIERARCHICAL MODELING — THE BASIS OF TECHNOLOGY OF PRECLINICAL TESTING OF GLYCEMIC LEVEL CONTROL ALGORITHMS

Introduction. In recent years there have been fundamental changes in the understanding of the requirements for the possibilities of using mathematical models. Now the model can not be seen as a self-contained object of research but as well as an element of integrated formulation of task management. Thereby it becomes information technology tool to solve this problem. It is possible to use the simulation results not only to solve control problems, but also for wider use — in the development of information systems support decision making in medical treatment and diagnostic process.

The purpose of the article is to summarize the experience in the development of hierarchical modeling technology of the system regulation of blood glucose using models different levels of complexity in a single technological cycle.

Methods. Structural and functional modeling, hierarchical modeling, methods of synthesis of mathematical models, methods for parameter identification and verification of models, methods of control theory.

Results. On the example of the regulation of blood glucose system is developed hierarchical modeling technology, based on the simultaneous use in a single technological cycle mathematical models of various levels of complexity: MAX, MIDI, MINI. The first type — a high level of complexity of the model — MAX-model — the closest to the modern ideas about the laws regulating the functioning of the system — used to simulate the object of research. The second type — these are more simple models of research object — MIDI model, — are used for the synthesis of control actions and fulfil the prediction function. The third type — the models are still at a lower level of complexity. — MINI model. Differential equations of these models have the analytical solutions and therefore it can possibly to calculate the control actions and functions of the forecast for calculation formulas.

Conclusions. This arrangement extends the range of simulation tasks and allows to analyze, at the stages of theoretical research and pre-clinical testing, the various aspects of the synthesis and test the effectiveness of the control algorithms that are relevant in diabetology.

Keywords: hierarchical simulation, system regulation of blood glucose, control algorithms, preclinical testing.

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REFERENCE

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15 State and prospects of development of science in Ukraine (group of authors). Kiev: Nauk.dumka, 2010. 1008 p. (In Russian)

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https://doi.org/10.1007/BF02363452

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https://doi.org/10.1109/TBME.1983.325203

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https://doi.org/10.1109/TBME.1985.325499

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https://doi.org/10.1016/0025-5564(84)90113-5

25 Lapta S.I., S.S. Lapta. Functionally-phenomenological model of oral glucose-tolerance test. Problems of bionics. 2000. No 52. P. 52–57 (In Russian).

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Recieved 30.12.2016

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Issue 1 (187), article 5

DOI: https://doi.org/10.15407/kvt187.01.067

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.67-80

Kovalenko A.S., Dr Medicine, Prof., Head of Department of Medical Information Systems
e-mail: askov49@gmail.com
Kozak L.M., Dr Biology, Leading Researcher of Department of Medical Information Systems
e-mail: lmkozak52@gmail.com
Romanyuk O.A., Junior Researcher of Department of Medical Information Systems
e-mail: ksnksn7@gmail.com

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine

INFORMATION TECHNOLOGY FOR DIGITAL MEDICINE

Introduction. The need of health care institutions in the repeated use of digital medical images by different specialists during patient care and long-term storage for the analysis of diagnostic information determines the relevance of this work. The need for means and methods of storage of digital medical data with their subsequent processing and analysis, as well as on mobile devices for the collection, digital data processing and exchange increase.

The purpose of the article is to analyze the experience of creating medical information systems, the development of information technology support the storage and processing of digital medical information and the further development of information technology for digital medicine.

Results. Employees of the department of medical information systems for more than 20 years of activities of the International Research and Training Centre for Information Technologies and Systems NAS and MES of Ukraine solved the problem of constructing the medical information systems and information diagnostics technologies with the use of electronic medical records, methods and means of the mathematical analysis of medical data. The developed technology support for storing and processing digital medical information combines into a single functional network the medical information system, instrumental diagnostic systems and a system of conservation and archiving digital medical images. PACS and cloud technologies was used for long-term storage of digital medical images.

Conclusion. Organization of long-term storage of digital medical images obtained from the diagnostic systems in health care facilities, and the ability to use this information by doctors at their workplace in the current diagnostic and treatment process was provided by using the developed information technology support for storing and processing digital medical information.

Keywords: medical information system, information technology, digital medical imaging, long-term storage.

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Issue 1 (187), article 4

DOI: https://doi.org/10.15407/kvt187.01.049

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.49-67

Vovk M.I., PhD (Biology), Senior Researcher, Head of Bioelectrical Control & Medical Cy-bernetics Department
e-mail: dep140@irtc.org.ua

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine

BIOENGINEERING SYSTEMS FOR HUMAN MOTOR FUNCTIONS CONTROL

Introduction. Movement training is one of the main factors to mobilize person’s reserves for movement restoration

The purpose of the article is to present the results of theoretical and applied researches focused on synthesis of information technologies for human motion control based on bioengineering systems as external control circuits.

Results. The evolution of bioengineering systems for motor control — multichannel electronic devices “Mioton-2”, “Mioton-3M”, “Mioton-604”, “Miokor”, adaptive device “Miostimul” and a new class of portable electronic devices of digital medicine for personal, biologically adequate, motor control “TRENAR®” are considered. Special EMG — signals processing and its transformation into informative visual and sound signals, that describe muscle contractions are used to develop different programms for muscle control. These programs based on different methods of muscle electrical stimulation and biofeedback are aimed on activaton of additional brain reserves to restore motor functions. New method and technology to restore motor speech, based on original technique of fine motor hand training by the technology “Trenar” is described. The results of clinical testing confirmed its effectiveness in motor speech restoration after the stroke.

Conclusion. The main benefits of the technology “Trenar” that leads to the increasing in efficiency of motor and speech rehabilitation are as follows: advanced range of training programs, based on different methods, original techniques of fine motor hand training allows one to select individual approach to rehabilitation process.

Keywords: bioengineering systems, electronic devices, bioelectric control, muscle stimulation, biofeedback, electromyographic signal, rehabilitation, movement, speech, personal approach.

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REFERENCE

  1. Inventor’s certificate 190525 USSR. The method of motor control / L. Aleev, S. Bunimovich. No 1019769/31-16; claimed 26.06.65; published 29.02.67, Bull. No 2. (in Russian).
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Recieved 28.12.2016

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Issue 1 (187), article 3

DOI: https://doi.org/10.15407/kvt187.01.030

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.30-49

Pavlov V.V., Doctor of Technics, Professor, Head of Intellectual Control Department
Shepetukha YU.M., PhD (technics), Senior Researcher, Senior Researcher of Intellectual Control Department
e-mail: yshep@meta.ua
Melnikov S.V., PhD (technics), Senior Researcher, Acting Head of Intellectual Control Department
e-mail: dep185@irtc.org.ua
Volkov A.E., Researcher of Intellectual Control Department
e-mail: alexvolk@ukr.net

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine

INTELLIGENT CONTROL: APPROACHES, RESULTS AND PROSPECTS OF DEVELOPMENT

Introduction. Intelligent control systems are advanced computerized systems aimed at the modeling and analysis of intelligent tasks as well as the support of human activity in their solving. Therefore, consideration of both conceptual and applied issues of such systems’ development is an important and urgent scientific problem.

The purpose of the paper is to examine existing approaches, current state, important results and prospects for future development of such new scientific direction as intelligent control.

Methods. Artificial intelligence methods, man-machine theory, conflict resolution theory, theory of deterministic chaos, methods of decision support, methods of distributed control of non-linear applied processes.

Results. One may stress two main directions in the field of intelligent control where promising results have been achieved. The first one, related to the creation of intelligent infrastructure, includes development of methods and structures of distributed control as well as examination of non-linear applied processes in objects with variable properties. The second direction, attributed to the creation of intelligent agents, includes elaboration of methods, models and algorithms for real-time decisions related to the efficient control of dynamic objects.

Conclusion. Modern systems of intelligent control should integrate into a single unity three main components such as: traditional control methods, artificial intelligence theory and decision making approach. The main problem is the transformation of conceptual issues of intelligent systems’ creation into concrete technologies and algorithms of control in specific application domains.

Keywords: intelligent control, human-machine system, conflicts theory, non-linearity, uncertainty, net-centricity.

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18 Pavlov V.V. Synthesis of strategies in man-machine systems. Kiev: Vyshcha shkola, 1989. 162 p (in Russian).

19 Bibichkov A., Pavlov V., Gricenko V., Gubanov S. “Anticon” — a step for the provision of navigation safety. Navigation. 1999. No 3. pp. 42–43 (in Russian).

20 Method and device for computer networks of control of application processes’ high speed cycles: pat. 83118 Ukaine; reg. 08 Semtember 2006 (in Russian).

Recieved 02.10.2016

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Issue 1 (187), article 2

DOI: https://doi.org/10.15407/kvt187.01.011

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.11-30

L.S. Fainzilberg, Doctor of Engineering, Associate Professor (Docent),
Chief Researcher of Data Processing Department

e-mail: fainzilberg@voliacable.com

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine

INTERACTIVE SYNTHESIS OF INFORMATION TECHNOLOGY SIGNALPROCESSING WITH LOCALIZED INFORMATION

Introduction. Current task that inevitably arises before the designer of information technology (IT) signal processing with localized information — selection and setup of intelligent computational procedures to ensure an effective transition from the signal distorted by internal and external perturbations to the information products targeted at specific user.

The purpose of the article is to summarize the experience in the development of IT applications for the analysis and interpretation of the signals with localized information using an open tool for the expansion of the instrumental system.

Methods. On the basis of the object-oriented approach and IT tasks analysis, focused
on the extraction of diagnostic information from the distorted signal with a locally-focused features, held decomposition of the general problem of applied IT synthesis in different
applications.

Results. Generalized model of IT analysis and signals of complex shape interpretation has been developed. The development system architecture is proposed, the core of which is based on two abstract classes — a data carrier generalized model (DCM) and the generalized data processing model (DPM). On the basis of the heirs of these classes set up a set of basic computational component, ensuring the recovery of the useful signal monitoring in terms of internal and external disturbances, detection of informative reconstructed signal fragments, analysis of amplitude-time parameters (diagnostic indicators), focusing on the detected fragments and implementation of diagnostic rules, provides an assessment of the state of the object by the calculated characteristics.

Methodology of the experiments evidence with elements of the deductive approach, which is demonstrated by the example of the original evaluation index electrocardiogram is proposed.

Conclusions. The developed instrumental system allows to accelerate the development of the new IT processing of complex shape signals and to improve its effectiveness. Examples of the successful synthesis of applied information technologies for processing signals with localized information created using the developed instrumental system are given.

Keywords: information technology, complex shape signals, instrumental system.

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REFERENCE

1 Fainzilberg L.S. Information technology for signal processing of complex shape. Theory and practice. Kiev: Nauk. Dumka, 2008. 333 p (in Russian).

2 Gritsenko V.I., Fainzilberg L.S. Computer diagnostics using complex-form signals under conditions of internal and external disturbances. Reports of the NAS of Ukraine. 2013. No 12. P. 36–44 (in Russian).

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5 Fainzilberg L.S. Computer diagnostics by phase portrait of electrocardiogram. Kiev: Osvita Ukrainy, 2013.191 p. (in Russian).

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9 Fainzilberg L.S., Glushauskene G.A. Narrow-band Rejection Filter for Suppression of Harmonic Concentrated Interference on the Basis of Discrete Fourier Transform . Journal of Automation and Information Sciences. 2009. Vol. 41. Iss. 8. P. 55–70.

10 Fainzilberg L.S. Adaptive smoothing of noise in information technology processing of physiological signals. Mathematical Machines and Systems. 2002. No 3. P. 96–104.(in Russian).

11 Fainzilberg L.S. Restoration of a standard sample of cyclic waveforms with the use of the Hausdorff metric in a phase space. Cybernetics and Systems Analysis. 2003. No 3. P. 20–28 (in Russian).

12 Minzer O.P. Theory and practice of evidence-based medicine. Diagnosis and treatment. 2004. No 3. P. 7–15 (in Russian).

13 Fainzilberg L.S. FASEGRAPH — efficient information technology of ECG processing in the problem of ischemic cardiac disease screening. Clinical Informatics and Telemedicine. 2010.Vol. 6. Iss. 7. P. 22–30 (in Russian).

14 Schijvenaars B.J.A, Van Herpen G., Kors J.A. Intraindividual variability in electrocardiograms. Journal of Electrocardiology. 2008. Vol. 41. Iss. 3. P. 190–196.
https://doi.org/10.1016/j.jelectrocard.2008.01.012

15 Fainzilberg L.S. Simulation models of generating artificial cardiograms in terms of internal and external disturbances. Journal of Qafgaz University — Mathematics and Computer Science. 2012. No 34. P. 92–104 (in Russian).

16 Method for verification of metrological characteristics of digital electrocardiographs: UA Patent 100330:MPK G01 D21/00. No a 2011 11909, Bul. No 23. P. 6. 2012 (in Ukrainian).

17 Gritsenko V.I., Fainzilberg L.S. Personified digital medicine tools — step to health. Herald of the NAS of Ukraine. 2012. No 8. P. 62–70 (in Ukrainian).

18 Gritsenko V.I., Fainzilberg L.S. FASEGRAPH — information technology for the integrated assessment of the cardiovascular system state of the electrocardiogram phase portrait. Information technologies for the Physician. 2013. No 3. P. 52–63 (in Russian).

19 Vasetsky Y.M., Fainzilberg L.S., Chaikovsky I.A.Methods of structure analysis of current distribution in conducting medium for magnetocardiography. Electronic modeling. 2004. No 3. P. 95–115 (in Russian).

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Recieved 22.12.2016

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Issue 1 (187), article 1

DOI: https://doi.org/10.15407/kvt187.01.005

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.5-11

Grytsenko V.I., Corresponding Member of NAS of Ukraine, Director of International
Research and Training Center for Information Technologies and Systems of National
Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine

e-mail: vig@irtc.org.ua

20 YEARS OF THE INTERNATIONAL RESEARCH AND TRAINING CENTER FOR INFORMATION TECHNOLOGIES AND SYSTEMS

May 5, 1997 the International Research and Training Center for Information Technologies and Systems NAS and MES of Ukraine was established by National Academy of Sciences of Ukraine.

During 20 years new scientific direction — Intelligent Information Technology (IIT), was formed. This methodology, the software and hardware became the basis for the deve-lopment of IIT of imaginative thinking, neural network technology, IIT for digital medicine, the E-education and intelligent control technologies.

The basic directions of fundamental and applied scientific research in the International Center are: creation of intelligent information technologies based on methods and means of imaginative thinking, comprehensive research of problems of intelligent management, intelligent robotics, digital medicine, e-learning, digital information space and technologies for the development of a secure information society.

By the main directions of the International Center, scientific schools in the field of information technologies and systems, technical cybernetics, biological and medical cybernetics, and mathematical analysis of comprehensive economic systems have been formed. An important contribution to the development of these scientific schools was made by outstanding Ukrainian scientists — academicians V.I. Skurikhin, A.G. Ivakhnenko,
N.M. Amosov and A.A. Bakaev. Their students and followers successfully develop these scientific directions in our country and abroad.

The International Center is the initiator of research and development of the concept of a new class of information technologies — intelligent information technologies. These are special, knowledge-intensive information technologies that differ from the known IT in the new quality — operating images of information objects. At the same time, an understanding of human speech, recognition of real and artificially created objects, active interaction with the environment, revealing the essence of the phenomenon, operating knowledge and the choice of strategy and tactics for achieving the set goal are achieved through the contours of intellectual IT.

Technical Committee for Standardization of information technologies, scientific journals “Control Systems and Computers” and “Cibernatics and Computer Engineering”, presentations of our scientists at prestigious international conferences, symposia and exhibitions make an important contribution for increasing the authority of the International Center.

The International Center has formed a program of work for the nearest years and defined the mechanisms for its implementation in the context of the rapid development of intellectualization of information technologies in all spheres of our society. As the comprehensive analysis showed, this program fully corresponds to global trends that the term “digital transformation” characterizes and covers the research priorities in information technology for a period of 5–10 years.

Keywords: intelligent information technology, imaginative thinking, intelligent management, digital medicine, e-learning, robotics, information society.

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