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).

3 Technology. Soviet Encyclopedic Dictionary. Moscow: Sovetskaya entsiklopediya, 1988. P. 1330 (in Russian).

4 Fainzilberg L.S. Intelligent features and development prospects of fazagraphy — information technology processing complex shape signals. Kibernetika i vycislitelnaa tehnika. 2016. Iss. 186. P. 56–77 (in Russian).

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

6 Fainzilberg L.S. Tool system for experimental evaluation of the effectiveness of processing algorithms for signals of complex shape. Control systems and machines. 2008. Vol. 2. P. 3–12, 53 (in Russian).

7 Zenkin A.A. Cognitive Computer Graphics. Moscow: Nauka, 1991. 192 p. (in Russian).

8 Fainzilberg L.S. Nowa metoda interpretacji zapisu EKG w balaniach skriningowych oraz w opiece domowej. Zdrowie publiczne (Public Health). 2005. Vol. 115. No 4.P. 458–464.

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).

20 Fainzilberg L.S. Diagnostics of object state by phase trajectories of observed signals with locally concentrated features. Problems of Control and Informatics. 2004. No 2. P. 56–67 (in Russian).

21 Fainzilberg L.S., Kondratyuk T.V., Semergey N.A. ANTISTRESS — A New Information Technology for the Management of Regulatory Systems of a Human Body Based on the Biofeedback. Control systems and machines. 2011. No 3. P. 62–72 (in Russian).

22 Fainzilberg L.S., Korchynska Z.A., Semerhey M.O.Program-technical complex for study of a new method for biometric identification by phase portrait of electrocardiogram. Forensic Herald. 2015. No 1(23). P. 63–71 (in Ukrainian).

Recieved 22.12.2016