Control Systems and Computers, N6, 2016, Article 3

DOI: https://doi.org/10.15407/usim.2016.06.024

Upr. sist. maš., 2016, Issue 6 (266), pp. 24-33.

UDC 616.12-07

Gritsenko  Volodymyr I., Corresponding Member of the NAS of Ukraine, International Research and Training Centre of Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine, E-mail: vig@irtc.org.ua

Fainzilberg Leonid S., Doctor of Technical Sciences, head of the department, International Research and Training Center for Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine, E-mail: fainzilberg@voliacable.com,

Kravchenko Anatoliy N., Doctor of Medical Sciences, State Scientific Institution “Scientific and Practical Center for Preventive and Clinical Medicine” of the State Department of Affairs (Kiev),

Korchinskaya Zoya A., Research fellow, International Research and Training Center for Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187,

Orikhovskaya Kseniya B., post-graduate student, International Research and Training Center for Information Technologies and Systems of the NAS and MES of Ukraine, Glushkov ave., 40, Kyiv, 03187, Ukraine, E-mail:  kseniaor@gmail.com,

Pasko Viktoria S., Candidate of Medical Science, State Scientific Institution “Scientific and Practical Center for Preventive and Clinical Medicine” of the State Department of Affairs (Kiev),

 Stanislavskaya Svetlana S., Head of the department, State Scientific Institution “Scientific and Practical Center for Preventive and Clinical Medicine” of the State Department of Affairs (Kiev)

Cognitive Graphic Images in the Problem of Estimating the Body’s Reaction to the Load by Phasegraphy Method

Introduction. An important tool in the problem figurative representation of intellectual information technologies (IT) is cognitive computer graphics, which allows you to instantly see any solution to the problem or get help for its finding. In case of successfully submitting data in a cognitive graphic image, the analysis of this way of the solution can be found without complex calculations.
The purpose of the article – to offer new IT assessment of the ardiovascular system reaction adequacy to the load on the cognitive graphic images engendered by phasegraphy method for single-hannel ECG.

Methods: The proposed IT is based on FAZEGRAF® complex which is using a special sensor with a finger electrodes provides the onvenience of a first ECG standard lead registration, and a computer program to automatically determine the heart rate and parameter of the final part of the ventricular ECG complex in three states: rest, oad and restitution.
Additional program module for specified parameters allows building graphic patterns that characterize the dynamics of change parameters in the testing process. On the basis of these patterns is ased cognitive graphic image, which gives the integral representation of the adequacy of the body’s reaction to the load.

Results: Proposed rule of test results interpretation, which is based on a visual assessment of the convexity up patterns of
parameters observed in the testing process. The given examples of cognitive images that represent an adequate, satisfactory,
and reduced tolerance the tested people organism on a short-term load demonstrate their convenience for the rapid assessment
of the test results. Additional studies have confirmed the reproducibility of the cognitive images.

Conclusions: The proposed approach extends the functionality of the phasegraphy method and it can be used not only
medical professionals but also by the tested people, because the visual analysis of cognitive graphic image makes it possible
to instantly identify the parameters that demonstrate inadequate response to the load and the rest afterwards.

Download full text! (In Russian)

Keywords: information technology, cognitive graphics, ECG parameters, exercise stress test

1.Grytsenko, V.I., 1992. Intelektualizatsiya informatsiynykh tekhnolohiy. Nauka i tekhnolohiyi. K.: In-t kibernetyky im. V.M. Hlushkova NAN Ukrayiny, pp. 4–9. (In Ukrainian).

2. Zenkin, A.A., 1991. Kognitivnaya komp’yuternaya grafika. Pod red. D.A. Pospelova. M.: Nauka, 192 p. (In Russian).

3. Pospelov, D.A., 1992. Kognitivnaya grafika – okno v novyy mir. Programmnyye produkty i sistemy, 2, pp. 4–6. (In Russian).

4. Fainzilberg, L., Potapova, T., 1995. Computer Analysis and Recognition of Cognitive Phase Spase Electro-Cardio Graphic Image. Proc. of the 6th Int. Conf. on Computer Analysis of Images and Patterns (CAIPS’95). Prague (Czech Republic), pp. 668–673.
https://doi.org/10.1007/3-540-60268-2_362

5. Faynzil’berg, L.S., 2013. Kompyuternaya diagnostika po fazovomu portretu elektrokardiogrammy. K.: Osvita Ukrainy, 191 p. (In Russian).

6. Gritsenko, V.I., Faynzil’berg, L.S., 2013. Informatsionnaya tekhnologiya FAZAGRAF® dlya integral’noy otsenki sostoyaniya serdechno-sosudistoy sistemy po fazovomu portretu elektrokardiogrammy. Vrach i informatsionnyye tekhnologii, 3, pp. 52–63. (In Russian).

7. Connolly, D.C., Elveback, L.R., Oxman, H.A., 1984. Coronary heart disease in residents of Rochester, Minnesota: Prognostic value of the resting electrocardiogram at the time of initial diagnosis of angina pectoris. Mayo. Clin. Proc., 59, pp. 247–250.

8. Di Bernardo, D., Murray, A., 2000. Computer model for study of cardiac repolarization. J. Cardiovasc. Electrophysiol., 11, pp. 895–899.
https://doi.org/10.1111/j.1540-8167.2000.tb00069.x

9. Aronov, D.M., Lupanov, V.P., 2002. Funktsional’nyye proby v kardiologii. M.: Medpress-inform, 296 p. (In Russian).

10. Halson, S.L., Jeukendrup, A.E., 2004. Does Overtraining Exist? An Analysis of Overreaching and Overtraining Research. Sports Med. 34 (14), pp. 967–981.
https://doi.org/10.2165/00007256-200434140-00003

11. N.YA. Prokop’yev, Ye.T. Kolunin, M.N. Gurtovaya et. al., 2014. Fiziologicheskiye podkhody k otsenke funktsional’nykh nagruzochnykh prob. Fundamental’nyye issledovaniya, 2, pp. 146–150. (In Russian).

12. Sidorov, S.P., Perkhurov, A.M., Shtefan, O.S., 2009. Znacheniye korrektnogo vypolneniya metodiki funktsional’noy proby s 20 prisedaniyami pri otsenke sostoyaniya serdechno-sosudistoy sistemy yunykh sportsmenov. Fizkul’tura v profilaktike, lechenii i reabilitatsii, 2 (29), pp. 39–44. (In Russian).

13. Faynzilberg, L.S., Orikhovskaya, K.B., 2015. Informatsionnaya tekhnologiya otsenki adaptatsionnykh rezervov organizma v polevykh usloviyakh. Kibernetika i vychislitel’naya tekhnika, 181, pp. 4–22. (In Russian).

14. Faynzilberg, L.S., 2010. Matematicheskiye metody otsenki poleznosti diagnosticheskikh priznakov. K.: Osvita Ukrainy, 152 p. (In Russian).

15. Nauka o sporte: Sportivnaya entsiklopediya sistem zhizneobespecheniya.Pod red. A.D. Zhukova. M.: Magistr-press, 1000 p. (In Russian).

16. Rukovodstvo po kardiologii: Uchebnoye posobiye v 3 t. Pod red. G.I. Storozhakova, A.A. Gorbachenkova. M.: GEOTAR-Media, 2008, T. 1, 672 p. (In Russian).

17. Faynzilberg, L.S. 2015. Sposib otsinyuvannya adekvatnosti reaktsiyi orhanizmu na navantazhennya. Patent n 103229, Ukrayina: MPK A61V5/02. Opubl. 10.12.2015, Byul. n 23. (In Ukrainian).

Received 01.09.2016