Preview

Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering

Advanced search

Comparative analysis of diagnostic criteria of classical cardiology and cardiometry

https://doi.org/10.21869/2223-1536-2024-14-4-116-128

Abstract

Purpose of research. Cardiometry, which has been developing for more than thirty years, has achieved certain results that make it possible to expand the diagnostic capabilities of the ECG. However, the criteria for cardio-metric diagnoses have not yet been included in the regulatory indicators approved by the Ministry of Health. Taking into account the possibilities of cardiometry and the pace of its development, this article provides a comparison of the forecasts obtained by classical and cardiometric methods from the standpoint of interchangeability.

The purpose of research is to compare the cardiological diagnoses made on the basis of ECG obtained by classical and cardiometric methods, using the position of interchangeability.

Methods. In this paper, the principle of superposition is applied, which consists in using one function to process the results of another. The existing classical result is described using a cardiometric function. As a result, in practice there is a logical possibility of moving to a more accurate diagnosis. At the same time, the basis of the classical diagnosis is not destroyed.

Results. A comparative analysis of classical cardiological and cardiometric ECG assessment methods is presented. A total of 11 diagnoses were considered. Specific conclusions and recommendations are made for each comparison. Cardiometry allows a qualitative assessment of: a) The U-wave on the ECG occurs during the early diastole phase. It is associated with the filling of the coronary bloodstream, but the quality of its filling can only be diagnosed using a synchronously recorded rheogram from point T, the end of wave T to the beginning of wave U; b) hyper- and hypocalcemia are evaluated in the S – L phase by the amplitude of the phase; c) hyper- and hypokalemia are evaluated in the L-phase. j by phase amplitude.

Conclusion. This work shows the possibilities of expanding the classical cardiological diagnosis based on an ECG.

About the Author

M. Y. Rudenko
Southern Federal University
Russian Federation

Mikhail Y. Rudenko, Candidate of Sciences (Engineering), Lecturer

22 Chekhova Str., Taganrog 347900



References

1. Rudenko M.Y., et al. Cardiometry. Fundamentals of theory and practice. Moscow: Izdatel'stvo IKM; 2020. 214 p. (In Russ.)

2. Gromov Y.Y., Gorbunov A.V., Tyutyunnik V.M. Intelligent digitalization of cardiovascular risks. Cardiometry. 2022;(22):77–94.

3. Tyutyunnik V.M. Reaction of the human body to external influences: Nobel Prize in Physiology and Medicine for 2021. Istoriya nauki i tekhniki = History of Science and Technology. 2022;(8):3–10. (In Russ.)

4. Tyutyunnik V.M., Buchachenko A.L. The molecular mechanism of magnetic effects for elucidating the magnetochemistry of genes. In: Marcus International Symposium. 2022. Hilton Phuket Arcadia, Thailand; 2022.

5. Filippov Y.A. Technologies for determining the functional and physiological state of humans. Vestnik Rossiiskogo novogo universiteta. Seriya: Slozhnye sistemy: modeli, analiz, upravlenie = Bulletin of the Russian New University. Series: Complex Systems: Models, Analysis, Management. 2020;(5);63–71. (In Russ.)

6. Buchachenko A.L., Tyutyunnik V.M. New frontiers of genetic chemistry. In: Tyutyunnik V.M. (ed.) Promising areas of research in science and technology. Tambov: Nobelistika; 2021. P. 144–157. (In Russ.)

7. Rudenko M.Y., et al. The crisis of modern medicine: how to find a way out. In: Tyutyunnik V.M. (ed.) Informatsionnye sistemy i protsessy: sbornik nauchnykh trudov = Information systems and processes: collection of scientific papers. Tambov: Nobelistika; 2017. P. 59–64. (In Russ.)

8. Rudenko M.Y., et al. The cardiovascular system of an athlete. Cardiometric characteristics of physical abilities before, during and after sports. Moscow: Izdatel'skii dom IKM; 2020. 160 p. (In Russ.)

9. Norsk P. Adaptation of the cardiovascular system to weightlessness: Surprises, paradoxes and implications for deep space missions. Acta. Physiol. (Oxf.). 2020;228(3):e13434. https://doi.org/10.1111/apha.13434

10. May C., Borowski A., Martin D., et al. Affect of microgravity on cardiac shape: comparison of pre- and in-flight data to mathematical modeling. J. Am. Coll. Cardiol. 2014;(63):A1096. https://doi.org/10.1016/S0735-1097(14)61096-2

11. Tyutyunnik V.M. Reaction of the human body to external influences: The N. Belevsky Prize in Physiology and Medicine for 2021. Istoriya nauki i tekhniki = History of Science and Technology. 2022;(8):3–10. (In Russ.)

12. Zhu H., Wang H., Liu Z. The effect of real and simulated weightlessness on human cardiac and peripheral vascular functions: a review. Mezhdunarodnyi zhurnal professional'noi meditsiny i gigieny okruzhayushchei sredy = International Journal of Occupational Medicine and Environmental Hygiene. 2015;28(5):793–802. (In Russ.)

13. Novikov B.C., Soroko S.I., Shustov E.B. Maladaptive human conditions and their correction under extreme conditions. Saint-Petersburg: Politekhnika – Print; 2018. P. 5–11. (In Russ.)

14. Ognev A.S., et al. Cardiometric taxonomy of the potential of stress indicators in various everyday situations. Kardiometriya = Cardiometry. 2019;(14):101-4. (In Russ.) EDN: LNQTO

15. Brodovskaya E.V., et al. Reversible techniques as a means of increasing the reliability of cardioculometric diagnostics. Kardiometriya = Cardiometry. 2021;(18):33-7. (In Russ.) EDN: DJTX

16. Yavelov I.S., et al. Arterial tonometer algorithm. Vostochno-Evropeiskii nauchnyi zhurnal = East European Scientific Journal. 2019;(9). (In Russ.)

17. Rudenko M.Y. Theoretical foundations of the phase analysis of the cardiac cycle. Moscow: ICM; 2007. 336 p. (In Russ.)

18. Grechkina L.I. Assessment of hemodynamic parameters as potential markers of cardiovascular risk in young men with different types of circulatory self-regulation. Analiz riska dlya zdorov'ya = Health Risk Analysis. 2019;(1):118–124. (In Russ.)

19. Kuzminsky Y.G., Shilko S.V. Method of diagnosis of the cardiovascular system based on a one-dimensional model of hemodynamics. Informatika = Computer Science. 2014;(4):19–33. (In Russ.)

20. Bryan Wiliams, et al. ESC/ESH Guidelines for the management of arterial hypertension. Eur. Heart. J. 2018;(39):3021–3104. https://doi.org/10.1093/eurheartj/ehy339


Review

For citations:


Rudenko M.Y. Comparative analysis of diagnostic criteria of classical cardiology and cardiometry. Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering. 2024;14(4):116-128. (In Russ.) https://doi.org/10.21869/2223-1536-2024-14-4-116-128

Views: 113


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2223-1536 (Print)