Innovative technology of information analysis of electrocardiosignals for the purpose of diagnostics of diseases of internal organs at any stage of their development
https://doi.org/10.22328/2413-5747-2021-7-4-54-61
Abstract
Given the results of years of research information on the properties of electrocardiosignals, set their properties, characteristic of the impulse nature, the proposed methods of information analysis of electrocardiosignals to diagnose diseases of internal organs at any stage of development, protected by patents of the Russian Federation. The main stages of the technology of information analysis of electrocardiosignals for the purpose of diagnostics of diseases of internal organs are described. The rationale for the diagnosis of these diseases at any stage of their development is given. Data were obtained according to which targeted therapeutic and preventive measures at the initial stage of disease development can provide effective prevention of their final stage, which is dangerous for human life due to its complications.
About the Author
V. M. Uspenskiy
Branch of the Kirov Military Medical Academy
Russian Federation
Russian Federation
Moscow
References
1. Nguyen Van Ngi. Тraditional Chinese medicine. The pathogenesis of the diseases. Diagnostics. Therapy. Moscow: Publishing house Tehart-Plaz, 2000, 511 р. (In Russ.).
2. Science of the heart. Vol. 2. Exploring the Role of the Heart in Human Performance / Authored by Rollin McCraty, Ph.D. Director of Research, HeartMath Research Center, 2015. 112 р.
3. Berntson G.G. et al. Cardiac autonomic balance versus cardiac regulatory capacity // Psychophysiology. 2008. Vol. 45, No. 4. Р. 643–652.
4. Beauchaine T. Vagal tone, development, and Gray’s motivational theory: toward an integrated model of autonomic nervous system functioning in psychopathology // Dev. Psychopathol. 2001. Vol. 13, No. 2. Р. 183–214.
5. Ewing D.J. Practical bedside investigation of diabetic autonomic failure // Autonomic Failure. A Textbook of Clinical Disorders of the Autonomic Nervous System / R. Bannister (ed.). Oxford: Oxford Univ. Press, 1984. 371 р.
6. Wolf M.M. et al. Sinus arrhythmia in acute myocardial infarction // Medical Journal of Australia. 1978. No. 2. Р. 52–53.
7. Dekker J.M. et al. Heart rate variability from short electrocardiographic recordings predicts mortality from all causes in middle-aged and elderly men. The Zutphen Study // Amer. J. Epidemiolol. 1997. Vol. 145, No. 10. Р. 899–908.
8. Tsuji H. et al. Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study // Circulation. 1994. Vol. 90, No. 2. Р. 878–883.
9. Baevsky R.M., Motylyanskaya R.E. Нeart rhythm in athletes. Moscow: Physical culture and sport, 1986, 143 р. (In Russ.).
10. Baevsky R.M., Kirillov O.I., Kletskin S.Z. Mathematical analysis of changes in heart rate under stress. Moscow: Publishing house Nauka, 1984, 221 c. (In Russ.).
11. Uspenskiy V.M. information function of the heart. Clinical medicine, 2008, Vol. 86, No. 5, рр. 4–13 (In Russ.).
12. Uspenskiy V.M. Information function of the heart. Theory and practice of diagnostics of internal organs diseases by the method of information analysis of electrocardiosignals. Moscow: Publishing house Economics and Informatics, 2008, 116 р. (In Russ.).
13. Uspenskiy V.M. Information Function of the Heart. A Measurement Model // Measurement. 2011. 8th International Conference. Smolenice, Slovakia, April 27–30, 2011. P. 383–386.
14. Uspenskiy V.M. Information function of the heart. Theory and practice of diagnostics of diseases of internal organs by the method of information analysis of electrocardiosignals. Moscow: Publishing house Planeta, 2016, 252 р. (In Russ.).
15. Uspenskiy V.M. Information Function of the Heart. Biophysical substantiation of technical requirements for electrocardioblock registration and measurement of electrocardiosignals parameters acceptable for information analysis to diagnose internal diseases // Joint International IMEKO TC1+TC7+TC13 Symposium. August 31–September 2, 2011, Jena, Germany.
16. Stanford Goldman. Information Theory / пер. с англ. М.: ИЛ, 1957. 446 с.
17. Dmitriev V.I. Applied information theory. Moscow: Publishing house Higher school, 1989, 320 р. (In Russ.).
18. Denisenko A.N. Signals. Theoretical radio engineering. Reference guide. Moscow: Publishing house Hotline — Telecom, 2005, 704 р. (In Russ.).
19. Tikhonov V.I., Shakhtarin B.I., Sizykh V.V. Random Processes. Examples and tasks. Vol. 5. Еstimation of signals, their parameters and spectra. Fundamentals of information theory. 2nd ed. Moscow: Publishing house Hotline-Telecom, 2019, 400 р. (In Russ.).
Review
For citations:
Uspenskiy V.M. Innovative technology of information analysis of electrocardiosignals for the purpose of diagnostics of diseases of internal organs at any stage of their development. Marine Medicine. 2021;7(4):54-61. (In Russ.) https://doi.org/10.22328/2413-5747-2021-7-4-54-61
Views:
6
Email this article 
