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ISSN 1812-7231 Klin.inform.telemed. Volume 12, Issue 13, 2017, Pages 53–63


Mayorov O. Yu.


Kharkiv Medical Academy of Postgraduate Education

Institute of Medical Informatics and Telemedicine, LTD (Kharkiv)

Research Institute for Children and Adolescents Health Protection of the National Academy of Medical Sciences of Ukraine (Kharkiv)

Article title

Searching for methods for quantitative assessment of individual resistance to emotional stress in the norm and in pathology based on the analysis of heart rate variability. Factor model.

Abstract (resume)

Introduction: To diagnose the individual's resistance to emotional stress, quantitative assessment of not only the state of individual target-organs (heart, stomach, etc.) is necessary, but also systems that control the process of adaptation of the organism in the same conflict situations.

Objective of the study: Creation of a factor model based on heart rate variability (HRV).

Materials and methods: 129 practically healthy test subjects, male, 15-18 years old. To illustrate the effectiveness of the method, patients with dyslipoproteinemia (DLP) (53 patients) were used from a group of high risk for the development of atherosclerosis. Models of emotional stress: "anticipation stress" and "insuperable conflict situation" on the basis of unsuccessful operational activities.

Results. The technique of intellectual identification of R-peaks taking into account artifacts in conditions of free behavior is presented. The technique of interpolation correction of recording of RR-intervals with cardiac rhythm disturbances for subsequent correct correlation and spectral analysis is proposed. The shortcomings of the popular secondary HRV indices are analyzed. Noise-resistant secondary indices of HRV are presented: "anxiety index" (AI) and "type of anxiety reaction" (TARI), their physiological interpretation is substantiated. The necessity of creating new methods of nonlinear analysis for estimating fractal components of HRV is proved. It is a method of global reconstruction of dynamic HRV system and application of the local index of fractality in the analysis of short RR interval series in the assessment of heart rate variability.

Conclusion. A factor model of HRV parameters was developed and a physiological interpretation of the identified three main factors was given. Changes in the magnitude of isolated factors in a state of calm wakefulness and under conditions of modeling emotional stress in healthy subjects and patients with dyslipoproteinemia (DLP) were analyzed. The effectiveness of the proposed method is shown.


emotional stress, individual resistance, heart rate variability (HRV), factor analysis


1. Sudakov K. V., Umrjuhin P. E. Sistemnye osnovy emocional'nogo stressa. [Systemic foundations of emotional stress]. M., GJeOTAR-Media, 2010. 112 p. (In Russ.).

2. Mayorov O. Yu. Nejrodinamicheskaja struktura sistemnyh mehanizmov ustojchivosti k emocional'nomu stressu [Neurodynamic structure of systemic mechanisms of resistance to emotional stress]. Avtoref. dis. doktora med. nauk [Author's abstract. dis. doctor of med. sciences]. Moskva, 1988. 45 p. (In Russ.).

3. Medvedev V. I. Ustojchivost' fizicheskih funkcij cheloveka pri dejstvii ekstpemal'nyh faktorov [Stability of the physical functions of man in the action of extraneous factors]. L., Nauka Publ., 1982. 104 p. (In Russ.).

4. Jumatov E. A. Central'nye nejrohimicheskie mehanizmy ustojchivosti k emocional'nomu stress [Central neurochemical mechanisms of resistance to emotional stress]. Avtoref. diss. d-ra med. nauk [Author's abstract. diss. Dr. med. sciences]. M., 1986. 44 p. (In Russ.).

5. The Handbook of Stress: Neuropsychological Effects on the Brain. Ed by C. D. Conrad, Blackwell Publishing Ltd., 2011. 693 p.

6. Bayevsky R. M. K probleme ocenki stepeni naprjazhenija reguljatornyh sistem organizma [To the problem of estimating the degree of tension of the body's regulatory systems]. Adaptacija i problemy obshhej patologii [Adaptation and problems of general pathology]. Novosibirsk, 1974. vol. 1, pp. 44-48. (In Russ.).

7. Baevsky R. M., Berseneva A. P. Ocenka adaptacionnyh vozmozhnostej organizma i risk razvitija zabolevanij [Evaluation of the adaptive capabilities of the organism and the risk of developing diseases]. M., Medicina Publ, 1997. 265 p. (In Russ.).

8. Parin V. V. Cosmic Cardiology and its Clinical Aspects. Kardiologija [Cardiology], 1967. vol. 7, pp. 13-18. (In Russ.).

9. Baevsky R. M., Kirillov O. I., Kletskin S. Z. Matematicheskij analiz izmenenij serdechnogo ritma pri stresse [Mathematical analysis of cardiac rhythm changes under stress]. M., Nauka Publ, 1984. 220 p. (In Russ.)

10. Meerson F. Z., Khalfyan E. Sh., Lyamina N. P. Vlijanie stpessopnoj i fizicheskoj nagruzok na ritmicheskuju dejatel'nost' serdca i sostojanie adpenergicheskoj reguljacii u bol'nyh NCD [Influence of stratospheric and physical loads on the rhythmic activity of the patient and the state of adrenal regulation in patients with NDC]. Kardiologija [Cardiology], 1990. vol. 5, pp. 55-59. (In Russ.)

11. Mayorov O. Yu., Baevsky R. M. Application Of Space Technologies For Valuation Of А Stress Level. Medical Informatics Europe'99, P. Kokol et al. (Eds.). IOS Press. 1999. pp. 352-356.

12. Fedorov B. M. Stress i sistema krovoobrashhenija [Stress and the system of caving]. M., Medicina Publ, 1991. 319 p. (In Russ.).

13. R. Bayevsky Analysis of heart rate variability: history and philosophy, theory and practice. Zh. Klin. inform. i Telemed. [J. Klin. inform. and Telemed], 2004. vol. 1, iss. 1, pp. 54-44. (In Russ.).

14. Kletskin S. 3. Problemy kontrolja i ocenki operacionnogo stressa (na osnove analiza ritma serdca s pomoshh'ju JeVM) [Problems of control and evaluation of operational stress (based on analysis of the rhythm of the heart with the help of a computer)]. Avtoref. dis., d-ra med. nauk. [Author's abstract. dis., Dr. med. sciences]. M., 1981. 56 p. (In Russ.).

15. Mayorov O. Yu. Changes in the indices of variation pulsometry under experimental emotional stress conditions. Physiology and pathophysiology of the heart and coronary circulation: Abstracts 11 All-Union. Symposium. Kiev, 1987. pp. 95-97. (In Russ.).

16. Mayorov O. Yu. Some methods and methodological approaches to the mathematical analysis of the heart rhythm in conditions of emotionally intense activity and emotional stress. Materials of the Plenum of the Problem Commission of the Acad. of Med. Sci. of the USSR "Mechanisms of the systemic organization of physiological functions", Kursk, 1990. pp. 81-88. (In Russ.).

17. Baevsky R. M. Prognozirovanie sostojanij na grani normy i patologii [Prediction of states on the verge of norm and pathology]. M., 1979. 298 p. (In Russ.).

18. Dashkevich O. Emocional'naja reguljacija dejatel'nosti v ekstremal'nyh uslovijah [Emotional regulation of activities in extreme conditions]. Avtoref. dis. d-ra nauk. [Author's abstract. diss. Dr. med. sciences]. M., 1985. 45 p. (In Russ.).

19. Mironova T. V., Mironov V. A. Klinicheskij analiz volnovoj struktury sinusovogo ritma serdca (Vvedenie v ritmokardiografiju i atlas ritmokardiogramm) [Clinical analysis of the wave structure of the sinus rhythm of the heart (Introduction to rhythmocardiography and atlas of rhythmocardiograms)]. Chelyabinsk, 1998. 162 p. (In Russ.).

20. Mikhailov V. M. Variabel'nost' ritma serdca. Opyt prakticheskogo primenenija [Variability of the rhythm of the heart. Practical experience]. Ivanovo, 2000. 200 p. (In Russ.).

21. Nidekker I. G., Fedorov V. M. The problem of mathematical analysis of heart rhythm. Fiziologija cheloveka [Human Physiology], 1993. vol. 19, no. 3, pp. 80-87. (In Russ.).

22. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart Rate Variability. Standards of Measurements, Physiological Interpretation, and Clinical Use. Circulation, 1996. vol. 93, pp. 1043-1065.

23. Zhaemityte D. I., Kaukenas R., Kusas V. The system of automated analysis of rhythmograms. Analiz serdechnogo ritma [Heart rate analysis]. Vilnius, 1982. pp. 5-22. (In Russ.).

24. R. Bayevsky, G. Ivanov, L. Chireikin. and others. An analysis of heart rate variability when using various electrocardiographic systems. Vestnik arritmologii [Herald of arrhythmology], 2002. no. 24, p. 53. (In Russ.).

25. Mayorov O. Yu. Modification of some mathematical-statistical heart rate indicators for computerized ECG processing in the study of regulatory systems. Materials of the All-Union Sympoz. "Problems and methods of investigation in the age physiology". Baku, 1987. pp. 59-60. (In Russ.).

26. Baevsky R. M., Ivanov G. G. Heart rate variability: theoretical aspects and possibilities of clinical application. Ul'trazvukovaja funkcional'naja diagnostika [Ultrasonic functional diagnostics], 2001. vol. 3, pp. 108-127. (In Russ.).

27. Akselrod S. Components of heart rate variability. Basic studies. In: Heart rate variability. Eds. M. Malik. A. J. Camm. Armonk-New York., Futura Publ. Company Inc. 1995. pp. 147-163.

28. Cohen H., Matar M. A., Kaplan Z., Kotler M. Power spectral analysis of heart rate variability in psychiatry. Psychother-Psychosom., 1999. vol. 68, no. 2, pp. 59-66.

29. Wawryk A. M., Bates D. J., Couper J. J. Power Spectral Analysis of Heart Rate Variability in Children and Adolescents With IDDM. Diabetes Care, 1997. vol. 20, no. 9, pp. 1416-1421.

30. Goldberger A. Fractal variability versus pathologic periodicity: complexity loss and stereotypy in disease. Persp. Biol. Med., 1997. vol. 40, pp. 543-561.

31. A. Fleishman. Variabel'nost' serdechnogo ritma i medlennye kolebanija nejrodinamiki: nelinejnye fenomeny v klinicheskoj praktike [Variability of the heart rate and slow fluctuations in neurodynamics: nonlinear phenomena in clinical practice]. Novosibirsk, SB RAS Publ, 2009. 194 p.

32. Mayorov O. Yu., Fenchenko V. N. Global reconstruction of the dynamic system of heart rate variability. Intern. Symposium on Heart Rate Variability. Izhevsk, 2008. p. 35. (In Russ.).

33. Mayorov O. Yu., Fenchenko V. N. Increase of reliability of studies of bioelectrical activity (EEG, ECG and heart rate variability) by methods of nonlinear analysis. G. Klin. inform. i Telemed [J. Klin. inform. and Telemed.], 2009. vol. 5, iss. 6, p. 10-17. (In Russ.).

34. Mayorov O. Yu., Fenchenko V. N. The use of a local fractal index for the analysis of short series of RR intervals in the study of heart rate variability. G. Klin. inform. i Telemed. [J. Klin. inform. and Telemed.], 2010. vol.6, iss. 7. pp. 6-17. (In Russ.).

35. Mayorov O. Yu., Fenchenko V. N. Local analysis of heart rate variability by methods of nonlinear analysis. Trudy Instituta kibernetiki NAN Ukrainy [Proc. of the Inst. of Cybernetics of NAS of Ukraine], 2011. pp. 3-11. (In Russ.).

36. Mayorov O. Yu., Fenchenko V. N. The local index of fractality in the analysis of short. The 5th Chaotic Modeling & Simulation International Conference CHAOS-2012. Athens, Greece. 2012. pp. 99-100.

37. Iberla K. Faktornyj analiz [Factor analysis]. M., M., Statistika Publ, 1980. 398 p. (In Russ.).

38. Folkov B., Nile E. Krovoobrashhenie [Blood circulation]. M., Medicina Publ., 1976. 466 p. (In Russ.).

39. Mayorov O. Yu., Fenchenko V. N. Method for the analysis of heart rate variability with the help of the local index of fractality. In Proc: Mathematical Cardiology. Theory, clinical results, recommendations, perspectives. Proc. of the Sympos. IY of the Cardiological Congress, SP, 2015. Print Pro Publ., 2015. pp. 99-112. (In Russ.).

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