bmjourБайкальский медицинский журналBaikal Medical Journal2949-0715Irkutsk State Medical University10.57256/2949-0715-2026-5-1-11-19bmjour-323Research ArticleНаучные обзоры литературыScientific literature reviewsИЗМЕРЕНИЕ ВАРИАБЕЛЬНОСТИ СЕРДЕЧНОГО РИТМА: ИНФОРМАЦИЯ ДЛЯ ВРАЧЕЙ И ИССЛЕДОВАТЕЛЕЙMEASURING HEART RATE VARIABILITY: INSIGHTS FOR CLINICIANS AND RESEARCHERShttps://orcid.org/0000-0002-6505-4216КапилГуптаGuptaKapil

профессор, кафедра физиологии

Professor, Department of Physiology

drravisaini06@gmail.comhttps://orcid.org/0000-0001-8154-9385СаиниРавиSainiRavi

аспирант, кафедра физиологии

PhD Scholar, Department of Physiology

sainiravi414@gmail.comСаиниРекчандSainiRekchand

магистрант, кафедра физиологии

MSc student, Department of Physiology

sainiravi414@gmail.comШармаАбхишекSharmaAbhishek

аспирант кафедры физиологии

PG Resident, Department of Physiology

sainiravi414@gmail.comМедицинский колледж SMSИндияSMS Medical CollegeIndia202610032026511119Copyright © Капил Г., Саини Р., Саини Р., Шарма А., 20262026Капил Г., Саини Р., Саини Р., Шарма А.Gupta K., Saini R., Saini R., Sharma A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.bmjour.ru/jour/article/view/323Актуальность

Актуальность. Неинвазивные исследования позволяют эффективно оценивать состояние сердечно-сосудистой системы, уровень стресса и общую физиологическую устойчивость организма. Вариабельность сердечного ритма, определяемая по колебаниям временных интервалов между последовательными сердечными сокращениями, позволяет исследовать активность вегетативной нервной системы. Она отражает динамическое равновесие между симпатической и парасимпатической ветвями вегетативной нервной системы, предоставляя информацию, которая является ценным биомаркером в различных областях, включая кардиологию, спортивную науку, психологию и гигиену труда.

Цель

Цель. Провести анализ эффективного применения вариабельности сердечного ритма и обобщить полученную информацию для лучшего информирования врачей.

Материалы и методы

Материалы и методы. Проведен обзор источников литературы с использованием известных баз данных, таких как Российский индекс научного цитирования, PudMed на глубину 10 лет.

Результаты

Результаты. Вариабельность сердечного ритма – колебание временных интервалов между последовательными сердечными сокращениями, представляющее собой неинвазивный показатель активности вегетативной нервной системы. Она отражает динамическое равновесие между симпатической и парасимпатической ветвями вегетативной нервной системы, предоставляя информацию о состоянии сердечно-сосудистой системы, уровне стресса и общей физиологической устойчивости. Вариабельность сердечного ритма стала ценным биомаркером в различных областях, включая кардиологию, спортивную науку, психологию и гигиену труда. Высокая вариабельность сердечного ритма обычно ассоциируется с хорошим здоровьем и адаптивностью, в то время как пониженная вариабельность сердечного ритма может указывать на стресс, усталость или патологические состояния.

Заключение

Заключение. Достижения в области носимых технологий и анализа данных способствовали мониторингу вариабельности сердечного ритма в режиме реального времени, что открывает более широкие возможности для клинического и личного применения в области здравоохранения. В данной статье рассматриваются физиологические основы вариабельности сердечного ритма, распространенные методы измерения, клиническая значимость и современные тенденции в исследованиях и применении вариабельности сердечного ритма.

Relevance

Relevance. Non-invasive studies allow for effective assessment of cardiovascular health, stress levels, and overall physiological resilience. Heart rate variability, defined as fluctuations in the time intervals between successive heartbeats, allows for the study of autonomic nervous system activity. It reflects the dynamic balance between the sympathetic and parasympathetic branches of the autonomic nervous system, providing information that is a valuable biomarker in various fields, including cardiology, sports science, psychology, and occupational health.

Aim

Aim. To analyze the effective use of heart rate variability and summarize the obtained information to better inform physicians.

Materials and methods

Materials and methods. A literature review was conducted using well-known databases such as the Russian Science Citation Index and PudMed covering a 10-year period.

Results

Results. Heart rate variability is the variation in the time intervals between successive heartbeats and is a noninvasive indicator of autonomic nervous system activity. It reflects the dynamic balance between the sympathetic and parasympathetic branches of the autonomic nervous system, providing information about cardiovascular health, stress levels, and overall physiological resilience. Heart rate variability has become a valuable biomarker in various fields, including cardiology, sports science, psychology, and occupational health. High heart rate variability is generally associated with good health and adaptability, while low heart rate variability may indicate stress, fatigue, or pathological conditions.

Conclusion

Conclusion: Advances in wearable technologies and data analysis have facilitated real-time heart rate variability monitoring, opening up broader possibilities for clinical and personal healthcare applications. This article reviews the physiological basis of heart rate variability, common measurement methods, clinical significance, and current trends in heart rate variability research and application.

 

 

 

 

частота сердечных сокращенийэлектрокардиограммакомпьютерный анализавтономная нервная системаоценка рискаheart rateelectrocardiogramcomputer analysisautonomic nervous systemrisk assessmentReferencesHeart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996;93(5):1043-1065. https://doi.org/10.1161/01.CIR.93.5.1043Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996;93(5):1043-1065. https://doi.org/10.1161/01.CIR.93.5.1043McCraty R., Shaffer F. Heart Rate Variability: New Perspectives on Physiological Mechanisms, Assessment of Self-regulatory Capacity, and Health risk. Glob Adv Health Med. 2015;4(1):46-61. https://doi.org/10.7453/gahmj.2014.073McCraty R., Shaffer F. Heart Rate Variability: New Perspectives on Physiological Mechanisms, Assessment of Self-regulatory Capacity, and Health risk. Glob Adv Health Med. 2015;4(1):46-61. https://doi.org/10.7453/gahmj.2014.073Thayer J.F., Ahs F., Fredrikson M. et al. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012;36(2):747-756. https://doi.org/10.1016/j.neubiorev.2011.11.009Thayer J.F., Ahs F., Fredrikson M. et al. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012;36(2):747-756. https://doi.org/10.1016/j.neubiorev.2011.11.009Williams D.P., Koenig J., Carnevali L. et al. Heart rate variability and inflammation: A meta-analysis of human studies. Brain Behav Immun. 2019;80:219-226. https://doi.org/10.1016/j.bbi.2019.03.009Williams D.P., Koenig J., Carnevali L. et al. Heart rate variability and inflammation: A meta-analysis of human studies. Brain Behav Immun. 2019;80:219-226. https://doi.org/10.1016/j.bbi.2019.03.009Pizzoli S.F.M., Marzorati C., Gatti D. et al. A meta-analysis on heart rate variability biofeedback and depressive symptoms. Sci Rep. 2021;11(1):6650. https://doi.org/10.1038/s41598-021-86149-7Pizzoli S.F.M., Marzorati C., Gatti D. et al. A meta-analysis on heart rate variability biofeedback and depressive symptoms. Sci Rep. 2021;11(1):6650. https://doi.org/10.1038/s41598-021-86149-7Immanuel S., Teferra M.N., Baumert M., Bidargaddi N. Heart Rate Variability for Evaluating Psychological Stress Changes in Healthy Adults: A Scoping Review. Neuropsychobiology. 2023;82(4):187-202. https://doi.org/10.1159/000530376Immanuel S., Teferra M.N., Baumert M., Bidargaddi N. Heart Rate Variability for Evaluating Psychological Stress Changes in Healthy Adults: A Scoping Review. Neuropsychobiology. 2023;82(4):187-202. https://doi.org/10.1159/000530376Kim H.G., Cheon E.J., Bai D.S. et al. Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investig. 2018;15(3):235-245. https://doi.org/10.30773/pi.2017.08.17Kim H.G., Cheon E.J., Bai D.S. et al. Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investig. 2018;15(3):235-245. https://doi.org/10.30773/pi.2017.08.17Voss A., Schroeder R., Heitmann A., Peters A., Perz S. Short-term heart rate variability--influence of gender and age in healthy subjects. PLoS One. 2015;10(3):e0118308. https://doi.org/10.1371/journal.pone.0118308Voss A., Schroeder R., Heitmann A., Peters A., Perz S. Short-term heart rate variability--influence of gender and age in healthy subjects. PLoS One. 2015;10(3):e0118308. https://doi.org/10.1371/journal.pone.0118308Shaffer F., Ginsberg J.P. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017;5:258. https://doi.org/10.3389/fpubh.2017.00258Shaffer F., Ginsberg J.P. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017;5:258. https://doi.org/10.3389/fpubh.2017.00258Peng C.K., Havlin S., Hausdorff J.M. et al. Fractal mechanisms and heart rate dynamics. Long-range correlations and their breakdown with disease. J Electrocardiol. 1995;28 Suppl:59-65. https://doi.org/10.1016/s0022-0736(95)80017-4Peng C.K., Havlin S., Hausdorff J.M. et al. Fractal mechanisms and heart rate dynamics. Long-range correlations and their breakdown with disease. J Electrocardiol. 1995;28 Suppl:59-65. https://doi.org/10.1016/s0022-0736(95)80017-4Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996;93(5):1043-1065. https://doi.org/10.1161/01.CIR.93.5.1043Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996;93(5):1043-1065. https://doi.org/10.1161/01.CIR.93.5.1043Rajendra Acharya U., Paul Joseph K., Kannathal N. et al. Heart rate variability: a review. Med Biol Eng Comput. 2006;44(12):1031-1051. https://doi.org/10.1007/s11517-006-0119-0Rajendra Acharya U., Paul Joseph K., Kannathal N. et al. Heart rate variability: a review. Med Biol Eng Comput. 2006;44(12):1031-1051. https://doi.org/10.1007/s11517-006-0119-0Plews D.J., Laursen P.B., Stanley J. et al. Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Med. 2013;43(9):773-781. https://doi.org/10.1007/s40279-013-0071-8Plews D.J., Laursen P.B., Stanley J. et al. Training adaptation and heart rate variability in elite endurance athletes: opening the door to effective monitoring. Sports Med. 2013;43(9):773-781. https://doi.org/10.1007/s40279-013-0071-8Stanley J., D'Auria S., Buchheit M. Cardiac parasympathetic activity and race performance: an elite triathlete case study. Int J Sports Physiol Perform. 2015;10(4):528-534. https://doi.org/10.1123/ijspp.2014-0196Stanley J., D'Auria S., Buchheit M. Cardiac parasympathetic activity and race performance: an elite triathlete case study. Int J Sports Physiol Perform. 2015;10(4):528-534. https://doi.org/10.1123/ijspp.2014-0196Buchheit M. Monitoring training status with HR measures: do all roads lead to Rome?. Front Physiol. 2014;5:73. https://doi.org/10.3389/fphys.2014.00073Buchheit M. Monitoring training status with HR measures: do all roads lead to Rome?. Front Physiol. 2014;5:73. https://doi.org/10.3389/fphys.2014.00073Flatt A.A., Esco M.R. Evaluating Individual Training Adaptation With Smartphone-Derived Heart Rate Variability in a Collegiate Female Soccer Team. J Strength Cond Res. 2016;30(2):378-385. https://doi.org/10.1519/JSC.0000000000001095Flatt A.A., Esco M.R. Evaluating Individual Training Adaptation With Smartphone-Derived Heart Rate Variability in a Collegiate Female Soccer Team. J Strength Cond Res. 2016;30(2):378-385. https://doi.org/10.1519/JSC.0000000000001095Bellenger C.R., Fuller J.T., Thomson R.L. et al. Monitoring Athletic Training Status Through Autonomic Heart Rate Regulation: A Systematic Review and Meta-Analysis. Sports Med. 2016;46(10):1461-1486. https://doi.org/10.1007/s40279-016-0484-2Bellenger C.R., Fuller J.T., Thomson R.L. et al. Monitoring Athletic Training Status Through Autonomic Heart Rate Regulation: A Systematic Review and Meta-Analysis. Sports Med. 2016;46(10):1461-1486. https://doi.org/10.1007/s40279-016-0484-2Kiviniemi A.M., Hautala A.J., Kinnunen H., Tulppo M.P. Endurance training guided individually by daily heart rate variability measurements. Eur J Appl Physiol. 2007;101(6):743-751. https://doi.org/10.1007/s00421-007-0552-2Kiviniemi A.M., Hautala A.J., Kinnunen H., Tulppo M.P. Endurance training guided individually by daily heart rate variability measurements. Eur J Appl Physiol. 2007;101(6):743-751. https://doi.org/10.1007/s00421-007-0552-2Vesterinen V., Nummela A., Heikura I. et al. Individual Endurance Training Prescription with Heart Rate Variability. Med Sci Sports Exerc. 2016;48(7):1347-1354. https://doi.org/10.1249/MSS.0000000000000910Vesterinen V., Nummela A., Heikura I. et al. Individual Endurance Training Prescription with Heart Rate Variability. Med Sci Sports Exerc. 2016;48(7):1347-1354. https://doi.org/10.1249/MSS.0000000000000910Troitskaya E. A., Velmakin S. V., Goreva L. A., Kobalava Zh. D. Aortic-brachial stiffness mismatch as potential marker of subclinical arterial damage in patients with rheumatoid arthritis. RUDN Journal of Medicine. 2023; 27(2): 167-181. https://doi.org/10.22363/2313-0245-2023-27-2-167-181.Troitskaya E. A., Velmakin S. V., Goreva L. A., Kobalava Zh. D. Aortic-brachial stiffness mismatch as potential marker of subclinical arterial damage in patients with rheumatoid arthritis. RUDN Journal of Medicine. 2023; 27(2): 167-181. https://doi.org/10.22363/2313-0245-2023-27-2-167-181.Usman M., Rajagopalan P., Beck A., Nathania J., Li T., Lim T. W. Impact of Demographics on Short-term Heart Rate Variability for Detecting Hypertension.Computing in Cardiology.2021; 1-4, https://doi.org/10.23919/CinC53138.2021.9662722.Usman M., Rajagopalan P., Beck A., Nathania J., Li T., Lim T. W. Impact of Demographics on Short-term Heart Rate Variability for Detecting Hypertension.Computing in Cardiology.2021; 1-4, https://doi.org/10.23919/CinC53138.2021.9662722.Shaffer F., Ginsberg J.P. An Overview of Heart Rate Variability Metrics and Norms. Front. Public Health.2021; 5:258. https://doi.org/10.3389/fpubh.2017.00258Shaffer F., Ginsberg J.P. An Overview of Heart Rate Variability Metrics and Norms. Front. Public Health.2021; 5:258. https://doi.org/10.3389/fpubh.2017.00258Anglem N., Lucas S. J., Rose E. A., Cotter, J. D. Mood, illness and injury responses and recovery with adventure racing. Wilderness Environ. Med. 2019; 30–38. https://doi.org/10.1580/07-WEME-OR-091.1Anglem N., Lucas S. J., Rose E. A., Cotter, J. D. Mood, illness and injury responses and recovery with adventure racing. Wilderness Environ. Med. 2019; 30–38. https://doi.org/10.1580/07-WEME-OR-091.1Skinner J.E., Weiss D.N., Anchin J.M. Nonlinear PD2i heart rate complexity algorithm detects autonomic neuropathy in patients with type 1 diabetes mellitus.Clin Neurophysiol. 2011;122 (7):1457-62. https://doi.org/10.1016/j.clinph.2010.12.046Skinner J.E., Weiss D.N., Anchin J.M. Nonlinear PD2i heart rate complexity algorithm detects autonomic neuropathy in patients with type 1 diabetes mellitus.Clin Neurophysiol. 2011;122 (7):1457-62. https://doi.org/10.1016/j.clinph.2010.12.046Sucharita S., Bantwal G., Idiculla J. Autonomic nervous system function in type 2 diabetes using conventional clinical autonomic tests, heart rate and blood pressure variability measures. Endocrinol Metab. 2011;15 (3):198-203. https://doi.org/10.4103/2230-8210.83406Sucharita S., Bantwal G., Idiculla J. Autonomic nervous system function in type 2 diabetes using conventional clinical autonomic tests, heart rate and blood pressure variability measures. Endocrinol Metab. 2011;15 (3):198-203. https://doi.org/10.4103/2230-8210.83406Pal G.K., Shyma P., Habeebullah S. Vagal withdrawal and sympathetic overactivity contribute to the genesis of early-onset pregnancy-induced hypertension. Int J Hypertens. 2011;36:14-17. https://doi.org/10.4061/2011/361417Pal G.K., Shyma P., Habeebullah S. Vagal withdrawal and sympathetic overactivity contribute to the genesis of early-onset pregnancy-induced hypertension. Int J Hypertens. 2011;36:14-17. https://doi.org/10.4061/2011/361417Ziep B., Taratukhin E.O. Heart rate variability assessment and its potential. Russian Journal of Cardiology. 2011;(6):69-75. (In Russ.) https://russjcardiol.elpub.ru/jour/article/view/1177?locale=ru_RUZiep B., Taratukhin E.O. Heart rate variability assessment and its potential. Russian Journal of Cardiology. 2011;(6):69-75. (In Russ.) https://russjcardiol.elpub.ru/jour/article/view/1177?locale=ru_RU

The authors declare that there are no conflicts of interest present.