Today: Nov 22, 2024
RU / EN
Last update: Oct 30, 2024
A New Approach to the Analysis of Numeric Series of 100 R–R Intervals Duration in Studying Heart Rate Dynamics

A New Approach to the Analysis of Numeric Series of 100 R–R Intervals Duration in Studying Heart Rate Dynamics

Denisov A.S., Borisov V.I., Volkova E.E., Vdovina N.V.
Key words: heart rate variability; 100 R‒R intervals; orthostatic test.
2015, volume 7, issue 4, page 119.

Full text

html pdf
2158
1723

The aim of the investigation was to assess a new approach to the analysis of variations in 100 successive R‒R intervals duration in determining heart rate dynamics variants during an orthostatic test.

Materials and Methods. Electrocardiogram was recorded and duration of 100 R‒R intervals following each other was measured during an orthostatic test in 74 healthy children aged 12.8±0.16 years, 34 of which were training to play football during 1.5‒2 years. While processing numeric series of 100 R‒R intervals we were the first to apply color coding of each value, including those corresponding to the “true” heart rate (THR) parameter. For this purpose, having divided the region of R‒R interval values from 0.35 to 1.25 into i spaces by 0.15 s, each interval value depending on its belonging to i, as well as R‒R intervals corresponding to THR, were marked by a certain color. A THR parameter was determined by a known empirical equation (118.1‒0.57a) beats per minute, where a is age in years. Evaluating the whole set of parameters: mode (Mo, s) — the most frequently occurring R‒R interval duration; mode amplitude (AMo) — a number of Mo value repetitions — some of which were used in cardiointervalography for the first time (a total quantity of i spaces, in which R‒R interval variations occurred — it; the quantity of transitions from one space i to another — Nabs; R‒R duration corresponding to THR).

Results. The approach developed made it possible to present clearly the change of the heart rate in time, to assess quantitatively the heart rate dynamics in time and determine the variants of its alteration in the orthostatic test. Their set in healthy children with a high level of physical activity has been found to be similar, though the ratio of diverse variants is different: in changing over to orthostasis cases of a weak influence of the vegetative nervous system on the heart rate occur more often in the young football players than in children with a lower physical load.

Conclusion. Application of color coding of the R‒R intervals succession and assessment of the suggested set of parameters for heart rate variability investigation make it possible to present clearly heart rate dynamics and evaluate activity intensity of various parts of the vegetative nervous system without conversion of the numeric series of R‒R interval succession to the analog form. The software for automated processing of the investigated data, created on the basis of the algorithm suggested by us, provides the opportunity to assess a vegetative control of the heart rate in various groups under investigation.

  1. Borisov V.I., Matusova A.P., Mudrova L.A., Reyman A.M. Analiz variabel’nosti serdechnogo ritma v otsenke sostoyanii bol’nykh infarktom miokarda [Analysis of heart rate variability in assessing the state of patients with myocardium infarction]. Nizhny Novgorod: NGMA; 1997.
  2. Sokolova N.A., Ivanova N.Ye., Panuntsev V.S., Kozyreva L.V. Evaluation of the vegetative dysfunction using heart rate variability analysis during nontraumatic intracranial hemorrhages. Byulleten’ sibirskoy meditsiny 2008; 7(5–2): 385–390.
  3. Denisov A.S., Vdovina N.V., Borisov V.I., Radaeva T.M. Variabel’nost’ serdechnogo ritma u detey zdorovykh i s nekotorymi nevrologicheskimi zabolevaniyami. V kn.: Materialy V Vserossiyskogo simpoziuma s mezhdunarodnym uchastiem “Variabel’nost’ serdechnogo ritma: teoreticheskie aspekty i prakticheskoe primenenie” [Heart rate variability in healthy children and those having some neurological diseases. In: Materials of V All-Russian Symposium with international participation “Heart rate variability: theoretical aspects and practical application”]. Izhevsk; 2011; p. 411–412.
  4. Gudkov G.V., Penzhoyan M.A. New approaches to assessment of pathological dynamics of the heart rate variability of a fetus in forecasting pеrinatal outcomes. Vestnik novykh meditsinskikh tekhnologiy 2009; 16(3): 191–193.
  5. Papaioannou V.E., Verkerk A.O., Amin A.S., de Bakker J.M. Intracardiac origin of heart rate variability, pacemaker funny current and their possible association with critical illeness. Curr Cardiol Rev 2013; 9(1): 82–96, http://dx.doi.org/10.2174/157340313805076359.
  6. Shlyk N.I., Sapozhnikova E.N., Kirillova T.G., Zhuzhgova A.P. About the peculiarities of orthostatic reaction of sportsmen with different types of vegetative regulation. Vestnik Udmurtskogo universiteta 2012; 6–1: 114–125.
  7. Denisov A.S., Vdovina N.V., Borisov V.I. Heart rate variability in different body positions in school-age children with different health and physical activity levels. Vestnik NNGU im. N.I. Lobachevskogo 2013; 5–1: 153–159.
  8. Baevskiy R.M., Ivanov G.G., Chireykin L.V., Gavrilushkin A.P., Dovgalevskiy P.Ya., Kukushkin Yu.A., Mironova T.F., Prilutskiy D.A., Semenov A.V., Fedorov V.F., Fleyshman A.N., Medvedev M.M. Analysis of heart rate variability using various electrocardiographic systems. Vestnik aritmologii 2001; 24: 69–85.
  9. Rodionov A. Klinicheskoe znachenie issledovaniya variabel’nosti serdechnogo ritma [Clinical value of heart rate variability study]. URL: www.medicus.ru/cardiology/spec/?cont=article&art_id=947.
  10. Sobolev A.V. Metody analiza variabel’nosti ritma serdtsa na dlitel’nykh promezhutkakh vremeni [Methods of heart rate variability analysis in the long time intervals]. Moscow: Medpraktika; 2009; 172 p.
  11. Fleyshman A.N. Variabel’nost’ ritma serdtsa i medlennye kolebaniya gemodinamiki: nelineynye fenomeny v klinicheskoy praktike [Heart rate variability and slow hemodynamics fluctuations: non-linear phenomena in clinical practice]. Novosibirsk: Izdatel’stvo Sibirskogo otdeleniya RAN; 2009; 194 p.
  12. Snezhitskiy V.A. Dysfunction of the sinus node: problems of diagnosis and treatment. Meditsinskie novosti 2003; 1: 22–26.
  13. Mangoni M.E., Nargeot J. Genesis and regulation of heart automaticity. Physiol Rev 2008; 88(3): 919–982, http://dx.doi.org/10.1152/physrev.00018.2007.
  14. Abramochkin D.V. Migratsiya voditelya ritma v sinoatrial’nom uzle i ee mekhanizmy. Dis. … kand. biol. nauk [Migration of the pacemaker rate in the sinoatrial node and its mechanisms. PhD Dissertation]. Moscow; 2009.
  15. R–R interval processing using BIOPAC’s HRV algorithm implementation. Application note 246. URL: http://www.biopac.com/Manuals/app_pdf/app246.pdf.
  16. Vdovina N.V., Denisov A.S. Varianty izmeneniya ritma serdtsa u detey shkol’nogo vozrasta pri ortostaticheskoy probe. V kn.: Ot krizisa k modernizatsii: mirovoy opyt i rossiyskaya praktika fundamental’nykh i prikladnykh nauchnykh razrabotok [Variants of heart rate alteration in school-age children using orthostatic test. In: From crisis to upgrading: world experience and Russian practice of fundamental and applied scientific developments]. Saint Petersburg; 2014; p. 34–39.
  17. Gubler E.V. Vychislitel’nye metody analiza i raspoznavanie patologicheskikh protsessov [Computational methods in the analysis and recognition of pathological processes]. Leningrad: Meditsina; 1978.
Denisov A.S., Borisov V.I., Volkova E.E., Vdovina N.V. A New Approach to the Analysis of Numeric Series of 100 R–R Intervals Duration in Studying Heart Rate Dynamics. Sovremennye tehnologii v medicine 2015; 7(4): 119, https://doi.org/10.17691/stm2015.7.4.16


Journal in Databases

pubmed_logo.jpg

web_of_science.jpg

scopus.jpg

crossref.jpg

ebsco.jpg

embase.jpg

ulrich.jpg

cyberleninka.jpg

e-library.jpg

lan.jpg

ajd.jpg

SCImago Journal & Country Rank