A computational insight into cardiac beat-to-beat intervals variability: from normal to pathological

Authors

  • Ștefan-Claudiu Mirescu Babeș-Bolyai University, Cluj-Napoca.  E-mail: claudiu.mirescu@gmail.com
  • Firuța-Liliana Ardelean Babeș-Bolyai University, Cluj-Napoca. Email: firuta.ardelean@ubbcluj.ro
  • Octavian POPESCU Babeș-Bolyai University, Cluj-Napoca. Email: octavian.popescu@ubbcluj.ro https://orcid.org/0000-0002-2597-7155

DOI:

https://doi.org/10.24193/subbbiol.2018.2.14

Keywords:

computerized instrumentation, electrocardiography, fast Fourier transforms, MATLAB, nonlinear dynamical system.

Abstract

Over the past 100 years, electrocardiography (ECG) has provided essential information for diagnosing patients with cardiovascular diseases. Despites the large clinical usefulness of classic paper printed 12-lead ECG, along with the accelerated development of computerized data acquisition, beat-to-beat methods of ECG analysis were developed, providing new information in the field of heart rate variability (HRV). The objectives of the study were to establish HRV parameters behavior in healthy subjects and in diabetes mellitus patients, as well as to evaluate HRV during acute cigarette smoking. The results concluded that HRV parameters describe statistically significant lower values in diabetic patients compared to healthy subjects, signifying a decreased response of the heart conduction system to autonomic stimuli. Concerning smoking, the study concluded that during smoking and ten minutes after, HRV parameters presented lower values than before smoking, as revealed by visual (2D and 3D) and analytical HRV methods. Our study is one of the few in literature that focuses on the acute effects of cigarette smoking, rather than the well-known long term effects of this wide-spread habit.

Author Biographies

Ștefan-Claudiu Mirescu, Babeș-Bolyai University, Cluj-Napoca.  E-mail: claudiu.mirescu@gmail.com

Babeș-Bolyai University, Department of Molecular Biology and Biotechnology, Cluj-Napoca.

Municipal Hospital Cluj-Napoca, Department of Pathology, Cluj-Napoca.

 E-mail: claudiu.mirescu@gmail.com

Firuța-Liliana Ardelean, Babeș-Bolyai University, Cluj-Napoca. Email: firuta.ardelean@ubbcluj.ro

Babeș-Bolyai University, Department of Molecular Biology and Biotechnology, Cluj-Napoca. Email: firuta.ardelean@ubbcluj.ro

Octavian POPESCU, Babeș-Bolyai University, Cluj-Napoca. Email: octavian.popescu@ubbcluj.ro

Babeș-Bolyai University, Department of Molecular Biology and Biotechnology, Cluj-Napoca. Email: octavian.popescu@ubbcluj.ro

References

Acharya, U. R., Joseph, K. P., Kannathal, N., Lim, C. M., Suri J. S. (2006) Heart rate variability: a review, Med. Biol. Eng. Comput. 44: 1031–1051

Aubert, E., Beckers, F., Ramaekers D. (2002) Approximate Entropy of Heart Rate Variability: Validation of Methods and Application in Heart Failure, J. Appl. Physiol. 1:177–182, doi: 10.1109/10.24251

Aubert, A. E., Seps, B., Beckers F. (2003) Heart rate variability in athletes, Sport. Med. 33:889–919, doi: 10.2165/00007256-200333120-00003

Billman, G. E. (2013) The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance, Front. Physiol. 4:1–5, doi:10.3389/fphys.2013.00026

Brennan M., Palaniswami, M., Kamen P. (2001) Do existing measures of Poincaré plot geometry reflect nonlinear features of heart rate variability?, IEEE Trans. Biomed. Eng. 48:1342–1347, doi: 10.1109/10.959330

Carel, R. S. (1982) Cost-effectiveness analysis of computerized ECG interpretation system in an ambulatory health care organization, J. Med. Syst. 6:121–30, PMID: 6804587

Carvajal, R., Wessel, N., Vallverdú, M., Caminal, P., Voss, A. (2005) Correlation dimension analysis of heart rate variability in patients with dilated cardiomyopathy, Comput. Methods Programs Biomed. 78:133–140, doi:10.1016/j.cmpb.2005.01.004

Chevalier, G., Sinatra S. T. (2011) Emotional Stress Heart Rate Variability, Grounding, and Improved Autonomic Tone: Clinical Applications, Integr. Med. 10:16–22

Gardim, C., de Oliveira, B., Bernardo A, Gomes, R., Pacagnelli, F., Lorençoni, R., Vanderlei, L. (2014) Heart rate variability in children with type 1 diabetes mellitus, Rev. Paul Pediatr. 32:279–285. doi:10.1590/0103-0582201432215513

Gondim, R. M., Farah, B. Q., Santos, F., Ritti-Dias, R. M. (2015) Are smoking and passive smoking related with heart rate variability in male adolescents?, Einstein (Sao Paulo) 13:27–33, doi:10.1590/S1679-45082015AO3226

Hongo R. H., Goldschlager, N. (2006) Status of Computerized Electrocardiography, Cardiol. Clin. 24:491–504, doi: 10.1016/j.ccl.2006.03.005

Jaiswal, M., Urbina, E. M., Wadwa, R. P., Talton, J. W., D’Agostino, R. B., Hamman, R. F., Fingerlin, T. E., Daniels, S., Marcovina, S. M., Dolan, L. M., Dabelea, D. (2013) Reduced heart rate variability among youth with type 1 diabetes: The SEARCH CVD study, Diabetes Care 36:157–162, PMID: 22961570

Karakaya, O. (2007) Acute effect of cigarette smoking on heart rate variability, Angiology 58:620–4, doi:10.1590/S1679-45082015AO3226

Lokhandwala, Y. Y., Rodriguez, L. M. (1999) Heart rate variability, Indian Heart J. 46:125–129. PMID: 7875697

Makivić, B., Nikić, D., Willis, S. (2013) Heart Rate Variability (HRV) as a Tool for Diagnostic and Monitoring Performance in Sport and Physical Activities, J. Exerc. Physiol. 16:103–131

Medeiros, J. M. (2010) Development of a Heart Rate Variability analysis tool, Coimbra

Mirescu, Ș. C. (2015) Computer sound card used as analog-to-digital converter in a teaching physiology laboratory, Studia UBB Biologia 60:85–88

Mirescu, Ş. C., Harden S. W. (2012a) Nonlinear Dynamics Methods for Assessing Heart Rate Variability in Patients With Recent Myocardial Infarction, Rom. J. Biophys. 22:117–124

Mirescu, Ş. C., Harden S. W. (2012b) Photopletismography as a Potential Alternative to Electrocardiography for Recording Heart Rate Intervals Used in Variability Analysis, J Med Life 5 (Special Issue):123–127

Mirescu, Ș. C., Petrescu, M., Petrescu, F., Mirescu, N. C., David L. (2016) Challenges in implementing heart rate variability testing in a family medicine practice: strengths, pitgalls and caveats, Studia UBB Biologia 59:105–113

Noble, R. J., Hillis, J. S., Rothbaum, D. A. (1990) Electrocardiography - Clinical Methods: The History, Physical, and Laboratory Examinations, 3rd Ed. Butterworths, pp. 164–165, PMID: 21250195

Nunan, D., Sandercock, G. R. H., Brodie, D. A. (2010) A quantitative systematic review of normal values for short-term heart rate variability in healthy adults, PACE - Pacing Clin. Electrophysiol. 33:1407–1417, doi:10.1111/j.1540-8159.2010.02841.x

Orlov, S., Bril, V., Orszag, A., Perkins, B. A. (2012) Heart rate variability and sensorimotor polyneuropathy in type 1 diabetes, Diabetes Care 35:809–816, doi:10.2337/dc11-1652

Qu, Z., Weiss J. N. (2006) Dynamics and cardiac arrhythmias, J. Cardiovasc. Electrophysiol. 17:1042–1049, doi: 10.1111/j.1540-8167.2006.00567.x

Taelman, J., Vandeput, S., Spaepen, A., Van Huffel, S. (2009) Influence of Mental Stress on Heart Rate and Heart Rate Variability, Heart 29:1366–1369, doi:10.1007/978-3-540-89208-3_324

Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology (1996) Heart rate variability. Standards of measurement, physiological interpretation, and clinical use, Eur. Heart J. 17:354–381, doi: 10.1161/01.cir.93.5.1043

Tininenko, J. R., Measelle, J. R., Ablow, J. C., High, R. (2011) Respiratory control when measuring respiratory sinus arrhythmia during a talking task, Biol. Psychol., 89:562–569, doi:10.1016/j.biopsycho.2011.12.022

Tsai, J. F., Cho, W., Jou, S. H., Lin, C. M. (2014) Heart rate variability and meditation with breath suspension, Biomed. Res. 25:6–10

Von Borell, E., Langbein, J., Després, G., Hansen, S., Leterrier, C., Marchant-Forde, J., Marchant-Forde, R., Minero, M., Mohr, E., Prunier, A., Valance, D., Veissier, I. (2007) Heart rate variability as a measure of autonomic regulation of cardiac activity for assessing stress and welfare in farm animals - A review, Physiol. Behav. 92:293–316, doi:10.1016/j.physbeh.2007.01.007

Downloads

Published

2018-12-17

How to Cite

Mirescu, Ștefan-C., Ardelean, F.-L., & POPESCU, O. (2018). A computational insight into cardiac beat-to-beat intervals variability: from normal to pathological. Studia Universitatis Babeș-Bolyai Biologia, 63(2), 183–197. https://doi.org/10.24193/subbbiol.2018.2.14

Issue

Section

Articles

Most read articles by the same author(s)