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A comparative study of pulse rate variability and heart rate variability in healthy subjects

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Abstract

Both heart rate variability (HRV) and pulse rate variability (PRV) are noninvasive means for the assessment of autonomic nervous control of the heart. However, it is not settled whether or not the PRV obtained from either hand can be the surrogate of HRV. The HRV measures obtained from electrocardiographic signals and the PRV measures obtained from the pulse waves recorded from the index fingers of both hands were compared in normal subjects by using linear regression analysis and Bland and Altman method. Highly significant correlations (P < 0.001, 0.89 < r < 1.0) were found between all HRV measures and the corresponding PRV measures of both hands. However, there were insufficient agreements in some measures between pairwise comparisons among HRV, right PRV and left PRV except heart rate and ultra-low frequency power (ULFP). The PRV of either hand is close to, but not the same as the HRV in healthy subjects. The HRV, right PRV and left PRV are not surrogates of one another in normal subjects except heart rate and ULFP. Since HRV is generally accepted as the standard method for the assessment of the autonomic nervous modulation of a subject, the PRV of either hand may not be suitable for the assessment of the cardiac autonomic nervous modulation of the subject.

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References

  1. Huikuri HV. Heart rate variability in coronary artery disease. J Intern Med. 1995;237:349–57.

    Article  PubMed  CAS  Google Scholar 

  2. Raczak G, Pinna GD, La Rovere MT, et al. Cardiovagal response to acute mild exercise in young healthy subjects. Circ J. 2005;69:976–80.

    Article  PubMed  Google Scholar 

  3. Yanaqi S, Yoshinaqa M, Horiqome H, et al. Heart rate variability and ambulatory blood pressure monitoring in young patients with hypertrophic cardiomyopathy. Circ J. 2004;68:757–62.

    Article  Google Scholar 

  4. Bigger JT, Fleiss JL, Rolnitzky LM, et al. The ability of several short-term measures of RR variability to predict mortality after myocardial infarction. Circulation. 1993;88:927–34.

    PubMed  CAS  Google Scholar 

  5. Lombardi F, Sandrone G, Pernpruner S, et al. Heart rate variability as an index of sympathovagal interaction after acute myocardial infarction. Am J Cardiol. 1987;60:1239–45.

    Article  PubMed  CAS  Google Scholar 

  6. Kleiger RE, Stein PK, Bigger JT. Heart rate variability: measurement and clinical utility. Ann Noninvasive Electrocardiol. 2005;10:88–101.

    Article  PubMed  Google Scholar 

  7. Pontet J, Contreras P, Curbelo A, et al. Heart rate variability as early marker of multiple organ dysfunction syndrome in septic patients. J Crit Care. 2003;18:156–63.

    Article  PubMed  Google Scholar 

  8. Barnaby D, Ferrick K, Kaplan DT, et al. Heart rate variability in emergency department patients with sepsis. Acad Emerg Med. 2002;9:661–70.

    Article  PubMed  Google Scholar 

  9. McKinley PS, Shapiro PA, Bagiella E, et al. Deriving heart period variability from blood pressure waveforms. J Appl Physiol. 2003;95:1431–8.

    PubMed  Google Scholar 

  10. Srinivas K, Reddy L, Srinivas R. Third Kuala Lumpur international conference on biomedical engineering 2006. In: Estimation of heart rate variability from peripheral pulse wave using PPG sensors, vol. 15. Springer Berlin; 2007. P 325–328.

  11. Carrasco S, González R, Jiménez J, et al. Comparison of the heart rate variability parameters obtained from the electrocardiogram and the blood pressure wave. J Med Eng Technol. 1998;22:195–205.

    Article  PubMed  CAS  Google Scholar 

  12. Lucena F, Barros AK, Takeuchi Y, et al. Heart instantaneous frequency based estimation of HRV from blood pressure waveforms. IEICE Trans Inform Syst. 2009;E92-D:529–537.

  13. Constant I, Laude D, Murat I, et al. Pulse rate variability is not a surrogate for heart rate variability. Clin Sci. 1999;97:391–7.

    Article  PubMed  CAS  Google Scholar 

  14. Chuang SS, Shih CC, Yang JL, et al. Power spectral analysis of finger plethysmographic waveform in patients with coronary artery disease and after coronary artery bypass graft surgery. Circ J. 2006;70:1337–43.

    Article  PubMed  Google Scholar 

  15. Mitchell GF, Pfeffer MA, Finn PV, et al. Comparison of techniques for measuring pulse-wave velocity in the rat. J Appl Physiol. 1997;82:203–10.

    PubMed  CAS  Google Scholar 

  16. Hayano J, Barros AK, Kamiya A, et al. Assessment of pulse rate variability by the method of pulse frequency demodulation. Biomed Eng Online. 2005;4:62.

    Article  PubMed  Google Scholar 

  17. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation 1996;93:1043–65.

    Google Scholar 

  18. Pomeranz B, Macaulay RJ, Caudill MA, et al. Assessment of autonomic function in humans by heart rate spectral analysis. Am J Physiol. 1985;248:H151–3.

    PubMed  CAS  Google Scholar 

  19. Taylor JA, Carr DL, Myers CW, et al. Mechanisms underlying very-low-frequency RR-interval oscillations in humans. Circulation. 1998;98:547–55.

    PubMed  CAS  Google Scholar 

  20. Lu WA, Kuo CD. The effect of Tai Chi Chuan on the autonomic nervous modulation in older persons. Med Sci Sport Exerc. 2003;35:1972–6.

    Article  Google Scholar 

  21. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307–10.

    Article  PubMed  CAS  Google Scholar 

  22. Radespiel-Troger M, Rauh R, Mahlke C, Gottschalk T, Muck-Weymann M. Agreement of two different methods for measurement of heart rate variability. Clin Auton Res. 2003;13:99–102.

    Article  PubMed  Google Scholar 

  23. Rauh R, Limley R, Bauer R, Radespiel-Troger M, Muck-Weymann M. Comparison of heart rate variability and pulse rate variability detected with photoplethysmography. Proc Soc Photo-Opt Instrum Eng. 2004;5474:115–26.

    Google Scholar 

  24. Kleiger RE, Stein PK, Bosner MS, et al. Time domain measurements of heart rate variability. Cardiol Clin. 1992;10:487–98.

    PubMed  CAS  Google Scholar 

  25. Ori Z, Monir G, Weiss J, et al. Heart rate variability: frequency domain analysis. Cardiol Clin. 1992;10:499–537.

    PubMed  CAS  Google Scholar 

  26. Alekseeva I, Malkina TA, Sokolov SF. Interrelationship between changes of rate and variability of cardiac rhythm under influence of beta-adrenoblockers. Kardiologiia. 2007;47:24–34.

    PubMed  Google Scholar 

  27. Shusterman V, Aysin B, Gottipaty V, et al. Autonomic nervous system activity and the spontaneous initiation of ventricular tachycardia. ESVEM investigators. Electrophysiologic study versus electrocardiographic monitoring trial. J Am Coll Cardiol. 1998;32:1891–8.

    Article  PubMed  CAS  Google Scholar 

  28. Khandoker AH, Karmakar CK, Palaniswami M. Comparison of pulse rate variability with heart rate variability during obstructive sleep apnea. Med Eng Phys. 2011;33:204–9.

    Article  PubMed  Google Scholar 

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Acknowledgments

This work was supported by a grant VGHTPE93-361-5 from Taipei Veterans General Hospital, and a grant CCMP95-TP-040 from the Committee on Chinese Medicine and Pharmacy, Department of Health, Taipei, Taiwan.

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Correspondence to Cheng-Deng Kuo.

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Wan-An Lu and Kung-Tai Wu contributed equally with the first author.

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Wong, JS., Lu, WA., Wu, KT. et al. A comparative study of pulse rate variability and heart rate variability in healthy subjects. J Clin Monit Comput 26, 107–114 (2012). https://doi.org/10.1007/s10877-012-9340-6

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  • DOI: https://doi.org/10.1007/s10877-012-9340-6

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