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Comparison of three mobile devices for measuring R–R intervals and heart rate variability: Polar S810i, Suunto t6 and an ambulatory ECG system

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Abstract

The first aim of this study was to compare an ambulatory five-lead ECG system with the commercially available breast belt measuring devices; Polar S810i and Suunto t6, in terms of R–R interval measures and heart rate variability (HRV) indices. The second aim was to compare different HRV spectral analysis methods. Nineteen young males (aged between 22 and 31 years, median 24 years) underwent simultaneous R–R interval recordings with the three instruments during supine and sitting rest, moderate dynamic, and moderate to vigorous static exercise of the upper and lower limb. For each subject, 17 R–R interval series of 3-min length were extracted from the whole recordings and then analyzed in frequency domain using (1) a fast Fourier transform (FFT), (2) an autoregressive model (AR), (3) a Welch periodogram (WP) and (4) a continuous wavelet transform (CWT). Intra-class correlation coefficients (ICC) and Bland–Altman limits of agreement (LoA) method served as criteria for measurement agreement. Regarding the R–R interval recordings, ICC (lower ICC 95% confidence interval >0.99) as well as LoA (maximum LoA: −15.1 to 14.3 ms for ECG vs. Polar) showed an excellent agreement between all devices. Therefore, the three instruments may be used interchangeably in recording and interpolation of R–R intervals. ICCs for HRV frequency parameters were also high, but in most cases LoA analysis revealed unacceptable discrepancies between the instruments. The agreement among the different frequency transform methods can be taken for granted when analyzing the normalized power in low and high frequency ranges; however, not when analyzing the absolute values.

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Abbreviations

CI:

Confidence interval

HRV:

Heart rate variability

SD:

Standard deviation

ICC:

Intra-class correlation coefficient

HF:

High frequency

HR:

Heart rate

LF:

Low frequency

LF/HF:

Ratio of low and high frequency power, sympatho-vagal balance

R–R interval:

Inter-beat interval, time between two consecutive R waves

FFT:

Fast Fourier transform

AR:

Autoregressive model

WP:

Welch’s periodogram

CWT:

Continuous wavelet transform

References

  • Backs RW (1995) Going beyond heart rate: autonomic space and cardiovascular assessment of mental workload. Int J d Psychology 5:25–48

    CAS  Google Scholar 

  • Belova NY, Mihaylov SV, Piryova BG (2007) Wavelet transform: a better approach for the evaluation of instantaneous changes in heart rate variability. Auton Neurosci 131:107–122

    Article  PubMed  Google Scholar 

  • Berntson GG, Bigger T Jr, Eckberg DL, Grossman P, Kaufmann PG, Malik M, Nagaraja HN, Porges SW, Saul JP, Stone PH, van der Molen MW (1997) Heart rate variability: origins methods, and interpretive caveats. Psychophysiology 34:623–648

    Article  CAS  PubMed  Google Scholar 

  • Bland JM, Altman DG (2007) Agreement between methods of measurement with multiple observations per individual. J Biopharm Stat 17:571–582

    Article  PubMed  Google Scholar 

  • Bürklein M, Vogt L, Banzer W (2005) Cross validation of heart rate variability measurements before and after exercise. Dtsch Z Sportmed 56:415–421

    Google Scholar 

  • Clifford GD, Tarassenko L (2005) Quantifying errors in spectral estimates of HRV due to beat replacement and resampling. IEEE Trans Biomed Eng 52:630–638

    Article  PubMed  Google Scholar 

  • Gamelin FX, Berthoin S, Bosquet L (2006) Validity of the Polar S810 heart rate monitor to measure R–R intervals at rest. Med Sci Sports Exerc 38:887–893

    Article  PubMed  Google Scholar 

  • Gamelin FX, Baquet G, Berthoin S, Bosquet L (2008) Validity of the Polar S810 to measure R–R intervals in children. Int J Sports Med 29:134–138

    Article  PubMed  Google Scholar 

  • Hernandez-Garcia R, Torres-Luque G, Villaverde-Gutierrez C (2009) Physiological requirements of judo combat. Int J Sports Med 10:145–151

    Google Scholar 

  • Hottenrott K, Hoos O, Esperer HD (2006) Heart rate variability and physical exercise. Current status. Herz 31:544–552

    Article  PubMed  Google Scholar 

  • Kaber DB, Perry CM, Segall N, Sheik-Nainar MA (2007) Workload state classification with automation during simulated air traffic control. Int J Aviat Psychol 17:371–390

    Google Scholar 

  • Kingsley M, Lewis MJ, Marson RE (2005) Comparison of Polar 810s and an ambulatory ECG system for RR interval measurement during progressive exercise. Int J Sports Med 26:39–44

    Article  CAS  PubMed  Google Scholar 

  • Kiviniemi AM, Hautala AJ, Kinnunen H, Tulppo MP (2007) Endurance training guided individually by daily heart rate variability measurements. Eur J Appl Physiol 101:743–751

    Article  PubMed  Google Scholar 

  • Kumar M, Weippert M, Vilbrandt R, Kreuzfeld S, Stoll R (2007) Fuzzy evaluation of heart rate signals for mental stress assessment. IEEE Trans Fuzzy Syst 15:791–808

    Article  Google Scholar 

  • Nunan D, Jakovljevic DG, Donovan G, Hodges LD, Sandercock GR, Brodie DA (2008) Levels of agreement for RR intervals and short-term heart rate variability obtained from the Polar S810 and an alternative system. Eur J Appl Physiol 103:529–537

    Article  PubMed  Google Scholar 

  • Porges SW (2007) The polyvagal perspective. Biol Psychol 74:116–143

    Article  PubMed  Google Scholar 

  • Roy RA, Boucher JP, Comtois AS (2009) Heart rate variability modulation after manipulation in pain-free patients vs patients in pain. J Manipulative Physiol Ther 32:277–286

    Article  PubMed  Google Scholar 

  • Sandercock GR, Shelton C, Bromley P, Brodie DA (2004) Agreement between three commercially available instruments for measuring short-term heart rate variability. Physiol Meas 25:1115–1124

    Article  CAS  PubMed  Google Scholar 

  • Schandry R (1981) Psychophysiologie. Urban & Schwarzenberg, München

    Google Scholar 

  • Turner SE, Eastwood PR, Cecins NM, Hillman DR, Jenkins SC (2004) Physiologic responses to incremental and self-paced exercise in COPD: a comparison of three tests. Chest 126:766–773

    Article  PubMed  Google Scholar 

  • Van Ravenswaaij-Arts CMA, Kollee LAA, Hopman JCW, Stoelinga GBA, van Geijn HP (1993) Heart rate variability. Ann Intern Med 118:436–447

    PubMed  Google Scholar 

  • Vanderlei LC, Silva RA, Pastre CM, Azevedo FM, Godoy MF (2008) Comparison of the Polar S810i monitor and the ECG for the analysis of heart rate variability in the time and frequency domains. Braz J Med Biol Res 41:854–859

    Article  CAS  PubMed  Google Scholar 

  • Verlinde D, Beckers F, Ramaekers D, Aubert AE (2001) Wavelet decomposition analysis of heart rate variability in aerobic athletes. Auton Neurosci 90:138–141

    Article  CAS  PubMed  Google Scholar 

  • Wirtz PH, Elsenbruch S, Emini L, Rüdisüli K, Groessbauer S, Ehlert U (2007) Perfectionism and the cortisol response to psychosocial stress in men. Psychosom Med 69:249–255

    Article  PubMed  Google Scholar 

  • Zhang JQ, Ji LL, Fogt DL, Fretwell VS (2007) Effect of exercise duration on postprandial hypertriglyceridemia in men with metabolic syndrome. J Appl Physiol 103:1339–1345

    Article  PubMed  Google Scholar 

  • Zhong Y, Jan KM, Ju KH, Chon KH (2006) Quantifying cardiac sympathetic and parasympathetic nervous activities using principal dynamic modes analysis of heart rate variability. Am J Physiol Heart Circ Physiol 291:1475–1483

    Article  Google Scholar 

  • Ziemssen T, Gasch J, Ruediger H (2008) Influence of ECG sampling frequency on spectral analysis of RR intervals and baroreflex sensitivity using the EUROBAVAR data set. J Clin Monit Comput 22:159–168

    Article  PubMed  Google Scholar 

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Acknowledgments

The authors thank the reviewers for their valuable comments and advice. The authors declare that they have no competing interests such as funding or personal financial interest.

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Correspondence to Matthias Weippert.

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Communicated by Keith George.

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Weippert, M., Kumar, M., Kreuzfeld, S. et al. Comparison of three mobile devices for measuring R–R intervals and heart rate variability: Polar S810i, Suunto t6 and an ambulatory ECG system. Eur J Appl Physiol 109, 779–786 (2010). https://doi.org/10.1007/s00421-010-1415-9

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  • DOI: https://doi.org/10.1007/s00421-010-1415-9

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