Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Comparison of Smart Watch Based Pulse Rate Variability with Heart Rate Variability

스마트워치에 기반한 맥박변이도를 이용한 심박변이도 예측 연구

  • Kim, Changjin (Department of Biomedical Engineering, School of Electrical Engineering, University of Ulsan) ;
  • Woo, Jihwan (Department of Biomedical Engineering, School of Electrical Engineering, University of Ulsan)
  • 김창진 (울산대학교 전기공학부 의공학전공) ;
  • 우지환 (울산대학교 전기공학부 의공학전공)
  • Received : 2018.02.19
  • Accepted : 2018.04.23
  • Published : 2018.04.30
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Abstract

The measurement of Heart Rate Variability (HRV) using electrocardiogram (ECG) signals has been used to predict fatigue and stress levels in a clinical environment, yet, owing to the complexity of such ECG systems, a domestic, nonclinical monitoring of HRV has not been a practical possibility. Recently though, Pulse Rate Variability (PRV) has been studied as an alternative to HRV. In this study, we investigated the reliability of measuring PRV by means of a smartwatch. The PRV results were compared to HRV results in similar test conditions, i.e. those obtained under rapid and deep-breathing scenarios. From the results obtained, it transpires that the Bland-Altman ratio and cross-correlation coefficients between several PRV and HRV parameters were highly correlated, thus suggesting that the results of measuring PRV using a smartwatch can be used to predict HRV in nonclinical environments.

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References

  1. R. M. Hamilton, P. S. McKechnie, and P. W. Macfarlane, "Can cardiac vagal tone be estimated from the 10-second ECG?," International Journal of Cardiology, vol. 95, pp. 109-115, 2004. https://doi.org/10.1016/j.ijcard.2003.07.005
  2. A. Schafer and J. Vagedes, "How accurate is pulse rate variability as an estimate of heart rate variability? A review on studies comparing photoplethysmographic technology with an electrocardiogram," Int J Cardiol, vol. 166, pp. 15-29, 2013. https://doi.org/10.1016/j.ijcard.2012.03.119
  3. S. Lu, H. Zhao, K. Ju, K. Shin, M. Lee, K. Shelley, and K. H. Chon, "Can Photoplethysmography Variability Serve as an Alternative Approach to Obtain Heart Rate Variability Information?," Journal of Clinical Monitoring and Computing, vol. 22, pp. 23-29, 2008. https://doi.org/10.1007/s10877-007-9103-y
  4. E. Gil, M. Orini, R. Bailon, J. M. Vergara, L. Mainardi, and P. Laguna, "Photoplethysmography pulse rate variability as a surrogate measurement of heart rate variability during nonstationary conditions," Physiol Meas, vol. 31, pp. 1271-1290, 2010. https://doi.org/10.1088/0967-3334/31/9/015
  5. R. W. Shields, Jr., "Heart rate variability with deep breathing as a clinical test of cardiovagal function," Cleve Clin J Med, vol. 76 Suppl 2, pp. S37-40, 2009.
  6. L. G. Porto and L. F. Junqueira, Jr., "Comparison of timedomain short-term heart interval variability analysis using a wrist-worn heart rate monitor and the conventional electrocardiogram," Pacing Clin Electrophysiol, vol. 32, pp. 43-51, 2009. https://doi.org/10.1111/j.1540-8159.2009.02175.x
  7. A. Tarniceriu, J. Parak, P. Renevey, M. Nurmi, M. Bertschi, R. Delgado-Gonzalo, and I. Korhonen, "Towards 24/7 continuous heart rate monitoring," Conf Proc IEEE Eng Med Biol Soc, vol. 2016, pp. 186-189, 2016.
  8. S. W. Weinschenk, R. D. Beise, and J. Lorenz, "Heart rate variability (HRV) in deep breathing tests and 5-min shortterm recordings: agreement of ear photoplethysmography with ECG measurements, in 343 subjects," Eur J Appl Physiol, vol. 116, pp. 1527-1535, 2016. https://doi.org/10.1007/s00421-016-3401-3
  9. R. E. Natascha Ille, Christine Aurich, Jörg Aurich,, "Comparison of heart rate and heart rate variability obtained by heart rate monitors and simultaneously recorded electrocardiogram signals in nonexercising horses," Journal of Veterinary Behavior: Clinical Applications and Research, vol. 9, pp. 341-346, 2014. https://doi.org/10.1016/j.jveb.2014.07.006
  10. M. P. Tarvainen, J. P. Niskanen, J. A. Lipponen, P. O. Ranta- Aho, and P. A. Karjalainen, "Kubios HRV--heart rate variability analysis software," Comput Methods Programs Biomed, vol. 113, pp. 210-220, 2014. https://doi.org/10.1016/j.cmpb.2013.07.024
  11. N. D. Giardino, P. M. Lehrer, and R. Edelberg, "Comparison of finger plethysmograph to ECG in the measurement of heart rate variability," Psychophysiology, vol. 39, pp. 246-253, 2002. https://doi.org/10.1111/1469-8986.3920246
  12. D. Giavarina, "Understanding Bland Altman analysis," Biochem Med (Zagreb), vol. 25, pp. 141-151, 2015. https://doi.org/10.11613/BM.2015.015
  13. J. S. Wong, W. A. Lu, K. T. Wu, M. Liu, G. Y. Chen, and C. D. Kuo, "A comparative study of pulse rate variability and heart rate variability in healthy subjects," J Clin Monit Comput, vol. 26, pp. 107-114, 2012. https://doi.org/10.1007/s10877-012-9340-6