Skip to main content

Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments

  • Conference paper
  • First Online:
Wireless Mobile Communication and Healthcare (MobiHealth 2020)

Abstract

Hypertension is one of the most common health conditions in modern society. Accurate blood pressure monitoring in free-living conditions is important for the precise diagnosis and management of hypertension. In tandem with the advances in wearable and ubiquitous technologies, a medical-grade wearable blood pressure monitor–Omron HeartGuideTM wristwatch–has recently entered the consumer market. It uses the same mechanism as the upper arm blood pressure monitors and has been calibrated in laboratory settings. Nevertheless, its accuracy “in the wild” has not been investigated. This study aims to investigate the accuracy of the HeartGuideTM against a medical-grade upper arm blood pressure monitor HEM-1022 in free-living environments. Analysis results suggest that the HeartGuideTM significantly underestimated systolic pressure and diastolic pressure by an average of 16 mmHg and 6 mmHg respectively. Lower discrepancy between the two devices on diastolic pressure was observed when diastolic pressure increased. In addition, the two devices agreed well on heart rate readings. We also found that device accuracy was related to systolic pressure, heart rate, body temperature and ambient temperature, but was not related salivary cortisol level, diastolic pressure, ambient humidity and air pressure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Zhang, Y., Vittinghoff, E., Pletcher, M.J., et al.: Associations of blood pressure and cholesterol levels during young adulthood with later cardiovascular events. J. Am. Coll. Cardiol. 74(3), 330–341 (2019)

    Article  Google Scholar 

  2. Satoh, M., Asayama, K., Kikuya, M., et al.: Long-term stroke risk due to partial white-coat or masked hypertension based on home and ambulatory blood pressure measurements: the Ohasama study. Hypertension 67, 48–55 (2016)

    Article  Google Scholar 

  3. Forouzanfar, M.H., Liu, P., Roth, G.A., et al.: Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm Hg, 1990–2015. J. Am. Med. Assoc. 317(2), 165–182 (2017)

    Article  Google Scholar 

  4. Tucker, K.L., Sheppard, J.P., Stevens, R., et al.: Self-monitoring of blood pressure in hypertension: a systematic review and individual patient data meta-analysis. PLoS Med. 14(9), e1002389 (2017)

    Article  Google Scholar 

  5. Bray, E.P., Holder, R., Mant, J., McManus, R.J.: Does self-monitoring reduce blood pressure? Meta-analysis with meta-regression of randomized controlled trials. Ann. Med. 42(5), 371–386 (2010)

    Article  Google Scholar 

  6. Uhlig, K., Patel, K., Ip, S., et al.: Self-measured blood pressure monitoring in the management of hypertension: a systematic review and meta-analysis. Ann. Intern. Med. 159(3), 185–194 (2013)

    Article  Google Scholar 

  7. Smolensky, M.H., Hermida, R.C., Portaluppi, F.: Circadian mechanisms of 24-hour blood pressure regulation and patterning. Sleep Med. Rev. 33, 4–16 (2017)

    Article  Google Scholar 

  8. Briasoulis, A., Androulakis, E., Palla, M., et al.: White-coat hypertension and cardiovascular events: a meta-analysis. J. Hypertens. 34(4), 593–599 (2016)

    Article  Google Scholar 

  9. Kario, K., Thijs, L., Staessen, J.A.: Blood pressure measurement and treatment decisions masked and white-coat hypertension. Circ. Res. 124(7), 990–1008 (2019)

    Article  Google Scholar 

  10. Hansen, T.W., Thijs, L., Li, Y., et al.: Prognostic value of reading-to-reading blood pressure variability over 24 h in 8938 subjects from 11 populations. Hypertension 55, 1049–1057 (2018)

    Article  Google Scholar 

  11. Asayama, K., Satoh, M., Kiyuya, M.: Diurnal blood pressure changes. Hypertens. Res. 41, 669–678 (2018)

    Article  Google Scholar 

  12. Piper, M.A., Evans, C.V., Burda, B.U., et al.: Diagnosis and predictive accuracy of blood pressure screening methods with consideration of rescreening intervals: a systematic review for the U.S. preventive services task force. Ann. Intern. Med. 162, 192–204 (2015)

    Article  Google Scholar 

  13. Appel, L.J.: The effects of dietary factors on blood pressure. Cardiol. Clin. 35(2), 197–212 (2017)

    Article  Google Scholar 

  14. Gómez-Pardo, E., Fernández-Alvira, J.M., Vilanova, M., et al.: A comprehensive lifestyle peer group-based intervention on cardiovascular risk factors: the randomized controlled fifty-fifty program. J. Am. Coll. Cardiol. 67(5), 476–485 (2016)

    Article  Google Scholar 

  15. Babbs, C.F.: Oscillometric measurement of systolic and diastolic blood pressures validated in a physiologic mathematical model. BioMed. Eng. OnLine 11, 56 (2012)

    Article  Google Scholar 

  16. Geddes, L.A., Voelz, M., Combs, C., et al.: Characterization of the oscillometric method for measuring indirect blood pressure. Ann. Biomed. Eng. 10, 271–280 (1982)

    Article  Google Scholar 

  17. Heyen, N.B.: From self-tracking to self-expertise: the production of self-related knowledge by doing personal science. Public Understand. Sci. 29(2), 124–138 (2020)

    Article  Google Scholar 

  18. Liang, Z., et al.: SleepExplorer: a visualization tool to make sense of correlations between personal sleep data and contextual factors. Pers. Ubiquit. Comput. 20(6), 985–1000 (2016). https://doi.org/10.1007/s00779-016-0960-6

    Article  Google Scholar 

  19. White, G., Liang, Z., Clarke, S.: A quantified-self framework for exploring and enhancing personal productivity. In: Proceedings of CBMI 2019, pp. 1–6 (2010)

    Google Scholar 

  20. Liang, Z., Chapa-Martell, M.A.: Framing self-quantification for individual-level preventive health care. In: Proceedings of HEALTHINF 2015, pp. 336–343 (2015)

    Google Scholar 

  21. Majmudar, M.D., Colucci, L.A., Landman, A.B.: The quantified patient of the future: opportunities and challenges. Healthcare 3, 153–156 (2015)

    Article  Google Scholar 

  22. Liang, Z., Chapa-Martell, M.A.: Validity of consumer activity wristbands and wearable EEG for measuring overall sleep parameters and sleep structure in free-living conditions. J. Healthcare Inf. Res. 2(1–2), 152–178 (2018)

    Article  Google Scholar 

  23. Liang, Z., Ploderer, B., Chapa-Martell, M.A.: Is fitbit fit for sleep-tracking? Sources of measurement errors and proposed countermeasures. In: Proceedings of Pervasive Health 2017, pp. 476–479 (2017)

    Google Scholar 

  24. Liang, Z., Ploderer, B.: “How does Fitbit measure brainwaves”: a qualitative study into the credibility of sleep-tracking technologies. Interact. Mobile Wearable Ubiquit. Technol. (IMWUT) 4(1), 17 (2020)

    Google Scholar 

  25. Liang, Z., Ploderer, B.: Sleep tracking in the real world: a qualitative study into barriers for improving sleep. In: Proceedings of the 28th OzCHI, pp. 537–541 (2016)

    Google Scholar 

  26. Li, Y., Guo, Y.: Wiki-Health: from quantified self to self-understanding. Future Gener. Comput. Syst. 56, 333–359 (2016)

    Article  Google Scholar 

  27. Bland, J.M., Altman, D.G.: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1(8476), 307–310 (1986)

    Article  Google Scholar 

  28. Higgins, P.A., Straub, A.J.: Understanding the error of our ways: mapping the concepts of validity and reliability. Nurs. Outlook 54(1), 23–29 (2006)

    Article  Google Scholar 

  29. Fay, M.P., Proschan, M.A.: Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules. Statist. Surv. 4, 1–39 (2010)

    Article  MathSciNet  Google Scholar 

  30. Friendly, M., Denis, D.: The early origins and development of the scatterplot. J. Hist. Behav. Sci. 41(2), 103–130 (2005)

    Article  Google Scholar 

  31. Park, S.-H., Park, Y.-S.: Can an automatic oscillometric device replace a mercury sphygmomanometer on blood pressure measurement? A systematic review and meta-analysis. Blood Press. Monit. 24(6), 265–276 (2019)

    Article  Google Scholar 

  32. Joukar, F., Naghipour, M.R., Yeganeh, S., et al.: Validity and inter-observers reliability of blood pressure measurements using mercury sphygmomanometer in the PERSIAN Guilan cohort study. Blood Press. Monit. 25(2), 100–104 (2020)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zilu Liang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liang, Z., Chapa-Martell, M.A. (2021). Validation of Omron Wearable Blood Pressure Monitor HeartGuideTM in Free-Living Environments. In: Ye, J., O'Grady, M.J., Civitarese, G., Yordanova, K. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 362. Springer, Cham. https://doi.org/10.1007/978-3-030-70569-5_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-70569-5_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-70568-8

  • Online ISBN: 978-3-030-70569-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics