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Wearable Continuous Blood Pressure Estimation with Photoplethysmography Sensors Array on the Arm

  • Chunkai Qiu
  • Taiyang Wu
  • Jean-Michel Redouté
  • Mehmet Rasit YuceEmail author
Conference paper
  • 42 Downloads
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

A wearable continuous beat-to-beat blood pressure (BP) monitoring system on the arm, based on a 4-channel photoplethysmography (PPG) array is presented in this paper. Three pulse transit time (PTT) values have been derived from the combinations of PPG signals from the sensors array. We evaluated the system on a group of 5 healthy male subjects. The result suggests that there is a strong correlation between the pulse wave velocity (PWV) derived from PPG signals of the sensors array and the reference systolic and diastolic BP. With the PPG-sensor array, PWV along the arm is divided into several segments. Therefore, more detailed PWV along the arm is found, which can potentially facilitate the accuracy of estimating BP based on the PWV principle.

Keywords

PPG-sensor array Beat-to-beat PWV Continuous cuff-less BP monitoring 

Notes

Acknowledgements

M. R. Yuce’s work is supported by Australian Research Council Future Fellowships Grant FT130100430.

References

  1. 1.
    Vasan, R.S., Larson, M.G., Leip, E.P., Evans, J.C., O’Donnell, C.J., Kannel, W.B., Levy, D.: Impact of high-normal blood pressure on the risk of cardiovascular disease. N. Engl. J. Med. 345(18), 1291–1297 (2001)CrossRefGoogle Scholar
  2. 2.
    World Health Organization: A global brief on hypertension: silent killer, global public health crisis: World health day 2013 (2013)Google Scholar
  3. 3.
    Kannel, W.B.: Blood pressure as a cardiovascular risk factor: prevention and treatment. JAMA 275(20), 1571–1576 (1996)CrossRefGoogle Scholar
  4. 4.
    Buxi, D., Redouté, J.M., Yuce, M.R.: A survey on signals and systems in ambulatory blood pressure monitoring using pulse transit time. Physiol. Meas. 36(3), R1 (2015)CrossRefGoogle Scholar
  5. 5.
    Fiala, J., Bingger, P., Foerster, K., Heilmann, C., Beyersdorf, F., Zappe, H., Seifert, A.: Implantable sensor for blood pressure determination via pulse transit time. In: Sensors, 2010 IEEE. pp. 1226–1229. IEEE, Piscataway (2010)Google Scholar
  6. 6.
    Hennig, A., Patzak, A.: Continuous blood pressure measurement using pulse transit time. Somnologie-Schlafforschung und Schlafmedizin 17(2), 104–110 (2013)CrossRefGoogle Scholar
  7. 7.
    Tang, Z., Tamura, T., Sekine, M., Huang, M., Chen, W., Yoshida, M., Sakatani, K., Kobayashi, H., Kanaya, S.: A chair–based unobtrusive cuffless blood pressure monitoring system based on pulse arrival time. IEEE J. Biomed. Health Inform. 21(5), 1194–1205 (2017)CrossRefGoogle Scholar
  8. 8.
    Heravi, M.Y., Khalilzadeh, M., Joharinia, S.: Continuous and cuffless blood pressure monitoring based on ECG and SpO2 signals by using Microsoft visual C sharp. J. Biomed. Phys. Eng. 4(1), 27 (2014)Google Scholar
  9. 9.
    Wong, M.Y.M., Poon, C.C.Y., Zhang, Y.T.: An evaluation of the cuffless blood pressure estimation based on pulse transit time technique: a half year study on normotensive subjects. Cardiovasc. Eng. 9(1), 32–38 (2009)CrossRefGoogle Scholar
  10. 10.
    Wang, Y., Liu, Z., Ma, S.: Cuff-less blood pressure measurement from dual-channel photoplethysmographic signals via peripheral pulse transit time with singular spectrum analysis. Physiol. Meas. 39(2), 025010 (2018)CrossRefGoogle Scholar
  11. 11.
    Lee, J., Matsumura, K., Yamakoshi, K.i., Rolfe, P., Tanaka, S., Yamakoshi, T.: Comparison between red, green and blue light reflection photoplethysmography for heart rate monitoring during motion. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1724–1727. IEEE, Piscataway (2013)Google Scholar
  12. 12.
    Tamura, T., Maeda, Y., Sekine, M., Yoshida, M.: Wearable photoplethysmographic sensors–past and present. Electronics 3(2), 282–302 (2014)CrossRefGoogle Scholar
  13. 13.
    Sola, J., Proença, M., Ferrario, D., Porchet, J.A., Falhi, A., Grossenbacher, O., Allemann, Y., Rimoldi, S.F., Sartori, C.: Noninvasive and nonocclusive blood pressure estimation via a chest sensor. IEEE Trans. Biomed. Eng. 60(12), 3505–3513 (2013)CrossRefGoogle Scholar
  14. 14.
    Thomas, S.S., Nathan, V., Zong, C., Akinbola, E., Aroul, A.L.P., Philipose, L., Soundarapandian, K., Shi, X., Jafari, R.: Biowatch—a wrist watch based signal acquisition system for physiological signals including blood pressure. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2286–2289. IEEE, Piscataway (2014)Google Scholar
  15. 15.
    Evans, J.D.: Straightforward statistics for the behavioral sciences. Brooks/Cole, Pacific Grove (1996)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Chunkai Qiu
    • 1
  • Taiyang Wu
    • 1
  • Jean-Michel Redouté
    • 1
  • Mehmet Rasit Yuce
    • 1
    Email author
  1. 1.Electrical and Computer Systems EngineeringMonash UniversityClaytonAustralia

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