Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Estimation of Continuous Blood Pressure using PIT and Biometric Parameters

  • Park Eun-Kyoung (Department of Biomedical Engineering, Hanyang University) ;
  • Cho Baek-Hwan (Department of Biomedical Engineering, Hanyang University) ;
  • Park Sang-Hae (Department of Biomedical Engineering, Hanyang University) ;
  • Lee Jong-Youn (Department of Biomedical Engineering, Hanyang University) ;
  • Hwang Hwan-Sik (Department of Family Medicine, College of Medicine, Hanyang University) ;
  • Park Hun-Ki (Department of Family Medicine, College of Medicine, Hanyang University) ;
  • Lee Jong-Shill (Department of Biomedical Engineering, Hanyang University) ;
  • Kim In-Young (Department of Biomedical Engineering, Hanyang University) ;
  • Kim Sun-I (Department of Biomedical Engineering, Hanyang University)
  • Published : 2006.02.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a subject-independent regression model to estimate systolic blood pressures (SBP) conveniently and continuously. There have been several researches on estimating SBP with pulse transit time (PTT) and they showed promising results. However, previous studies used only PTT as the estimation parameter, and their models were generated with just one person's PTT data which is not applicable to estimating other person's SBP. Therefore, we collected several additional biometric parameters with 202 healthy subjects. After statistical analysis of measured biometric parameters with SBP, we chose final estimating parameters including PTT to generate a multiple linear regression model for estimating SBP. Comparing the results of our study with approvable standards of automated sphygmomanometers developed by Association for the Advancement of Medical Instrumentation and approved by American National Standards Institute (ANSI/AAMI) indicates that our proposed method for continuously blood pressures monitoring gives an acceptable error.

Keywords

References

  1. J.G. Webster, Medical Instrument: Application and decision, New York, WILEY, pp.287-331, 1998
  2. J.J. Carr and J.M. Brown, Introduction to Biomedical Equipment Technology, 4h edition, New Jersey, Prentice Hall, pp.234-304, 2001
  3. L.A. Geddes, M.H. Voelz, 'Pulse transit time as an indicator of Arterial Blood Pressure', Psychophysiology, Vol. 18, pp.71-75, 1981 https://doi.org/10.1111/j.1469-8986.1981.tb01545.x
  4. G.V. Marie, C.R. Lo, Van Jones and D.W. Johnston, 'The relationship between arterial blood pressure and pulse transit time during dynamic and static exercise', Psychophysiology, Vol. 21, pp.521-527,1984 https://doi.org/10.1111/j.1469-8986.1984.tb00235.x
  5. J. Kerola, V. Kontra and R. Sepponen, 'Non-invasive blood pressure data acquisition employing pulse transit time detection', In Proceedings of the 18th Annual International Conference of the IEEE Medicine and Biology Society, Vol. 3, pp.1308-1309, 1996
  6. K. Meigas, R. Kattai and J. Lass, 'Continuous blood pressure monitoring using pulse wave delay', In Proceedings of the 23rd Annual International Conference of the IEEE Medicine and Biology Society, Vol. 4, pp. 3171-3174, 2001
  7. M.H. Pollak and P.A Obrist, 'Aortic-radial pulse transit time and ECG Q-wave to radial pulse wave interval as indices of beat by beat blood pressure change', Psycho-physiology, Vol. 20, pp.21-28,1983 https://doi.org/10.1111/j.1469-8986.1983.tb00895.x
  8. C.C. Young, J.B. Mark, W. White, A. DeBree, J.S. Vender and Fleming, 'A Clinical evaluation ofcontinuous noninvasive blood pressure monitoring: Accuracy and tracking capability', J. Clin. Monit., Vol.11, pp.245-252, 1995 https://doi.org/10.1007/BF01617519
  9. J.C. Bramwell and A.V. Hill, 'The velocity ofthe pulse wave in man', Proceedings of the Royal Society, London, pp.298-306, 1922 https://doi.org/10.1098/rspb.1922.0022
  10. E.K. Park, S.M. Lee, Y.H. Han, J.Y. Lee, S.Y. Kwon, I.Y. Kim, Sun I. Kim, 'A Study on Estimation of Systolic Blood Pressure using PIT', J. Biomed. Eng. Res., Vol. 25, No.6, pp.431-438, 2004
  11. K.H. Wesseling, J.J. Settles, G.M. Hoeven, J.A. Nijober, W.T. Micelle and J.C. Dorlas, 'Effects ofperipheral vasoconstriction on the measurement of blood pressure in a finger', Cardiovascular Research, Vol. 19,pp.139-145, 1985 https://doi.org/10.1093/cvr/19.3.139
  12. R. Raamat, J Talts, K Jagomagi and P.H. Kingisepp, 'Effect of peripheral vasoconstriction on the beat-to-beat measurement of finger blood pressure', In Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2000
  13. Claudia Langenberg and Rebecca Hardy, 'Influence of height, leg and trunk length on pulse pressure, systolic and diastolic blood pressure', Journal of Hypertension, No. 21, pp.527-543, 2003
  14. Steve Anderson and Germaine Cornelissen, 'Age effects upon the harmonic structure of human blood pressure in clinical health', Proceeding Second Annual IEEE Symposium on Computer-Based Medical Systems, Minneapolis, MN USA, pp.238-243, 1989
  15. James D. Lane and Lisa Greenstadt, 'Pulse Transit Time and Blood Pressure: An Intensive Analysis', Psychophysiology, Vol. 20, No. I, pp.45-49, 1983 https://doi.org/10.1111/j.1469-8986.1983.tb00899.x
  16. H.J. Noh, Multivariate Analysis by Korean SPSS 10.0, Hyung-Seol Press, 2003
  17. J.U. Ahn, K.Y. Yoon, Medical Statistical Analysis, SPSS Academy, 2002
  18. Association for the Advancement of Medical Instrumentation, 'Manual, electronic, or automated sphygmo-manometers', American National Standard, ANSI/AAMI SP10:2002 & ANSI/AAMI SP10:2002/Al: 2003