• DocumentCode
    2102541
  • Title

    Determination of blood pressure using Bayesian approach

  • Author

    Lee, Soojeong ; Rajan, Sreeraman ; Dajani, Hilmi R. ; Groza, Voicu Z. ; Bolic, Miodrag

  • Author_Institution
    Sch. of Inf. Technol. & Eng. (SITE), Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2011
  • fDate
    10-12 May 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The maximum amplitude algorithm (MAA) is commonly used in the estimation of the pressure values, and it uses experimentally obtained ratios of systolic and diastolic oscillometric amplitude to the mean arterial pressure (known as systolic and diastolic ratios) for estimating the systolic and diastolic pressures. This paper provides a Bayesian approach to determine the systolic and diastolic ratios. The standard error of estimate (SEE) and correlation coefficient (CORR) of systolic blood pressure (SBP) and diastolic blood pressure (DBP) estimates obtained with the systolic and diastolic ratios using Bayesian approach and the MAA are shown to outperform the estimates obtained using the experimentally obtained ratios and the MAA.
  • Keywords
    Bayes methods; blood pressure measurement; correlation theory; error statistics; Bayesian approach; MAA; arterial pressure; blood pressure measurement; correlation coefficient; diastolic blood pressure; diastolic oscillometric amplitude; maximum amplitude algorithm; standard error of estimate; systolic blood pressure; systolic oscillometric amplitude; Bayesian methods; Biomedical monitoring; Blood pressure; Correlation; Measurement uncertainty; Pressure measurement; Bayesian approach; Blood pressure measurement; systolic and diastolic ratios;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
  • Conference_Location
    Binjiang
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-7933-7
  • Type

    conf

  • DOI
    10.1109/IMTC.2011.5944338
  • Filename
    5944338