• DocumentCode
    3685442
  • Title

    Modelling of the nonlinear end-systolic pressure-volume relation and volume-at-zero-pressure in porcine experiments

  • Author

    Shaun M. Davidson;D. Oliver Kannangara;Chris G. Pretty;Shun Kamoi;Antoine Pironet;Thomas Desaive;J. Geoffrey Chase

  • Author_Institution
    Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand
  • fYear
    2015
  • Firstpage
    6544
  • Lastpage
    6547
  • Abstract
    The End-Systolic Pressure-Volume Relation (ESPVR) is generally modelled as a linear relationship between P and V as cardiac reflexes, such as the baroreflex, are typically suppressed in experiments. However, ESPVR has been observed to behave in a curvilinear fashion when cardiac reflexes are not suppressed, suggesting the curvilinear function may be more clinically appropriate. Data was gathered from 41 vena cava occlusion manoeuvres performed experimentally at a variety of PEEPs across 6 porcine specimens, and ESPVR determined for each pig. An exponential model of ESPVR was found to provide a higher correlation coefficient than a linear model in 6 out of 7 cases, and a lower Akaike Information Criterion (AIC) value in all cases. Further, the exponential ESPVR provided positive V0 values in a physiological range in 6 out of 7 cases analysed, while the linear ESPVR produced positive V0 values in only 3 out of 7 cases, suggesting linear extrapolation of ESPVR to determine V0 may be flawed.
  • Keywords
    "Physiology","Correlation coefficient","Data models","Heart beat","Solid modeling","Biomedical monitoring"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319892
  • Filename
    7319892