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Sensitivity analysis study on the effect of the fluid mechanics assumptions for the computation of electrical conductivity of flowing human blood

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  • Melito, Gian Marco
  • Müller, Thomas Stephan
  • Badeli, Vahid
  • Ellermann, Katrin
  • Brenn, Günter
  • Reinbacher-Köstinger, Alice

Abstract

Impedance cardiography is a non-invasive methodology for measuring cardiodynamic parameters, such as stroke volume and heart rate, as well as cardiac output. For the measurement, the electric conductivity of blood is important. The conductivity of blood depends on various parameters, such as the haematocrit value as well as the red blood cells’ (RBC) shape and orientation. In models, the response is usually affected by uncertainty, which may lead to inaccurate medical diagnosis. Therefore, a ranking of the influence of the model’s input factors may be necessary. Also, physically and physiologically correct assumptions are fundamental for the accuracy of the model. The basis for predicting the conductivity of blood in this study is the Maxwell–Fricke theory, which allows computing the electrical bulk conductivity of quiescent blood. For flowing blood, fluid mechanics has to be coupled in the modelling phase.

Suggested Citation

  • Melito, Gian Marco & Müller, Thomas Stephan & Badeli, Vahid & Ellermann, Katrin & Brenn, Günter & Reinbacher-Köstinger, Alice, 2021. "Sensitivity analysis study on the effect of the fluid mechanics assumptions for the computation of electrical conductivity of flowing human blood," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    • Handle: RePEc:eee:reensy:v:213:y:2021:i:c:s0951832021002040
    DOI: 10.1016/j.ress.2021.107663
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    References listed on IDEAS

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    Cited by:

    1. Wang, Zhenqiang & Jia, Gaofeng, 2023. "Extended sample-based approach for efficient sensitivity analysis of group of random variables," Reliability Engineering and System Safety, Elsevier, vol. 231(C).

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