A distributed predictive arterial model for human vascular diagnostic applications

Hongjun Zhang, John K.J. Li, Qiaojun Wang, Dario Pompili, Ivan Marsic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel frequency domain distributed segmental arterial model was designed to predict pulsatile blood pressure waveforms in large arteries. The model was based on pulse wave reflection theories and nodal network analysis. This model was evaluated in terms of branch reflection coefficients, terminal vascular bed behavior, and arterial wall viscoelasticity. It was found that the model-based predicted pressure waveforms were very sensitive to the branch reflections and that compared favorably with measured blood pressure waveforms. The model has the potential for diagnosis of local vascular abnormalities such as arterial stenosis and altered vasoactive conditions.

Original languageAmerican English
Title of host publicationProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010
DOIs
StatePublished - 2010
Event36th Annual Northeast Bioengineering Conference, NEBEC 2010 - New York, NY, United States
Duration: Mar 26 2010Mar 28 2010

Publication series

NameProceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference, NEBEC 2010

Conference

Conference36th Annual Northeast Bioengineering Conference, NEBEC 2010
Country/TerritoryUnited States
CityNew York, NY
Period3/26/103/28/10

ASJC Scopus subject areas

  • Bioengineering

Keywords

  • Arterial hemodynamics
  • Blood pressure waveforms
  • Distributed model
  • Wave reflection

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