Linear optimization algorithm for 1D hemodynamics parameter estimation

Timur Gamilov, Jordi Alastruey, Sergei Simakov

Research output: Contribution to conference typesPaperpeer-review

5 Citations (Scopus)

Abstract

An algorithm for estimating the parameters of 1D blood flow modelling is proposed. The following parameters are identified based on the blood flow velocity measurement at certain points: elasticity of arteries, hydraulic resistances of peripheral regions and cardiac output. The estimation method is based on the algorithm of linear optimization. This method was tested by adjusting 1D hemodynamics parameters to fit target values of systolic and diastolic blood pressures.

Original languageEnglish
Pages1845-1850
Number of pages6
Publication statusPublished - 1 Jan 2020
Event6th ECCOMAS European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th ECCOMAS European Conference on Computational Fluid Dynamics, ECFD 2018 - Glasgow, United Kingdom
Duration: 11 Jun 201815 Jun 2018

Conference

Conference6th ECCOMAS European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th ECCOMAS European Conference on Computational Fluid Dynamics, ECFD 2018
Country/TerritoryUnited Kingdom
CityGlasgow
Period11/06/201815/06/2018

Keywords

  • Blood Flow Model
  • Linear Optimization
  • Model Parameter Estimation

Fingerprint

Dive into the research topics of 'Linear optimization algorithm for 1D hemodynamics parameter estimation'. Together they form a unique fingerprint.

Cite this