Journal article
Validity of an Arterial System Model: A Quantitative Evaluation
IEEE transactions on biomedical engineering, v BME-27(4), pp 203-211
Apr 1980
PMID: 7380434
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The purpose of this investigation was to validate an arterial system model in a quantitative fashion. The model is based on a finite difference solution to the Navier-Stokes equations and retains certain nonlinear features of the system. Rather than apply standard error measures that test waveform correlation, the validation method used relies on the quantification of differences between the model and animals over a wide range of parametric changes. A series of functions was used to define the difference between the dependent variables of the model and corresponding hemodynamic variables of the animals. These functions were displayed as a family of three-dimensional difference surfaces which related the function value to parametric changes of the independent variables. Experimental data from three dogs were compared with model predictions. Regions of validity for the independent variables were then assessed by examining the difference surfaces.
Metrics
Details
- Title
- Validity of an Arterial System Model: A Quantitative Evaluation
- Creators
- William J Ohley - University of Rhode IslandChiiming Kao - University of Rhode IslandDov Jaron - Drexel University
- Publication Details
- IEEE transactions on biomedical engineering, v BME-27(4), pp 203-211
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; [Retired Faculty]
- Web of Science ID
- WOS:A1980JP59900004
- Scopus ID
- 2-s2.0-0019230953
- Other Identifier
- 991019320715204721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical