Title :
Model-based parameter estimation using cardiovascular response! to orthostatic stress
Author :
Heldt, T. ; Shim, Eb ; Kamm, RD ; Mark, R.G.
Author_Institution :
MIT, Cambridge, MA, USA
Abstract :
This paper presents a cardiovascular model that is capable of simulating the short-term (≲ 3 min) transient hemodynamic response to gravitational stress and a gradient-based optimization method that allows for the automated estimation of model parameters from simulated or experimental data. We perform a sensitivity analysis of the transient heart rate response to determine which parameters of the model impact the heart rate dynamics significantly. We subsequently include only those parameters in the estimation routine that impact the transient heart rate dynamics substantially. We applied the estimation algorithm to both simulated and real data and showed that restriction to the 20 most important parameters does not impair our ability to match the data
Keywords :
aerospace biophysics; cardiovascular system; gradient methods; gravity; haemodynamics; medical computing; optimisation; parameter estimation; physiological models; sensitivity analysis; transient response; 3 min; automated parameter estimation algorithm; cardiovascular response; data matching; gradient-based optimization method; gravitational stress; heart rate dynamics; model-based parameter estimation; orthostatic stress; sensitivity analysis; short-term transient heinodynamic response; transient heart rate response; Blood; Cardiology; Cardiovascular system; Computational modeling; Heart rate; Hemodynamics; Parameter estimation; Sensitivity analysis; Stress; Transient analysis;
Conference_Titel :
Computers in Cardiology 2001
Conference_Location :
Rotterdam
Print_ISBN :
0-7803-7266-2
DOI :
10.1109/CIC.2001.977661