Cardiovascular regulation in response to multiple hemorrhages: analysis and parameter estimation.

ABSTRACT: Mathematical models can provide useful insights explaining behavior observed in experimental data; however, rigorous analysis is needed to select a subset of model parameters that can be informed by available data. Here we present a method to estimate an identifiable set of parameters based on baseline left ventricular pressure and volume time series data. From this identifiable subset, we then select, based on current understanding of cardiovascular control, parameters that vary in time in response to blood withdrawal, and estimate these parameters over a series of blood withdrawals. These time-varying parameters are first estimated using piecewise linear splines minimizing the mean squared error between measured and computed left ventricular pressure and volume data over four consecutive

SUBMITTER: Ciocanel MV 

PROVIDER: S-EPMC6414294 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature