Key result
A mathematical model using a quadratic spline predicted subject-specific isovolumic left-ventricular pressure curves based on measured physiological pressure curves in an anesthetized pig.
Answers are grounded in this paper and cite their sources.
A novel mathematical model using quadratic splines can identify subject-specific left-ventricular isovolumic pressure curves from non-isovolumic data, which may improve cardiovascular computer simulations.
In this paper we present a mathematical model for isovolumic left-ventricular pressure curves intended for applications in computer simulation models of the cardiovascular system. We chose a quadratic spline to individually account for the specific phases of isovolumic beats. Besides, we describe a method to identify subject specific isovolumic pressure curves based on measured physiological (non-isovolumic) pressure curves. Therefore, we used experimental data obtained from a trial on an anesthetized pig. Specifically, we investigated the effect of a preload reduction for a given contractile state on the isovolumic pressure curves. Towards validation of the proposed model we compared the predicted isovolumic pressure curve to data of real experimentally obtained isovolumic beats. Besides, a comparison to alternative isovolumic pressure curve identification approaches for a different application (estimating contractility by single-beat evaluation) is drawn.
No takes yet. Share an insight, caveat, or question.
Gesenhues et al. (2015) studied this question. Mathematical model for isovolumic left-ventricular pressure curves vs. Real experimentally obtained isovolumic beats was evaluated on Predicted isovolumic pressure curve compared to real experimentally obtained isovolumic beats. A mathematical model using a quadratic spline predicted subject-specific isovolumic left-ventricular pressure curves based on measured physiological pressure curves in an anesthetized pig.
Synapse has enriched 10 related papers. Consider them for comparative context: