Key result
A closed-loop lumped parameter computational model successfully predicted global hemodynamic parameters within physiological ranges and simulated cardiac characteristics of diastolic dysfunction.
A newly developed closed-loop lumped parameter computational model of the human cardiovascular system can accurately simulate global hemodynamics and pathological states like diastolic dysfunction, serving as a potential tool for computer-aided diagnosis.
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Advances computational simulation of diastolic dysfunction; leaves open clinical validation before diagnostic use.
For purpose of a better understanding of the behavior of the global hemodynamic interactions, a closed-loop lumped parameter computational model was developed for the human cardiovascular system with a detailed compartmental description of the heart and the main vascular circulations. Construction of the model was implemented based on a phenomenological characterization of hemodynamics using an electrical analog method and solution of the governing differential equations of the model was carried out by use of a fourth-order Runge-Kutta method. Most of the hemodynamic parameters predicted by the present model were either consonant with the clinical measurements or within reasonable physiological ranges. Furthermore, the present model was applied to predict the clinical cardiac hemodynamic characteristics observed in patients with heart abnormalities. Reasonable agreements between predictions and measurements indicate that the present computational model can serve as a useful assistant tool for computer-aided diagnosis and surgical treatment, as well as posttreatment prediction.
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Liang et al. (2005) studied Cardiovascular hemodynamics. Closed-loop lumped parameter computational model was evaluated. A closed-loop lumped parameter computational model successfully predicted global hemodynamic parameters within physiological ranges and simulated cardiac characteristics of diastolic dysfunction.
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