2009
DOI: 10.1016/j.medengphy.2008.11.010
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The Windkessel model revisited: A qualitative analysis of the circulatory system

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Cited by 39 publications
(21 citation statements)
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“…1). The suggested model represents a system of equations, which describe the flow of viscous fluid through elastic reservoirs, the so-called Windkessel model [17]. The equations enable to calculate a number of parameters in vascular reservoir i: blood pressure ( Single-chamber pump: …”
Section: Methodsmentioning
confidence: 99%
“…1). The suggested model represents a system of equations, which describe the flow of viscous fluid through elastic reservoirs, the so-called Windkessel model [17]. The equations enable to calculate a number of parameters in vascular reservoir i: blood pressure ( Single-chamber pump: …”
Section: Methodsmentioning
confidence: 99%
“…The difference between the variation in left and right ventricular compliance is in the maximum value Cd, which corresponds to C VIdiastole y C VDdiastole . The maximum ventricular compliances obtained by Tsanas and Goulermas [5] were 0.0145 L/mmHg for C VIdiastole and 0,03436 L/mmHg for C VDdiastole.. In order to adjust the model, certain considerations and approaches were necessary due to the lack of more precise data, the patient specific factors, except age, take Boolean values, but this error is small enough.…”
Section: Optimizing the Model Parametersmentioning
confidence: 99%
“…3) seeks to identify the effect of smoking on the model parameters, taking as inputs patient specific factors and the usual pressure measurements, and as outputs estimate the CO and the arterial pressure. In order to establish appropriate relationships between patient specific factors (inputs) with six unknow model parameters (Rsa, Rpa, Csa, Cpa, C VIdiastole y C VDdiastole ) and estimate their actual values, the polynomial coefficients used in the model shown in table 2 and obtained by Tsanas and Goulermas [5] from the following equation: Parameter i = a 0,i + a 1,i *age + a 2,i *sex + a 3,i *smoking + a 4,i *fitness + a 5,i *drug 1 + a 6,i *drug 2 + a 7,i *drug 3. The time step size ΔT was set to be 0,01 times the period (T).…”
Section: Optimizing the Model Parametersmentioning
confidence: 99%
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