2022
DOI: 10.1002/cnm.3658
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The effect of cardiac properties on arterial pulse waves: An in‐silico study

Abstract: This study investigated the effects of cardiac properties variability on arterial pulse wave morphology using blood flow modelling and pulse wave analysis. A lumped‐parameter model of the left part of the heart was coupled to a one‐dimensional model of the arterial network and validated using reference pulse waveforms in turn verified by comparison with in vivo measurements. A sensitivity analysis was performed to assess the effects of variations in cardiac parameters on central and peripheral pulse waveforms.… Show more

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“…To simulate the inotropic action of DB, and to a lesser extent of NA and GTN, left ventricular contractility in the baseline subject was increased by changing the parameters of the heart model. Based on our previous analysis of the sensitivity of simulated central blood pressure to cardiac parameters (26), the following parameters were varied: (i) the stroke volume within the corresponding values measured in vivo (see Table S2, Supplementary Material); and (ii) either the time of the left ventricular relaxation phase or the maximum amplitude of the contraction phase of the ventricular elastance function to produce the range of contractility index values measured in vivo (Supplementary Table S2).…”
Section: In Silico Data: Computational Haemodynamics Modelmentioning
confidence: 99%
“…To simulate the inotropic action of DB, and to a lesser extent of NA and GTN, left ventricular contractility in the baseline subject was increased by changing the parameters of the heart model. Based on our previous analysis of the sensitivity of simulated central blood pressure to cardiac parameters (26), the following parameters were varied: (i) the stroke volume within the corresponding values measured in vivo (see Table S2, Supplementary Material); and (ii) either the time of the left ventricular relaxation phase or the maximum amplitude of the contraction phase of the ventricular elastance function to produce the range of contractility index values measured in vivo (Supplementary Table S2).…”
Section: In Silico Data: Computational Haemodynamics Modelmentioning
confidence: 99%