Key result
On-line delta operators successfully identify aortic compliance and peripheral resistance in LVAD animal models.
A new method using the delta operator can successfully identify systemic circulation parameters on-line in real time, as demonstrated in computer simulations and animal models with a left ventricular assist system.
To develop effective medical care with the artificial heart, we propose a new method, on-line parameter identification of the systemic circulation using the delta operator which can calculate the time-varying and unmeasured hemodynamics of the internal human body from some measured data: aortic pressure and total flow in real time. This method consists of first, a dynamic physiological model which is configured with the physiological parameters Ca (aortic compliance) and Rp (total peripheral resistance); and second, a system identification method using the delta operator. In the computer simulation study, we could confirm the effectiveness to identify the physiological parameters. In animal experiments with a left ventricular assist system, the physiological parameters, Ca = 1.8 (ml/mm Hg) and Rp = 0.8 (mm Hg s/ml), could be identified on-line.
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Kosaka et al. (2002) studied Left ventricular assist system support. On-line parameter identification of systemic circulation using the delta operator was evaluated on Identification of physiological parameters Ca (aortic compliance) and Rp (total peripheral resistance). On-line parameter identification using the delta operator successfully identified physiological parameters (Ca = 1.8 ml/mm Hg and Rp = 0.8 mm Hg s/ml) in animal experiments with a left ventricular assist system.
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