A centralized multi-objective model predictive control for a biventricular assist device: An in vitro evaluation
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Pauls, JP
Wu, EL
Stevens, MC
Ho, YK
Lovell, NH
Lim, E
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Abstract
Control of a biventricular assist device (BiVAD) is more challenging than control of a left ventricular assist device due to the process interactions between control loops in a multi-input-multi-output system. Hence, a single centralized multi-objective model predictive controller (CMO-MPC) has been developed to control a BiVAD. The CMO-MPC aims to: 1) adapt pump flow rate according to the Frank-Starling mechanism, 2) avoid ventricular suction, and 3) avoid vascular congestion. The CMO-MPC was benchmarked against a constant-speed (CS) setting in exercise, postural change, and systemic vascular resistance change tests in a mock circulation loop. The CMO-MPC increased pump flow rate from 5.0 L/min to 7.6 L/min in the exercise scenario, which was higher than the pump flow rate in the CS setting (6.0 L/min). In the postural change test, right ventricular end diastolic pressure (RVEDP) decreased to a minimum at 0.1 mmHg and 2.0 mmHg in the CS setting and the CMO-MPC, respectively, indicating that the CMO-MPC could minimize the risk of ventricular suction (with higher minimum RVEDP than the CS setting) when there was a sudden decrease in venous return. In all tests, the CMO-MPC could adapt pump flow rate without resulting events of ventricular suction and vascular congestion.
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Biomedical Signal Processing and Control
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59
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Biomedical engineering
Electrical engineering
Medical biotechnology
Science & Technology
Engineering
Frank-Starling mechanism
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Koh, VCA; Pauls, JP; Wu, EL; Stevens, MC; Ho, YK; Lovell, NH; Lim, E, A centralized multi-objective model predictive control for a biventricular assist device: An in vitro evaluation, Biomedical Signal Processing and Control, 2020, 59, pp. 101914