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  • A centralized multi-objective model predictive control for a biventricular assist device: An in vitro evaluation

    Author(s)
    Koh, VCA
    Pauls, JP
    Wu, EL
    Stevens, MC
    Ho, YK
    Lovell, NH
    Lim, E
    Griffith University Author(s)
    Pauls, Jo P.
    Year published
    2020
    Metadata
    Show full item record
    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 ...
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    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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    Journal Title
    Biomedical Signal Processing and Control
    Volume
    59
    DOI
    https://doi.org/10.1016/j.bspc.2020.101914
    Subject
    Biomedical engineering
    Electrical engineering
    Medical biotechnology
    Science & Technology
    Engineering
    Frank-Starling mechanism
    Publication URI
    http://hdl.handle.net/10072/397216
    Collection
    • Journal articles

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