Key result
A novel multiobjective neural predictive controller hybridized with a Frank-Starling-like controller was superior to independent controllers in matching pump flow with cardiac demand during simulations.
Why the study?
Does a hybridized multiobjective neural predictive controller improve hemodynamic stability and flow regulation in a simulated biventricular assist device compared to independent Frank-Starling or constant speed controllers?
Population
Numerical simulation model of biventricular assistance using dual rotary blood pumps
Comparison
Multiobjective neural predictive controller… vs Dual Independent Frank-Starling-like control…
Design
Preclinical
Authors
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Supports hybridized controller development for rotary pumps; hypothesis-generating and requires animal validation before clinical testing.
Does a hybridized multiobjective neural predictive controller improve hemodynamic stability and flow regulation in a simulated biventricular assist device compared to independent Frank-Starling or constant speed controllers?
A novel hybridized neural predictive controller for dual rotary blood pumps demonstrates superior simulated hemodynamic stability and flow regulation compared to standard controllers.
Ng et al. (2017) studied Heart failure requiring biventricular assistance. Multiobjective neural predictive controller (MONPC) hybridized with a preload-based Frank-Starling-like controller (PFS) vs. Dual Independent Frank-Starling-like control system (DI-FS) and constant speed controller was evaluated on Hemodynamic stability (matching pump flow with cardiac demand, avoiding pulmonary congestion and ventricular suction). A novel multiobjective neural predictive controller hybridized with a Frank-Starling-like controller was superior to independent controllers in matching pump flow with cardiac demand during simulations.
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