Key result
A novel sensorless BiVAD algorithm successfully prevented suction, restored physiologic perfusion, and maintained left-right-sided balance during in silico simulated test conditions.
Why the study?
Does a sensorless control algorithm for rotary BiVADs prevent suction and maintain flow balance in simulated biventricular failure?
Does a sensorless control algorithm for rotary BiVADs prevent suction and maintain flow balance in simulated biventricular failure?
A novel sensorless control algorithm for rotary BiVADs successfully prevents suction and maintains physiologic flow balance in silico, offering potential for integration into clinical devices without hardware modification.
Requires prospective in vivo validation before clinical use; leaves open translation of sensorless BiVAD control from simulation.
Objective: Rotary biventricular assist devices (BiVAD) are mechanical pumps that are implanted in the left and right ventricles of biventricular failure patients to pump blood and provide mechanical circulatory support. The objective of this paper was to develop and test a novel sensorless control algorithm that simultaneously satisfies the objectives of providing physiologic control (BiVAD flows meet cardiac demand), preventing ventricular suction, and providing balanced left-right (systemic and pulmonary) flows without the use of implantable flow or pressure sensors in the nonlinear, time varying, and discontinuous circulatory system. Methods: The control algorithm consists of two gain-scheduled proportional- integral controllers for left and right ventricular assist devices and only requires intrinsic pump parameters (speed and power) to maintain differential pump speeds (ΔRPMLand ΔRPMR) above user-defined thresholds to prevent ventricular suction, and average reference pressure heads (ΔPL, ΔPR) to provide physiologic perfusion and balance left-right-sided flow rates. A model-based approach with extended Kalman and Golay-Savitzky filters was used to estimate ΔPLand ΔPR. Efficacy and robustness of the algorithm were evaluated in silico during simulated rest and exercise test conditions for: 1) excessive APL and/or APR setpoints; 2) rapid threefold increase in pulmonary vascular or vena caval resistances; 3) transitions from exercise to rest; and 4) ventricular fibrillation. Results and Conclusion: The proposed sensorless BiVAD algorithm successfully prevented suction, restored physiologic perfusion, and inherently maintained left-right-sided balance for all test conditions. Significance: The proposed algorithm does not require any device modification and may be integrated into current clinical BiVADs.
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Wang et al. (2017) studied Biventricular failure. Sensorless control algorithm for rotary biventricular assist devices was evaluated on Prevention of suction, restoration of physiologic perfusion, and maintenance of left-right-sided balance. A novel sensorless BiVAD algorithm successfully prevented suction, restored physiologic perfusion, and maintained left-right-sided balance during in silico simulated test conditions.
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