A Feasible Method to Control Left Ventricular Assist Devices for Heart Failure Patients: A Numerical Study

• Main Authors: Aboamer, M.A (Author), Alassaf, A. (Author), Alharbi, Y. (Author), Almohimeed, I. (Author), Alqahtani, A. (Author), Alshareef, K. (Author), Bakouri, M. (Author), Smida, A. (Author)
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: Frank–Starling mechanism; fuzzy logic control; heart failure; physiological control; ventricular assist devices
• Online Access: View Fulltext in Publisher

 Installing and developing a sophisticated control system to optimize left ventricular assist device (LVAD) pump speed to meet changes in metabolic demand is essential for advancing LVAD technology. This paper aims to design and implement a physiological control method for LVAD pumps to provide optimal cardiac output. The method is designed to adjust the pump speed by regulating the pump flow based on a predefined set point (operating point). The Frank–Starling mechanism technique was adopted to control the set point within a safe operating zone (green square), and it mimics the physiological demand of the patient. This zone is predefined by preload control lines, which are known as preload lines. A proportional–integral (PI) controller was utilized to control the operating point within safe limits to prevent suction or overperfusion. In addition, a PI type 1 fuzzy logic controller was designed and implemented to drive the LVAD pump. To evaluate the design method, rest, moderate, and exercise scenarios of heart failure (HF) were simulated by varying the hemodynamic parameters in one cardiac cycle. This evaluation was conducted using a lumped parameter model of the cardiovascular system (CVS). The results demonstrated that the proposed control method efficiently drives an LVAD pump under accepted clinical conditions. In both scenarios, the left ventricle pressure recorded 112 mmHg for rest and 55 mmHg for exercise, and the systematic flow recorded 5.5 L/min for rest and 1.75 L/min for exercise. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.