title: Physiological controller of an intra-aorta pump based on baroreflex sensitivity.
abstract: Left ventricular assist devices are increasingly used for long-term support in heart failure patients. It is important to find an optimum operating point for the pump that is appropriate for the existing function of the heart and the state of the circulatory system. Therefore, baroreflex sensitivity (BRS), as an indicator of heart function, is chosen as the control variable. In order to find an optimum point automatically, an extremum search algorithm (ESA) is designed to find an optimal mean arterial pressure (MAP), for which the BRS is maximum. Then, a MAP controller based on model-free adaptive control is designed to ensure that the measured MAP tracks the desired one. In order to test the feasibility of the control strategy, numerical simulations and simplified in vitro experiments were conducted. A mathematic model of the cardiovascular system simulating left ventricular failure, physical activity, and recovery of cardiac function is used in the simulation. The numerical simulations show that the maximum value of BRS can be found automatically by using ESA. The rotational speed of the pump is automatically increased (from 6500 rpm to 7000 rpm), and peripheral resistance is decreased to simulate slight physical activity. When E(max) is increased from 0.6 mm Hg/mL to 1.8 mm Hg/mL to mimic heart recovery, the speed is decreased from 7000 rpm to 6300 rpm in response. The optimum operating point for the pump can be detected by the proposed control strategy without the need to set a reference value for the control variable by operators.
authors.affiliation: School of Life Science and BioEngineering, Beijing University of Technology, Beijing, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Gao
authors.forename: Yu
authors.initials: Y
authors.lastname: Chang
authors.forename: Kaiyun
authors.initials: K
authors.lastname: Gu
authors.forename: Yi
authors.initials: Y
authors.lastname: Zeng
authors.forename: Youjun
authors.initials: Y
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D001243:Assisted Circulation; D017704:Baroreflex; D001794:Blood Pressure; D003198:Computer Simulation; D006801:Humans; D008955:Models, Cardiovascular