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Physiological Controller of an Intra-Aorta Pump Based on Baroreflex Sensitivity

机译:基于Baroreflex敏感性的主动脉内泵的生理控制器

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摘要

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 6500rpm to 7000rpm), and peripheral resistance is decreased to simulate slight physical activity. When Emax is increased from 0.6mmHg/mL to 1.8mmHg/mL to mimic heart recovery, the speed is decreased from 7000rpm to 6300rpm 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.
机译:左心室辅助设备越来越多地用于心力衰竭患者的长期支持。重要的是为泵找到适合心脏现有功能和循环系统状态的最佳工作点。因此,选择压力反射敏感性(BRS)作为心脏功能的指标,作为控制变量。为了自动找到最佳点,设计了一种极值搜索算法(ESA)以找到最佳BRS最大的平均动脉压(MAP)。然后,设计了一种基于无模型自适应控制的MAP控制器,以确保测得的MAP跟踪所需的MAP。为了测试控制策略的可行性,进行了数值模拟和简化的体外实验。模拟中使用了模拟左心衰竭,身体活动和心功能恢复的心血管系统数学模型。数值模拟表明,通过使用ESA可以自动找到BRS的最大值。泵的转速自动增加(从6500rpm到7000rpm),并且外围阻力减小,以模拟轻微的身体活动。当Emax从0.6mmHg / mL增加到1.8mmHg / mL以模拟心脏恢复时,响应速度从7000rpm降低到6300rpm。可以通过建议的控制策略来检测泵的最佳工作点,而无需操作员为控制变量设置参考值。

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