Development of the Adaptive Control System of the Ventricular Assist Device Oriented to Knowledge Engineering

本研究的目的是利用控制工程和知识工程中的各种方法开发以下三个系统：心脑室辅助心血管动力学分析与辨识系统、心脑室辅助装置自适应控制器CAD系统和自动控制与监测专家系统。在与这些系统有机衔接的基础上，本研究还旨在建立一个良好的医生之间的人机界面，本文的主要研究成果如下：1)开发了用于合成心脑血管辅助装置自适应控制器的循环系统模拟器。2)开发了具有测量和分析功能的心脑血管辅助装置自适应控制系统。3)开发和评价了保持心脑血管辅助装置最佳工作点的自适应控制器的算法。4)心脑血管动力学估计和监测系统的开发。5)利用自主神经信息对心脑血管辅助装置的控制算法进行了基础研究。核心结果2)和3)是保持最优工作点的自适应控制器的发展。该控制器可以保持最合适的驱动模式，以避免血栓和溶血，并最大限度地减少驱动能量。这一功能是我们研究的一个独特成果，到目前为止还没有实现过。为了将该系统应用于临床，有必要对系统的健壮性和安全性进行评估，并建立专家系统等智能监测系统。

The purpose of this research was to develop the following three systems by means of various methods used in control engineering and knowledge engineering : an analysis and identification system for the cardiovascular dynamics with ventricular assistance, a CAD system for the adaptive controller of the ventricular assist device, and an expert system for automatic control and monitoring. On the basis of an organic connection with these systems, this research also aimed at establishing an excellent man-machine interface among the doctor, the patient and drive system of the ventricular assist deviceThe main results are as follows :1) Development of a circulatory system simulator for the synthesis of the adaptive controller of the ventricular assist device.2) Development of an adaptive control system of the ventricular assist device with the functions of measurement and analysis.3) Development and evaluation of the algorithms of the adaptive controller for keeping the optimal operating point of the ventricular assist device.4) Development of an estimation and monitoring system of the cardiovascular dynamics under ventricular device pumping.5) Basic study on control algorithms of the ventricular assist device using autonomic nervous information.The core result is the development of the adaptive controller for keeping optimal operating point concerned with 2) and 3). This controller can maintain the most suitable driving pattern for avoiding thrombosis and hemolysis and for minimizing driving energy. This function is a unique fruit of our research which has never been achieved so far. In order to apply the system to clinical use, it is necessary to evaluate robustness and safety and establish an intelligent monitoring system such as an expert system.