Human-Aided Hierarchical Drug Delivery Control System

人辅助分级给药控制系统

• 批准号: 9522639
• 负责人: B. Wayne Bequette
• 金额: $ 43万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-03-15 至 2001-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9522639&HistoricalAwards=false
• 关键词: Human; Aided; Hierarchical; Drug; Delivery

9522639 Kaufman Critical care patients have often suffered a disturbance to the normal operation of their cardiovascular system; this disturbance could have been generated by surgery or some sort of trauma. A responsibility of the critical care physician is to maintain certain patient states within an acceptable operating range. Often, the anesthesiologist will infuse several drugs into the patient to control these states close to the desired values, historically, this has been done using a manual (open-loop) strategy. Towards the important goal of using feedback for aiding the anesthesiologist, the Departments of Biomedical (BME), Chemical (CHE), and Electrical, Computer, and Systems (ECSE) Engineering at Rensselaer Polytechnic Institute are proposing an interdisciplinary research project in the development and analysis of a human-aided supervisory adaptive control system and its application to a representative drug delivery system. This system will regulate the infusion of multiple drugs in order to simultaneously steer several hemodynamic states (eg blood pressure, cardiac output) towards desired values. This system can also be considered as an interactive human aided supervisory system in which the human operator or anesthesiologist commands the desired state and interacts with the control drug selection logic. From a set of measured signals, the patient state is constructed and then used by the anesthesiologist to command a desired state and with the help of a supervisory program, to select the controls or drugs. These drugs, along with the commanded values, are then used by the control system to steer the states towards their commanded values. Fuzzy and adaptive control concepts are to be used and an expert system will be used to select the proper (adaptive or fuzzy) controllers for the drug infusion rates. The novel contributions expected to result from the proposed research include: A system that manipulates the infusion of a variety of drugs, in response to some trauma, in a manner so as to steer the hemodynamic states towards their desired values. Procedures for studying the behavior of complex nonlinear systems that include a mixture of fuzzy controllers and conventional and/or adaptive controllers. Procedures for deciding what controls or drugs should be used and which should be nulled out for a specific state and mission. Control strategies that incorporate almost continuous measurements of cardiac output. ***

9522639考夫曼重症监护患者的心血管系统的正常运作经常受到干扰;这种干扰可能是由手术或某种创伤引起的。 重症监护医生的责任是将某些患者状态维持在可接受的操作范围内。 通常，麻醉师会将几种药物注入患者体内，以控制这些状态接近期望值，历史上，这是使用手动（开环）策略完成的。 为了实现使用反馈来帮助麻醉师的重要目标，伦斯勒理工学院的生物医学（BME），化学（CHE）和电气，计算机和系统（ECSE）工程系正在提出一个跨学科的研究项目，开发和分析一个人工辅助的监督自适应控制系统及其应用于代表性的药物输送系统。 该系统将调节多种药物的输注，以便同时将几种血液动力学状态（例如血压、心输出量）转向期望值。 该系统也可以被认为是一个交互式人工辅助监督系统，其中操作人员或麻醉师命令所需的状态并与控制药物选择逻辑交互。 从一组测量的信号中，构建患者状态，然后由麻醉师使用以命令期望的状态，并在监督程序的帮助下选择控制或药物。 这些药物，沿着命令值，然后由控制系统使用以将状态转向它们的命令值。 将使用模糊和自适应控制概念，并且将使用专家系统来为药物输注速率选择适当的（自适应或模糊）控制器。 预计拟议研究将产生的新贡献包括： 一个系统，操纵各种输液， 药物，以应对一些创伤，以某种方式，以便引导 血液动力学状态向其期望值。 研究复杂非线性系统行为的方法 包括模糊控制器和 常规和/或自适应控制器。 决定应采用何种控制措施或药物的程序 使用，并应针对特定状态将其置零， 使命。 控制策略包括几乎连续的心输出量测量。 ***