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Systematic Design and Analysis of Closed-Loop Controllers for Automated Hypovolemia Treatment

自动低血容量治疗闭环控制器的系统设计与分析

基本信息

批准号：
1760817
负责人：
Jin-Oh Hahn
金额：
$ 34.63万
依托单位：
University of Maryland, College Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-09-15 至 2023-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1760817&HistoricalAwards=false
关键词：
Systematic Design Analysis Closed Loop

项目摘要

This project will create an engineering-driven approach for use in development of comprehensive, automated treatment of critically ill patients suffering from hypovolemia (low blood volume). The research will focus on developing methods to monitor the patient?s overall blood volume state, creation of a mathematical model of the patient?s blood system, developing an algorithm to guide treatment decisions, and a system of controllers for treatment. The outcomes from this project will advance national health and quality of care of hypovolemic patients by improving treatment effectiveness as well as reducing healthcare costs. More generally, it will further the progress of basic science related to the automation of healthcare. This project will also support STEM education and inclusion of diversity through its unique education and outreach activities to attract under-represented groups to research.Introduction of closed-loop automation to the care of critically ill patients suffering from hypovolemia has potential to overcome challenges related to patient safety and treatment effectiveness. However, existing effort has mostly resorted to ad-hoc control techniques in the absence of control-oriented mathematical models and systematic model-based tools for real-time patient monitoring and closed-loop treatment control. To address these challenges, this project seeks to develop a suite of methods and tools to enable closed-loop automation of hypovolemia treatment, including an array of control-oriented models of critically ill patients under hypovolemia, disciplined procedures for system identification and analysis of such models, novel techniques for real-time monitoring of a patient's blood volume state leveraging such models, and systematic methods for the design of model-based closed-loop hypovolemia treatment controllers. This project will advance a wide spectrum of aspects related to closed-loop control in medicine, ultimately contributing to improved quality of life of human beings.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将创建一种工程驱动的方法，用于开发对患有低血容量（低血容量）的危重患者的综合自动化治疗。这项研究将集中在开发方法来监测病人？的整体血容量状态，创建一个数学模型的病人？的血液系统，开发一种算法，以指导治疗决策，和一个系统的控制器的治疗。该项目的成果将通过提高治疗效果和降低医疗费用来促进国民健康和低血容量患者的护理质量。更广泛地说，它将促进与医疗保健自动化相关的基础科学的进步。该项目还将通过其独特的教育和外展活动支持STEM教育和包容多样性，以吸引代表性不足的群体参与研究。将闭环自动化引入低血容量重症患者的护理，有可能克服与患者安全和治疗有效性相关的挑战。然而，现有的努力大多采取了特设的控制技术，在缺乏面向控制的数学模型和系统的基于模型的工具，实时病人监测和闭环治疗控制。为了应对这些挑战，该项目旨在开发一套方法和工具，以实现低血容量治疗的闭环自动化，包括一系列低血容量危重患者的控制导向模型，系统识别和分析此类模型的纪律程序，利用此类模型实时监测患者血容量状态的新技术，以及用于设计基于模型的闭环血容量不足治疗控制器的系统方法。该项目将推进医学闭环控制相关的广泛领域，最终为改善人类生活质量做出贡献。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。