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

• 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

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.

该项目将创建一种以工程为导向的方法，用于开发患有低血症患者的重症患者的全面，自动化治疗（低血容量）。这项研究将着重于开发监测患者的总体血容量状态，创建患者血液系统的数学模型，开发算法以指导治疗决策的算法以及用于治疗的控制器系统的方法。 该项目的结果将通过提高治疗效果以及降低医疗保健费用来提高全国健康和降低血容量患者的护理质量。更普遍地，它将进一步与医疗自动化有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来支持STEM教育和多样性，以吸引代表性不足的群体进行研究。引入闭环自动化，以照顾患有低迷情绪的重症患者具有克服与患者安全和治疗效果相关的挑战。 但是，在没有以控制为导向的数学模型和基于系统的模型工具的情况下，现有的努力主要用于临时控制技术，用于实时患者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，包括一系列在低文血管下的重症患者的导向危重患者的模型，用于系统识别和分析此类模型的系统识别和分析以实现此类模型的模型的新技术的系统识别和系统型模型的新技术 - 低血症治疗控制器。 该项目将促进与医学闭环控制有关的各种方面，最终有助于改善人类的生活质量。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力优点和更广泛影响的审查标准来评估值得通过评估来支持的。

项目成果

Model-Based Non-Invasive Hemorrhage Detection: Observer-Based and Parameter Estimation-Based Approaches

基于模型的无创出血检测：基于观察者和基于参数估计的方法

• 发表时间: 2022
• 期刊: American Control Conference
• 作者: Yekanth Ram Chalumuri, Xin Jin

Design and In Silico Evaluation of a Closed-Loop Hemorrhage Resuscitation Algorithm With Blood Pressure as Controlled Variable

• DOI: 10.1115/1.4052312
• 发表时间: 2022-02-01
• 期刊: JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
• 影响因子: 1.7
• 作者: Alsalti, Mohammad;Tivay, Ali;Hahn, Jin-Oh
• 通讯作者: Hahn, Jin-Oh

Observer Design and Analysis for Non-Invasive Hemorrhage Detection

非侵入性出血检测的观察者设计与分析

• DOI: 10.1016/j.ifacol.2021.11.192
• 发表时间: 2021
• 期刊: IFAC-PapersOnLine
• 作者: Jin, Xin;Chalumuri, Yekanth Ram;Tivay, Ali;Hahn, Jin-Oh
• 通讯作者: Hahn, Jin-Oh

Generative Modeling for Hardware-in-the-Loop Testing of Fluid Resuscitation Control Algorithms

液体复苏控制算法硬件在环测试的生成模型

• 发表时间: 2022
• 期刊: Military Health System Research Symposium
• 作者: Ali Tivay, Ramin Bighamian