Model-Based Advanced Control of Insulin in T1DM

描述（由申请人提供）： 这项工作的长期目标是开发新的算法方法，以自动化的方式优化1型糖尿病患者的胰岛素输送。具体而言，将开发新的方法来患者表征，以预测葡萄糖曲线在各种条件下的压力，利用模式识别的发展，从工程文献。最终结果将是开发一种算法，预测临床团队输送给患者的胰岛素剂量。这将涉及识别对膳食和其他刺激的葡萄糖反应的重复模式。该算法将在模拟和临床试验中测试不同程度的患者压力和膳食刺激，以及对传感器噪声和患者表征不确定性的鲁棒性。该项目的具体目标是：i）根据1型糖尿病患者的葡萄糖谱表征一组1型糖尿病患者，ii）基于模式识别开发胰岛素给药的算法，iii）在住院环境中通过胰岛素输注的餐后调节来模拟与进餐相关的胰岛素分泌的双相，iv）在药理学诱导的应激状态下和运动后重复所述方法，和v）开发用于1型糖尿病条件下血糖调节的基于模型的先进控制策略。这些目标将把从系统工程中得出的原型算法与一系列临床测试中的验证相结合。系统工程师和知名糖尿病研究人员在既定的临床研究环境中拟议的合作将允许一种新的方法融合，这种方法可以真正被描述为“从工作台到床边”。该提案中的医疗合作者位于著名的Sansum糖尿病研究所，该研究所距离加州大学圣巴巴拉校区不到10英里。将促进人员交流，使该项目支持的学生和博士后能够在研究所和大学工作。

DESCRIPTION (provided by applicant): The long term objective of this work is to develop new algorithmic approaches to optimize the delivery of insulin in an automated fashion to people with type 1 diabetes. Specifically, novel approaches to patient characterization will be developed to predict glucose profiles under various conditions of stress, exploiting developments in pattern recognition from the engineering literature. The net result will be the development of an algorithm that predicts the dosages of insulin delivered to the patient by the clinical team. This will involve the identification of recurring patterns of glucose response to meal and other stimuli. The algorithm will be tested in both simulation and clinical trials for varying degrees of patient stress and meal stimuli, as well as robustness to sensor noise and patient characterization uncertainty. The specific aims of this project are to: i) characterize a group of type 1 diabetic patients in terms of their glucose profiles, ii) develop algorithms for insulin dosing based on pattern recognition, iii) mimic the dual phase of insulin secretion related to meals through post-meal regulation of insulin infusion in an inpatient setting, iv) repeat the methods under pharmacologically-induced stress states and following exercise, and v) develop advanced model-based control strategy for glucose regulation under conditions of type 1 diabetes. The aims will blend prototype algorithms that are drawn from systems engineering with validation in a series of clinical tests. The proposed collaboration between systems engineers and renowned diabetes researchers in an established clinical research setting will allow a novel fusion of methods that can be truly characterized as "bench to bedside". The medical collaborators in the proposal are located at the prestigious Sansum Diabetes Research Institute, which is located less than 10 miles from the campus of the University of California, Santa Barbara. The exchange of personnel will be facilitated, allowing the student and post-doc supported on this project to work at both the institute and the University.