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Development of Artificial Pancreas Using Enhanced Control Algorithm and Insulin Delivery.

机译:使用增强控制算法和胰岛素输送来开发人造胰腺。

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摘要

Type 1 Diabetes Mellitus (T1DM) is a metabolic disorder in which an individual experiences chronic hyperglycemia (high level of blood glucose), because the pancreatic beta--cells cannot produce or secrete sufficient insulin. Without proper exogenous insulin injection treatment, people with T1DM may experience the complications (vascular damage, kidney failure, or eye damage) related to chronic hyperglycemia, and the complications may eventually result in death. However, the insulin injection treatment also can be harmful, as an over-dose of insulin may result in hypoglycemia (low level of blood glucose) that may result in confusion, coma, or death.;An Artificial Pancreas (AP) is an automated closed-loop system that measures blood glucose concentration and delivers insulin to regulate blood glucose for people with T1DM. Even though there has been significant technological advancement in the AP development, slow absorbing subcutaneous insulin delivery has limited the AP{textquotesingle}s ability to deal with unannounced meal disturbances. As an effort to reduce the actuation delay of the system, rapid acting inhaled and intraperitoneal insulin delivery options have attracted attention as alternative insulin delivery methods for the AP development.;In the work presented in this dissertation, the impact of insulin pharmacokinetics and pharmacodynamics (PK/PD) on performance and robustness of the closed-loop AP was investigated, and two novel APs using enhanced alternative insulin delivery options (inhaled and intraperitoneal routes) were designed and evaluated in simulation and in clinic. Also, a Moving Horizon State Estimator (MHSE) was incorporated into the zone Model Predictive Control (zone-MPC) algorithm to enhance the meal disturbance rejection capacity of the control algorithm.;The theoretical analysis and simulation results regarding the impact of insulin PK/PD on an AP illustrated that the faster acting insulin would result in a faster meal disturbance rejection and tighter glucose regulation. The simulation and clinical evaluations of the semi-automated AP (the AP consists of subcutaneous closed-loop control and inhalation of rapid acting Technosphere RTM Insulin, TI, at meal time) demonstrated that the inhalation of TI at meal time provided the necessary first phase insulin that was not achievable by conventional subcutaneous insulin delivery alone. The semi-automated AP using TI provided faster meal disturbance rejection without imposing extra hypoglycemia risk. The AP using rapid absorbing intraperitoneal insulin also resulted in better glucose regulation (longer time in the clinically accepted safe region, 70-180 mg/dL, and lower postprandial blood glucose peak) compared to the conventional AP using subcutaneous insulin. In addition, the {it in silico} evaluations showed that the MHSE estimated the states more accurately than the Luenberger observer. The zone-MPC using the MHSE responded to the meal earlier and more aggressively compared to the zone-MPC using the Luenberger observer.
机译:1型糖尿病(T1DM)是一种代谢性疾病,由于胰腺β细胞无法产生或分泌足够的胰岛素,因此个体会经历慢性高血糖症(高血糖)。如果没有适当的外源性胰岛素注射治疗,患有T1DM的人可能会遇到与慢性高血糖症有关的并发症(血管损伤,肾衰竭或眼睛损伤),并且最终可能导致死亡。但是,胰岛素注射治疗也可能是有害的,因为过量服用胰岛素可能会导致血糖过低(血糖水平低),从而导致精神错乱,昏迷或死亡。人工胰腺(AP)是自动的闭环系统,用于测量血糖浓度并输送胰岛素以调节T1DM患者的血糖。尽管AP的开发已经有了重大的技术进步,但皮下注射胰岛素的吸收速度缓慢限制了AP处理突发性进餐障碍的能力。为了减少系统的启动延迟,速效吸入和腹膜内胰岛素输送选择作为AP开发的替代胰岛素输送方法引起了人们的关注。 PK / PD)对闭环AP性能和鲁棒性的影响进行了研究,并设计了两种使用增强的替代胰岛素递送方式(吸入和腹膜内途径)的新型AP,并在模拟和临床中进行了评估。此外,将运动水平状态估计器(MHSE)纳入区域模型预测控制(zone-MPC)算法中,以提高控制算法的进餐干扰抑制能力。;关于胰岛素PK /的影响的理论分析和仿真结果AP上的PD显示,作用更快的胰岛素将导致更快的进餐障碍排除和更严格的葡萄糖调节。半自动AP的模拟和临床评估(AP由皮下闭环控制并在进餐时吸入速效Technosphere RTM胰岛素TI)在进餐时吸入TI提供了必要的第一阶段仅传统的皮下胰岛素递送无法实现的胰岛素。使用TI的半自动AP提供了更快的进餐障碍排除能力,而没有额外的低血糖风险。与使用皮下胰岛素的常规AP相比,使用快速吸收腹膜内胰岛素的AP还可以改善血糖调节(在临床可接受的安全区域时间更长,为70-180 mg / dL,并且餐后血糖峰值更低)。此外,{it in silico}评估显示,MHSE比Luenberger观察员更准确地估计了状态。与使用Luenberger观测器的区域MPC相比,使用MHSE的区域MPC对餐食的反应更早,更积极。

著录项

  • 作者

    Lee, Justin.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Chemical engineering.;Biomedical engineering.;Immunology.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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