Control Systems for Artificial Pancreas Use During and After Exercise

运动期间和运动后使用人工胰腺的控制系统

• 批准号: 8643031
• 负责人: Ali Cinar
• 金额: $ 247.81万
• 依托单位: ILLINOIS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-30 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8643031
• 关键词: Aerobic; Aerobic Exercise; Algorithms; Artificial Pancreas; Behavior; Behavioral Sciences; Blood Glucose; Camping; Child; Clinical Research; Collaborations; Data; Development; Diabetes Mellitus; Discipline; Eating; Elements; Energy Metabolism; Engineering; Environment; Evaluation; Event; Exercise; Exercise Physiology; Expenditure; Feedback; Foundations; Fright; Glucose; Goals; Hormones; Hour; Hypoglycemia; Individual; Infusion procedures; Injection of therapeutic agent; Insulin; Insulin-Dependent Diabetes Mellitus; Life; Life Style; Manuals; Measurement; Medicine; Metabolic; Methods; Modeling; Patient-Focused Outcomes; Patients; Pattern; Performance; Physical activity; Physiological; Play; Quality of life; Research; Resistance; Simulate; Sports; Stress; Structure; System; Techniques; Technology; Testing; Variant; Work; base; blood glucose regulation; design; glucose monitor; glycemic control; nutrition; patient population; programs; public health relevance; satisfaction; simulation; subcutaneous; tool

DESCRIPTION (provided by applicant): Patients with type 1 diabetes would like to enjoy carefree and active lifestyles, conduct physical activities and exercise programs. An artificial pancreas (AP) that does not necessitate manual inputs such as meal or physical activity information from the patient can accommodate these wishes. Research on the development of AP systems that can control blood glucose levels during the physical activities of patients is important because many patients use daily physical activity as an important element of regulating their blood glucose concentrations and participate in individual and/or group sports that dramatically change their blood glucose levels. Also, the activity patterns in several sports with bursts of high-intensity efforts are similar to children's play and the AP system developed in the proposed work will be more conducive to the carefree play of children. To date, few research groups have attempted to test their AP technologies in an environment of exercise and none have focused on the examination of different types of activity. An AP with properly developed control and hypoglycemia early-warning systems can be safe and effective to use both during and after a variety of types of exercise for patients with type 1 diabetes. This technology will dramatically reduce the number and duration of hypoglycemic events, as compared to the currently available methods of insulin therapy (continuous subcutaneous insulin infusions or multiple daily injections). Such AP systems can only be developed by using a sophisticated multivariable approach that includes glucose concentrations and a number of physiological variables that impact glucose homeostasis such as energy expenditure. Our multivariable recursive modeling and adaptive control framework provides the proper setting to achieve AP systems that are effective during and after several of types of physical activities that differ markedly in energy expenditures and the metabolic systems used to support that expenditure (i.e. aerobic, anaerobic, and mixed activities, team sports). The proposed AP uses patient-specific recursive dynamic models that predict blood glucose concentrations by using subcutaneous glucose measurements and physiological data, early warning systems for hypoglycemia, and adaptive controllers based on these models to calculate insulin infusion rates. The project aims are to develop multivariable control and hypoglycemia early warning systems for APs that will be safe to use during and after various types of exercise and group sports for patients with diabetes, to develop a multivariable simulation system to simulate the effects of different types of exercise on variations in blood glucose levels and test the algorithm developed, to assess the performance of the AP system in clinical studies at Clinical Research Centers and diabetes sports camps and to determine the impact of the AP system developed for changes in fear of hypoglycemia, quality of life, and treatment satisfaction.

描述（由申请人提供）：1型糖尿病患者希望享受无忧无虑、积极的生活方式，进行体育活动和锻炼计划。不需要手动输入患者的膳食或体力活动信息的人工胰腺（AP）可以满足这些愿望。研究开发能够在患者体力活动期间控制血糖水平的 AP 系统非常重要，因为许多患者将日常体力活动作为调节血糖浓度的重要因素，并参加个人和/或团体运动，从而显着改变他们的血糖水平。此外，一些爆发性高强度运动的活动模式与儿童游戏和 2017 年开发的 AP 系统类似。 拟议的工作将更有利于孩子们无忧无虑的玩耍。迄今为止，很少有研究小组尝试在运动环境中测试他们的 AP 技术，也没有一个研究小组专注于检查不同类型的活动。具有适当开发的控制和低血糖预警系统的 AP 可以安全有效地在 1 型糖尿病患者进行各种类型的运动期间和之后使用。与目前可用的胰岛素治疗方法（连续皮下胰岛素输注或每日多次注射）相比，该技术将大大减少低血糖事件的数量和持续时间。这种 AP 系统只能通过使用复杂的多变量方法来开发，其中包括葡萄糖浓度和许多影响葡萄糖稳态的生理变量，例如能量消耗。我们的多变量递归建模和自适应控制框架提供了适当的设置来实现 AP 系统，该系统在多种类型的身体活动期间和之后都有效， 能量消耗和用于支持该消耗的代谢系统（即有氧、无氧和混合活动、团队运动）存在显着差异。所提出的 AP 使用患者特定的递归动态模型，通过使用皮下葡萄糖测量和生理数据、低血糖预警系统以及基于这些模型计算胰岛素输注速率的自适应控制器来预测血糖浓度。该项目的目标是开发AP的多变量控制和低血糖预警系统，使糖尿病患者在各种类型的运动和团体运动期间和之后可以安全使用，开发多变量模拟系统来模拟不同类型的运动对血糖水平变化的影响并测试开发的算法，评估AP系统在临床研究中心和糖尿病运动营的临床研究中的性能，并 确定针对低血糖恐惧、生活质量和治疗满意度变化而开发的 AP 系统的影响。

项目成果

A physical activity-intensity driven glycemic model for type 1 diabetes.

体力活动强度驱动的 1 型糖尿病血糖模型。

• DOI: 10.1016/j.cmpb.2022.107153
• 发表时间: 2022
• 期刊: Computer methods and programs in biomedicine
• 影响因子: 6.1
• 作者: Hobbs,Nicole;Samadi,Sediqeh;Rashid,Mudassir;Shahidehpour,Andrew;Askari,MohammadReza;Park,Minsun;Quinn,Laurie;Cinar,Ali
• 通讯作者: Cinar,Ali