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（申请人提供）：1型糖尿病患者喜欢无忧无虑、积极的生活方式，喜欢进行体育活动和锻炼项目。人工胰腺（AP）不需要人工输入，如患者的饮食或身体活动信息，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系统是很重要的，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，这极大地改变了他们的血糖水平。此外，在一些高强度的运动中，活动模式与儿童的游戏和AP系统相似

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