课题基金 / 基金详情

Multivariable Artificial Pancreas System to Detect and Mitigate the Effects of Unannounced Physical Activities and Acute Psychological Stress

Multivariable Artificial Pancreas System to Detect and Mitigate the Effects of Unannounced Physical Activities and Acute Psychological Stress
多变量人工胰腺系统可检测和减轻未经通知的体力活动和急性心理压力的影响
批准号:
10488195
负责人:
Ali Cinar
金额:
$50.3万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-12 至 2024-07-31

项目摘要

项目成果

Ali Cinar的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
IIT Project Summary/Abstract The objective of this proposal is to demonstrate a viable, functionally integrated multivariable artificial pancreas that will mitigate meal, physical activity and acute psychological stress challenges without any manual inputs to better regulate glucose levels of people with diabetes. The first generation of artificial pancreas (AP) systems, the hybrid closed-loop AP, collects data from continuous glucose monitoring devices and relies on manual user inputs for mitigating the effects of meals and physical activities. Acute psychological stress and many other physical activities besides planned exercise can affect blood glucose levels and cause challenges to maintaining euglycemia for people with type 1 diabetes. Various physical activities and acute psychological stress events affect the metabolism and sensitivity to insulin in different ways. Hence, their types, intensities and durations, and their individual and concurrent presence must be detected in order to determine the optimal insulin administration. The multivariable artificial pancreas approach provides a well-integrated and user-friendly technology with minimal burden on the user and mitigates the effects of unexpected physical activities and acute psychological stress inducements. Additionally, this technology would be safer by reducing the number and duration of hypoglycemic and hyperglycemic events, compared to APs based exclusively on continuous glucose monitoring device data. Such multivariable AP systems can only be developed by using a sophisticated multivariable approach that uses real-time information from continuous glucose monitoring devices and physiological variables obtained from wearable devices worn in free-living daily life.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
SCH: Integrating AI and System Engineering for Glucose Regulation in Diabetes
SCH: Integrating AI and System Engineering for Glucose Regulation in Diabetes
Multivariable Artificial Pancreas System to Detect and Mitigate the Effects of Unannounced Physical Activities and Acute Psychological Stress
Control Systems for Artificial Pancreas Use During and After Exercise
海外基金