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Modeling, Identification, and Control towards Adaptive Personalized Glucose Management for Insulin-Deficient Diabetes

Modeling, Identification, and Control towards Adaptive Personalized Glucose Management for Insulin-Deficient Diabetes
针对胰岛素缺乏型糖尿病的自适应个性化血糖管理的建模、识别和控制
批准号:
1200838
负责人:
Qian Wang
金额:
$30.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-01 至 2016-12-31

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中文摘要
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英文摘要
The research objective of this award is to develop modeling and control algorithms for personalized adaptive insulin therapy. The algorithms can be used in the artificial pancreas for type-1 diabetes, but also would be useful for glucose management for insulin-dependent type-2 diabetes. This research will characterize patient-specific glucose dynamics by data-driven models with time-varying parameters that can be adjusted for the effects of food intake, physical activity and emotional tone under natural living conditions. This research will also develop adaptive control algorithms that enable a better control of hyperglycemia and prevention of hypoglycemia. Robustness issues will be addressed with respect to uncertainties in estimation of carb content, uncertain time-delay of meal intake, and variations in insulin and carb sensitivities. Deliverables include easy-to-implement real-time parameter estimation algorithms for insulin-glucose kinetics, adaptive control algorithms for insulin delivery, evaluation and validation via a FDA-approved simulator for type-1 diabetes, documentation of research results, and engineering student education.If successful, the results of this research will facilitate the development of a mechanical artificial pancreas by means of providing a control algorithm used to close the loop between glucose sensing and insulin delivery in the artificial pancreas. Patients with type-1 or type-2 diabetes will benefit from the results of this research by lowering the risk of many of the devastating long-term complications. After testing and evaluation through FDA-approved simulation platforms, the results are transformable to be used in insulin pumps for clinical tests. Engineering students will get involved in this research through senior design projects as well as projects in undergraduate- and graduate-level control courses, e.g., design of user-friendly tools in aiding the control of diet and improvement of control algorithms.
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  • 批准号:
    1926601
  • 项目类别:
    Standard Grant
  • 资助金额:
    $41.02万
  • 财政年份:
    2019
  • 负责人:
    Qian Wang
  • 依托单位:
国内基金
海外基金
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位: