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Challenges and strategies of oral insulin delivery 会议论文
作者:  Gan Y(甘勇)
收藏  |  浏览/下载:24/0  |  提交时间:2019/01/08
PID control of glucose concentration in subjects with type 1 diabetes based on a simplified model: An in silico trial (EI CONFERENCE) 会议论文
10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China
Li P.; Yu L.; Guo L.; Dong J.; Hu J.; Fang Q.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25
An artificial pancreas system (APS) mimics the function of a real pancreas through monitoring a diabetic's blood glucose and administering the right dose of insulin via an automatic control loop. It is hailed as a promising cure of diabetes  though this technology is still years away from commercial use due to a few technological bottlenecks. The simulation model of insulin-glucose metabolism of type 1 diabetes mellitus (T1DM) is an essential part of APS. In order to simplify the parameter identification task so that the model can be implemented electronically with ease  this paper presents a simplified model based on Routh approximation model reduction method. The results show that the approximation error between the simplified model and the original model is so small that can be neglected. Based on the simplified model  a PID controller is designed to maintain normoglycemia (90mg/dl) in subjects with T1DM. The in silico simulation results show that the glucose concentration is controlled well  the risk of hyperglycemia and hypoglycemia is reduced a lot. This suggests that the simplified model describes the insulin-glucose metabolism process accurately  and the PID control algorithm is well-suitable to guide the further development of an APS. 2012 IEEE.  
Dose titration model and correlative factors analysis in Chinese patients with type-2 diabetes on basal insulin - results from an Observational Registry of Basal Insulin Treatment study 会议论文
ENDOKRYNOLOGIA POLSKA, 395-402, 2018
作者:  Chen, Jing;  Chen, Ying-Li;  Ji, Li-Nong;  Zhang, Pu-Hong;  Zhu, Dong-Shan
收藏  |  浏览/下载:1/0  |  提交时间:2019/12/25


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