Automating Glucose Control in Type 1 Diabetes

被引:0
作者
Bondia, Jorge [1 ,2 ]
机构
[1] Univ Politecn Valencia, Inst Univ Automat & Informat Ind, Valencia, Spain
[2] Ctr Invest Biomed Red Diabet & Enfermedades Metab, Madrid, Spain
来源
IEEE 15TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI 2021) | 2021年
关键词
D O I
10.1109/SACI51354.2021.9465577
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Type 1 diabetes (T1D) is a chronic metabolic disease characterised by an autoimmune destruction of the beta cells in the pancreas, responsible of insulin secretion which promotes glucose transport into the cells. The resulting absolute insulin deficiency results in high blood glucose levels (hyperglycaemia). Therefore, people with T1D require exogenous delivery of insulin in order to survive. Sustained elevated glucose levels can lead to long-term complications (retinopathy, nephropathy, heart disease), which place a heavy burden to the healthcare system. Due to the complexity of glucoseinsulin metabolism, achieving good glucose control is often a very difficult task. The development of continuous glucose monitoring (CGM) have opened the door to the development of automatic insulin delivery systems, the so-called artificial pancreas (AP). In the past 10 years there has been an intensive research effort from different players in the artificial pancreas development, which has translated into a first system reaching the market in 2017, although patient intervention for meal control is still needed (this is referred as 'hybrid artificial pancreas'). This has been thanks to important contributions from modelling and control engineering, in combination with technological and pharmacological achievements.
引用
收藏
页码:13 / 13
页数:1
相关论文
empty
未找到相关数据