A novel insulin delivery algorithm in rats with Type 1 diabetes: The fading memory proportional-derivative method
A novel insulin delivery algorithm in rats with Type 1 diabetes: The fading memory proportional-derivative method
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DOI：
10.1111/j.1525-1594.2005.29096.x
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发表时间：
2005-08-01
影响因子：
2.4
通讯作者：
Ward, WK
中科院分区：
文献类型：
--
作者：
Gopakumaran, B;Duman, HM;Ward, WK
一种自动控制胰岛素释放的算法在患有1型糖尿病的大鼠身上进行了测试。这种非线性算法包括比例误差和导数误差的渐变记忆部分，以模拟正常的胰岛素分泌。采用了比例项和导数项的误差加权函数，并设计了误差自适应性能指标。在算法的第一个版本中，比例增益是自适应变化的。在第二个版本中，基础胰岛素递送率较低是适应性变化的。使用频繁采血和静脉注射胰岛素进行了6个6小时的研究，每个版本都是如此。在版本2的研究中，过去两个小时的血糖水平得到了很好的控制，明显低于版本1(118+/-2.0比130+/-2.9毫克/分升)。两种版本都不会产生低血糖。未来使用该算法的研究需要将重点放在结合胰岛素输送的自动血糖检测上。
An algorithm designed to automatically control insulin delivery was tested in rats with Type 1 diabetes. This nonlinear algorithm included a fading memory component of proportional and derivative errors in order to simulate normal insulin secretion. Error-weighting functions for the proportional and derivative terms were used with a performance index designed for error adaptation. In the first version of the algorithm, the proportional gain was adaptively varied. In the second version, a low rate of basal insulin delivery was adaptively varied. Six 6-h studies with each version were conducted using frequent blood sampling and intravenous insulin delivery. In Version 2 studies, blood glucose levels during the last two hours were well-controlled and significantly lower than in Version 1 (118 +/- 2.0 vs. 130 +/- 2.9 mg/dL). Neither version produced hypoglycemia. Future research using this algorithm needs to focus on automated glucose sensing in combination with insulin delivery.