Dua Pinky, Doyle Francis J, Pistikopoulos Efstratios N
Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, UK.
IEEE Trans Biomed Eng. 2006 Aug;53(8):1478-91. doi: 10.1109/TBME.2006.878075.
An advanced model-based control technique for regulating the blood glucose for patients with Type 1 diabetes is presented. The optimal insulin delivery rate is obtained off-line as an explicit function of the current blood glucose concentration of the patient by using novel parametric programming algorithms, developed at Imperial College London. The implementation of the optimal insulin delivery rate, therefore, requires simple function evaluation and minimal on-line computations. The proposed framework also addresses the uncertainty in the model due to interpatient and intrapatient variability by identifying the model parameters which ensure that a feasible control law can be obtained. The developments reported in this paper are expected to simplify the insulin delivery mechanism, thereby enhancing the quality of life of the patient.
提出了一种用于调节1型糖尿病患者血糖的基于先进模型的控制技术。利用伦敦帝国理工学院开发的新型参数规划算法，离线获得最佳胰岛素输送速率，该速率是患者当前血糖浓度的显式函数。因此，最佳胰岛素输送速率的实施只需要简单的函数求值和最少的在线计算。所提出的框架还通过识别模型参数来解决由于患者间和患者内变异性导致的模型不确定性，以确保能够获得可行的控制律。本文报道的进展有望简化胰岛素输送机制，从而提高患者的生活质量。
