期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 106, 期 1, 页码 55-66出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2011.11.006
关键词
Feedback control; Artificial neural network; In silico model; Ad hoc model; Artificial pancreas
The closed loop control of blood glucose levels might help to reduce many short- and long-term complications of type 1 diabetes. Continuous glucose monitoring and insulin pump systems have facilitated the development of the artificial pancreas. In this paper, artificial neural networks are used for both the identification of patient dynamics and the glycaemic regulation. A subcutaneous glucose measuring system together with a Lispro insulin subcutaneous pump were used to gather clinical data for each patient undergoing treatment, and a corresponding in silico and ad hoc neural network model was derived for each patient to represent their particular glucose-insulin relationship. Based on this nonlinear neural network model, an ad hoc neural network controller was designed to close the feedback loop for glycaemic regulation of the in silico patient. Both the neural network model and the controller were tested for each patient under simulation, and the results obtained show a good performance during food intake and variable exercise conditions. (C) 2011 Elsevier Ireland Ltd. All rights reserved.
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