Blood Glucose Prediction for “Artificial Pancreas” System
( Gluconeogenesis )
Publication series ： Gluconeogenesis
Author： Nikolay A. Bazaev and Kirill V. Pozhar
Publisher： IntechOpen
Publication year： 2017
E-ISBN: INT6370067142
P-ISBN(Paperback): 9789535133230
P-ISBN(Hardback): 9789535133247
Subject： R3 Basic Medical
Keyword： 基础医学
Language： ENG
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Blood Glucose Prediction for “Artificial Pancreas” System
Description
The aim of modern science in diabetes therapy is to develop a closed-loop system to control blood glucose (BG) (“artificial pancreas”). Such a system includes glucose monitor, insulin pump and algorithms of their interaction and blood glucose (BG) dynamics analysis. Current work is devoted to mathematic modeling of BG dynamics, development of BG prediction algorithm and its approbation on clinical data Diabetes Research in Children Network (DirecNet). Prediction algorithm is based on sigma model of BG regulation and is supposed to be used for “artificial pancreas” system. The algorithm was tested under condition of possible errors in glucometer and/or insulin pump operation. Root-mean-square error of BG prediction is 15.7 mg/dl. Algorithm corrects 97.5% errors.
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