Authors: Peng Li Lei Yu Qiang Fang ShuennYuh Lee
Publish Date: 2015/12/30
Volume: 54, Issue: 10, Pages: 1563-1577
Abstract
Cobelli’s glucose–insulin model is the only computer simulator of glucose–insulin interactions accepted by Food Drug Administration as a substitute to animal trials However it consists of multiple differential equations that make it hard to be implemented on a hardware platform In this investigation the Cobelli’s model is simplified by Padé approximant method and implemented on a fieldprogrammable gate arraybased platform as a hardware model for predicting glucose changes in subjects with type 1 diabetes mellitus Compared with the original Cobelli’s model the implemented hardware model provides a nearly perfect approximation in predicting glucose changes with rather small rootmeansquare errors and maximum errors The RMSE results for 30 subjects show that the method for simplifying and implementing Cobelli’s model has good robustness and applicability The successful hardware implementation of Cobelli’s model will promote a wider adoption of this model that can substitute animal trials provide fast and reliable glucose and insulin estimation and ultimately assist the further development of an artificial pancreas systemAll the listed authors have participated actively in this investigation PL conceived the study designed and carried out most of this work and drafted the manuscript LY participated in the utilization of model order reduction in the original Cobelli’s model SYL collaborated on the FPGA implementation QF originally formulated the idea conceived the study together with LP and revised the manuscript criticallyWe believe that the manuscript complies with the aims and scope of Medical and Biological Engineering and Computing and this manuscript is our original unpublished work and it has not been submitted to any other journal for reviews We confirm that all the listed authors have approved the submitted manuscript to your journalCobelli’s model is divided up into three mutually interacted components see Fig 2 carbohydrate intake submodel CIS subcutaneous insulin infusion submodel SIIS and glucose–insulin interaction submodel GIIS GIIS model consists of glucose kinetics endogenous glucose production glucose renal excretion and glucose utilization The variables and parameters of this model represent a certain physical meaning for details see 28 8 27
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