A simplification of Cobelli’s glucose–insulin model for type 1 diabetes mellitus and its FPGA implementation

Peng Li, Lei Yu, Qiang Fang, Shuenn Yuh Lee

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

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 field-programmable gate array-based 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 root-mean-square 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 system.

Original languageEnglish
Pages (from-to)1563-1577
Number of pages15
JournalMedical and Biological Engineering and Computing
Volume54
Issue number10
DOIs
Publication statusPublished - 2016 Oct 1

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Computer Science Applications

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