Document Type

Article

Research Focus Area

Health Care Technology and Biomedical Engineering

Publication Date

2014

Journal or Book Title

Industrial and Engineering Chemistry Research

Volume

53

Issue

47

First Page

18216

Last Page

18225

DOI

10.1021/ie404119b

Abstract

The ability to accurately develop subject-specific, input causation models, for blood glucose concentration (BGC) for large input sets can have a significant impact on tightening control for insulin dependent diabetes. More specifically, for Type 1 diabetics (T1Ds), it can lead to an effective artificial pancreas (i.e., an automatic control system that delivers exogenous insulin) under extreme changes in critical disturbances. These disturbances include food consumption, activity variations, and physiological stress changes. Thus, this paper presents a free-living, outpatient, multiple-input, modeling method for BGC with strong causation attributes that is stable and guards against overfitting to provide an e ffective modeling approach for feedforward control (FFC). This approach is a Wiener block-oriented methodology, which has unique attributes for meeting critical requirements for effective, long-term, FFC.

Comments

Reprinted (adapted) with permission from Industrial and Engineering Chemistry Research 53 (2104): 18216, doi: 10.1021/ie404119b. Copyright 2014 American Chemical Society.

Copyright Owner

American Chemical Society

Language

en

File Format

application/pdf

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