Journal
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Volume 53, Issue 47, Pages 18216-18225Publisher
AMER CHEMICAL SOC
DOI: 10.1021/ie404119b
Keywords
-
Categories
Funding
- National Institutes of Health [1R01DK085611]
- Juvenile Diabetes Research Foundation [5-2010-7]
Ask authors/readers for more resources
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 effective 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available