Enhancing glucose sensor models: modeling the drop-outs.

Abstract:

BACKGROUND:Computer simulation environments have been used in the development of many artificial pancreas systems. A glucose sensor model is an essential part of these environments, and different models have been proposed. However, not one of these models accounts for drop-outs of sensor readings, a well-known phenomenon caused by physical pressure on the sensor site. In this work, we have proposed an enhanced model that accounts for drop-outs and demonstrated its improvement over the existing one-compartment model. MATERIALS AND METHODS:Potential drop-outs were augmented to the existing model, and their incidences and magnitudes were estimated simultaneously with the model parameters using the Bayesian approach. Drop-outs and model parameters were estimated from data collected from 15 subjects with type 1 diabetes who underwent an artificial pancreas study. Model fitting and parameter estimates were contrasted between the enhanced model and the existing one-compartment model. RESULTS:Both models achieved similar parameter estimates (P=not significant) and were all physiologically plausible. The enhanced model further estimated 1.71 drop-outs per day, which improved model fit (weighted residual reduced from [minimum -4%, maximum 3%] to [-3%, 2%]) and reduced significantly the deviance information criteria from 2739.72 to 1456.00. CONCLUSIONS:The enhanced model improves fitting of glucose levels and should allow more realistic simulations that assesses artificial pancreas systems.

journal_name

Diabetes Technol Ther

authors

Emami A,Rabasa-Lhoret R,Haidar A

doi

10.1089/dia.2014.0309

subject

Has Abstract

pub_date

2015-06-01 00:00:00

pages

420-6

issue

6

eissn

1520-9156

issn

1557-8593

journal_volume

17

pub_type

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