Next Article in Journal
Towards Tangible Vision for the Visually Impaired through 2D Multiarray Braille Display
Next Article in Special Issue
Continuous Glucose Monitors and Activity Trackers to Inform Insulin Dosing in Type 1 Diabetes: The University of Virginia Contribution
Previous Article in Journal
Polymeric Transducers: An Inkjet Printed B-Field Sensor with Resistive Readout Strategy
Previous Article in Special Issue
Wearable-Sensor-Based Detection and Prediction of Freezing of Gait in Parkinson’s Disease: A Review
Open AccessFeature PaperArticle

Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime

Department of Information Engineering, University of Padova, 35131 Padova, Italy
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(23), 5320; https://doi.org/10.3390/s19235320
Received: 31 October 2019 / Revised: 29 November 2019 / Accepted: 1 December 2019 / Published: 3 December 2019
(This article belongs to the Special Issue Wearable Sensors in Healthcare: Methods, Algorithms, Applications)
Factory-calibrated continuous glucose monitoring (FC-CGM) sensors are new devices used in type 1 diabetes (T1D) therapy to measure the glucose concentration almost continuously for 10–14 days without requiring any in vivo calibration. Understanding and modelling CGM errors is important when designing new tools for T1D therapy. Available literature CGM error models are not suitable to describe the FC-CGM sensor error, since their domain of validity is limited to 12-h time windows, i.e., the time between two consecutive in vivo calibrations. The aim of this paper is to develop a model of the error of FC-CGM sensors. The dataset used contains 79 FC-CGM traces collected by the Dexcom G6 sensor. The model is designed to dissect the error into its three main components: effect of plasma-interstitium kinetics, calibration error, and random measurement noise. The main novelties are the model extension to cover the entire sensor lifetime and the use of a new single-step identification procedure. The final error model, which combines a first-order linear dynamic model to describe plasma-interstitium kinetics, a second-order polynomial model to describe calibration error, and an autoregressive model to describe measurement noise, proved to be suitable to describe FC-CGM sensor errors, in particular improving the estimation of the physiological time-delay. View Full-Text
Keywords: continuous glucose monitoring; measurement error; calibration error; modeling; glucose sensor; parameter estimation continuous glucose monitoring; measurement error; calibration error; modeling; glucose sensor; parameter estimation
Show Figures

Figure 1

MDPI and ACS Style

Vettoretti, M.; Battocchio, C.; Sparacino, G.; Facchinetti, A. Development of an Error Model for a Factory-Calibrated Continuous Glucose Monitoring Sensor with 10-Day Lifetime. Sensors 2019, 19, 5320.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop