Application of the continuous-discrete extended Kalman filter for fault detection in continuous glucose monitors for type 1 diabetes

Zeinab Mahmoudi, Dimitri Boiroux, Morten Hagdrup, Kirsten Nørgaard, Niels Kjølstad Poulsen, Henrik Madsen, John Bagterp Jørgensen

10 Citationer (Scopus)

Abstract

The purpose of this study is the online detection of faults and anomalies of a continuous glucose monitor (CGM). We simulated a type 1 diabetes patient using the Medtronic virtual patient model. The model is a system of stochastic differential equations and includes insulin pharmacokinetics, insulin-glucose interaction, and carbohydrate absorption. We simulated and detected two types of CGM faults, i.e., spike and drift. A fault was defined as a CGM value in any of the zones C, D, and E of the Clarke error grid analysis classification. Spike was modelled by a binomial distribution, and drift was modelled by a Gaussian random walk. We used a continuous-discrete extended Kalman filter for the fault detection, based on the statistical tests of the filter innovation and the 90-min prediction residuals of the sensor measurements. The spike detection had a sensitivity of 93% and a specificity of 100%. Also, the drift detection had a sensitivity of 80% and a specificity of 85%. Furthermore, with 100% sensitivity the proposed method was able to detect if the drift overestimates or underestimates the interstitial glucose concentration.

OriginalsprogEngelsk
Titel2016 European Control Conference, ECC 2016
Antal sider6
ForlagInstitute of Electrical and Electronics Engineers Inc.
Publikationsdato6 jan. 2017
Sider714-719
Artikelnummer7810373
ISBN (Elektronisk)9781509025916
DOI
StatusUdgivet - 6 jan. 2017
Begivenhed2016 European Control Conference, ECC 2016 - Aalborg, Danmark
Varighed: 29 jun. 20161 jul. 2016

Konference

Konference2016 European Control Conference, ECC 2016
Land/OmrådeDanmark
ByAalborg
Periode29/06/201601/07/2016

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