Query: title:(Comparison of Three Nonlinear Filters for Fault Detection in Continuous Glucose Monitors), Author: Mahmoudi

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title:(Comparison of Three Nonlinear Filters for Fault Detection in Continuous Glucose Monitors) Author: Mahmoudi

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title:(Comparison AND of AND Three AND Nonlinear AND Filters AND for AND Fault AND Detection AND in AND Continuous AND Glucose AND Monitors)

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10 items by relevance

1 Conference paper

Comparison of three nonlinear filters for fault detection in continuous glucose monitors 10.1109/EMBC.2016.7591484

Mahmoudi, Zeinab; Wendt, Sabrina Lyngbye; Boiroux, Dimitri; Hagdrup, Morten; Norgaard, Kirsten; Poulsen, Niels Kjolstad; et al. (2 more)

2016 38th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (embc) — 2016, pp. 3507-3510

The purpose of this study is to compare the performance of three nonlinear filters in online drift detection of continuous glucose monitors. The nonlinear filters are the extended Kalman filter (EKF), the unscented Kalman filter (UKF), and the particle filter (PF). They are all based on a nonlinear

Year: 2016

Language: English

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2 Journal article

Comparison of three nonlinear filters for fault detection in continuous glucose monitors 10.1109/EMBC.2016.7591484