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- W2101617661 abstract "Multivariate statistical analysis techniques are applied to insulin infusion set failure detection (IISF), a challenging problem faced by individuals with type 1 diabetes that are on continuous insulin infusion pump therapy. Bivariate classification (BC), principal component analysis (PCA), and a combined approach were applied to simulated glucose concentrations for 10 patients, based on a nonlinear physiological model of insulin and glucose dynamics. The PCA algorithm had fewer false alarms than BC, while detecting most drifting (ramp) infusion set failures before complete failure occurred." @default.
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- W2101617661 date "2011-06-01" @default.
- W2101617661 modified "2023-10-17" @default.
- W2101617661 title "Multivariate statistical analysis to detect insulin infusion set failure" @default.
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- W2101617661 doi "https://doi.org/10.1109/acc.2011.5990951" @default.
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