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Multivariate statistical analysis to detect insulin infusion set failure

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. © 2011 AACC American Automatic Control Council.

Año de publicación:

2011

Keywords:

    Fuente:

    scopusscopus

    Tipo de documento:

    Conference Object

    Estado:

    Acceso restringido

    Áreas de conocimiento:

    • Diabetes

    Áreas temáticas:

    • Enfermedades

    Contribuidores:

    Ruben RojasRuben Rojas
    García-Gobín W.García-Gobín W.
    Bequette B.W.Bequette B.W.