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A Fuzzy Model of Glucose Regulation

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Abstract

We present a detailed glucose regulation model using fuzzy inference system (FIS) descriptions of hormonal control action and the familiar Michaelis–Menten (M–M) kinetic description for glucose transport. The fuzzy M–M model is compared and contrasted with a well-known comprehensive glucose model. The two models give similar results for glucose response, endogenous glucose production, and total uptake. The fuzzy M–M model features a renal subsystem that provides 25% of the endogenous glucose production. The work demonstrates the successful application of fuzzy logic and fuzzy inference to biological modelling. The flexibility of fuzzy inference, a linguistic description technique, permits conceptually simple statements about nonlinear processes.

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  1. Biomedical and Electrical Engineering, University of Arkansas, Fayetteville Arkansas, Arkansas, 72701

    Em Ward

  2. Electrical Engineering, University of Arkansas, Fayetteville, Arkansas, 72701

    Terry Martin

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Ward, E., Martin, T. A Fuzzy Model of Glucose Regulation. J Med Syst 30, 187–203 (2006). https://doi.org/10.1007/s10916-005-7983-2

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