Methods for improving performance and reliability of biosensors

  • US 6,885,883 B2
  • Filed: 05/14/2001
  • Issued: 04/26/2005
  • Est. Priority Date: 05/16/2000
  • Status: Active Grant
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First Claim
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1. One or more microprocessors, comprising programming to control(i) operating a sensing device for obtaining a measured signal over time, comprising a measured signal response curve, from a sample comprising glucose collected from a biological system, wherein said measured signal is specifically related to the amount or concentration of glucose present in the biological system, and said measured signal response curve comprises kinetic and equilibrium regions;

  • and (ii) a computation method using (a) a mathematical model comprising selected parameters, wherein said model describes the measured signal response curve, and said mathematical model is selected from the group consisting of a first order process, combined first order and zero order process, a parallel multiple first order process, a flux process, and an nth order process, and (b) an error minimization method to iteratively estimate values of the parameters using said model to fit a predicted response curve to said measured signal response curve, wherein (a′

    ) the error minimization method provides a calculated error based on differences between said predicted and measured signal response curves, and (b′

    ) said estimating is iteratively performed until the calculated error between the predicted and measured signal response curves falls within an acceptable range or until no further statistically significant change is seen in the calculated error, at which time iterative estimation of the parameters is stopped, said iterative estimation and error minimization results in a predicted response curve corresponding to said measured signal response curve, said predicted response curve yields a predicted end-point value and a measurement correlated to the amount or concentration of the glucose.

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