초록 ▼

The invention relates generally to methods, systems, and devices for measuring the concentration of target analytes present in a biological system using a series of measurements obtained from a monitoring system and a Mixtures of Experts (MOE) algorithm. In one embodiment, the present invention desc

The invention relates generally to methods, systems, and devices for measuring the concentration of target analytes present in a biological system using a series of measurements obtained from a monitoring system and a Mixtures of Experts (MOE) algorithm. In one embodiment, the present invention describes a method for measuring blood glucose in a subject.

대표청구항 ▼

What is claimed is: 1. A method of calibrating an analyte monitoring device for use in measuring analyte amount or concentration in a biological system, and said method comprising determining a calibration ratio (CalRatio) value, wherein wherein BGcp is a blood glucose concentration at the cali

What is claimed is: 1. A method of calibrating an analyte monitoring device for use in measuring analyte amount or concentration in a biological system, and said method comprising determining a calibration ratio (CalRatio) value, wherein wherein BGcp is a blood glucose concentration at the calibration point, activecp is an active signal that corresponds to an electrochemical sensor signal at the calibration point, and offset was a constant value; providing two or more ranges of CalRatio values; identifying a range in which said determined CalRatio value falls; employing an algorithm to predict further measurement values, the algorithm selected from one of a first algorithm and a second algorithm, the first algorithm comprising: description="In-line Formulae" end="lead"BG=w1BG1+w2 BG2+w3BG3description="In-line Formulae" end="tail" where description="In-line Formulae" end="lead"BG1=p1(time)+q1 (active)+r1(signal)+s1(BG|cp)+ t1description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"BG2=p2(time)+q2 (active)+r2(signal)+s2(BG|cp)+ t2description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"BG3=p3(time)+q3 (active)+r3(signal)+s3(BG|cp)+ t3description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"d1τ1(time)+β1 (active)+γ1(signal)+δ1(BG|cp) +ε1description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"d2τ2(time)+β2 (active)+γ2(signal)+δ2(BG|cp) +ε2description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"d3τ3(time)+β3 (active)+γ3(signal)+δ3(BG|cp) +ε3description="In-line Formulae" end="tail" in which BGi is the analyte predicted, BG/cp is the blood glucose value at a calibration point, time is the elapsed time, ative is the active signal, signal being the calibrated signal, pi, qi, ri are coefficients, ti is a constant, e indicates an exponential function, di is a parameter set usable to determine weightings wi, with τi, βi, γi, δi, and εi are constants, and the second equation comprising: description="In-line Formulae" end="lead"BG=w1BG1+w2 BG2+w3BG3description="In-line Formulae" end="tail" where description="In-line Formulae" end="lead"BG1=p1(timec)+q 1(active)+r1(signal)+s1( BG|cp)+t1description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"BG2=p2(timec)+q 2(active)+r2(signal)+s2( BG|cp)+t2description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"BG3=p3(timec)+q 3(active)+r3(signal)+s3( BG|cp)+t3description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"d1τ1(timec)+β1 (active)+γ1(signal)+δ1(BG|cp) +ε1description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"d2τ2(timec)+β2 (active)+γ2(signal)+δ2(BG|cp) +ε2description="In-line Formulae" end="tail" description="In-line Formulae" end="lead"d3τ3(timec)+β3 (active)+γ3(signal)+δ3(BG|cp) +ε3description="In-line Formulae" end="tail" in which BGi is the analyte predicted, timec is the elapsed time since calibration, active is the active signal, signal is the calibrated signal, BG/cp is the blood glucose value at a calibration point, pi, qi, ri are coefficients, ti is a constant, e indicates an exponential function, di is a parameter set usable to determine weightings wi, with τi, βi, γi, δi, and εi are constants, wherein each of said algorithms is optimized for performance in the identified range; and generating further measurement values indicative of amount or concentration of analyte present in the biological system, said generating comprising obtaining a raw signal specifically related to analyte amount or concentration in the biological system and using said algorithm to correlate the raw signal with a measurement value.