Application US20190076070

METHODS, SYSTEMS, AND DEVICES FOR CALIBRATION AND OPTIMIZATION OF GLUCOSE SENSORS AND SENSOR OUTPUT
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US20190076070

1. A method of optimizing glucose sensor estimation for a glucose sensor used for measuring the level of glucose in the body of a user, said sensor including physical sensor electronics, a microcontroller, and a working electrode, the method comprising: (6) (6)

periodically measuring, by the physical sensor electronics, electrode current (Isig) signals for the working electrode;

performing, by the microcontroller, an Electrochemical Impedance Spectroscopy (EIS) procedure to generate EIS-related data for the working electrode;

calculating, by the microcontroller, an adjusted calibration factor for the sensor based on the EIS-related data;

calculating, by the microcontroller, an adjusted offset value for the sensor based on at least one of a stabilization time adjustment and a non-linear sensor response adjustment; and

calculating, by the microcontroller, an optimized measured glucose value (SG) based on the adjusted calibration factor and the adjusted offset value,

wherein SG=(adjusted calibration factor) x (Isig+adjusted offset value).

2. The method of claim 1, further including displaying the optimized measured glucose value to the user. (0)

3. The method of claim 1, wherein said adjusted calibration factor is calculated based on 128 Hz real impedance values. (0)

4. The method of claim 1, wherein said adjusted calibration factor is calculated based on at least one of a foreign body response, an oxygen response, a dip adjustment response, and a stabilization response for the sensor. (4) (0)

5. The method of claim 4, wherein said foreign body response is calculated as foreign body response=c₁×e^imag1000×c²+c₃, wherein imag1000 is the imaginary 1000 Hz frequency input, and c₁, c₂, and c₃are experimentally determined calibration coefficients. (1) (0)

7. The method of claim 4, wherein said oxygen response is calculated as oxygen response=c₁×Vcntr²+c₂×Vcntr+c₃, wherein Vcntr is the counter voltage input and c₁, c₂, and c₃are experimentally determined calibration coefficients. (1) (0)

9. The method of claim 4, wherein said dip adjustment response is calculated as dip adjustment=c₁×e^IsigTrend×c²+c₃, wherein IsigTrend is the long-term sensor current trend input and c₁, c₂and c₃are experimentally determined calibration coefficients. (2) (0)

12. The method of claim 4, wherein said stabilization response is calculated as stabilization response=c₁×Vcntr+c₂, where Vcntr is the counter voltage input and c₁and c₂are experimentally determined calibration coefficients. (1) (0)

14. The method of claim 1, wherein said adjusted calibration factor is calculated based on a foreign body response, an oxygen response, a dip adjustment response, and a stabilization response for the sensor. (0)

15. The method of claim 1, wherein said stabilization time adjustment for calculation of the adjusted offset value is calculated as stabilization time adjustment=c₁×e^age×c²+c₃, wherein age is the sensor age, and c₁, c₂and c₃are experimentally determined calibration coefficients. (2) (0)

18. The method of claim 1, said non-linear sensor response adjustment for calculation of the adjusted offset value is calculated as non-linear sensor response adjustment=c₁+(age×c₂+c₃)×Isig, wherein age is the sensor age, and c₁, c₂and c₃are experimentally determined calibration coefficients. (2) (0)

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Application US20190076070

METHODS, SYSTEMS, AND DEVICES FOR CALIBRATION AND OPTIMIZATION OF GLUCOSE SENSORS AND SENSOR OUTPUT

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