Application US20190076066

METHODS, SYSTEMS, AND DEVICES FOR CALIBRATION AND OPTIMIZATION OF GLUCOSE SENSORS AND SENSOR OUTPUT
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US20190076066

1. A method for external calibration of 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: (7) (9)

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;

based on the Isig signals and EIS-related data and a plurality of calibration-free sensor glucose (SG)-predictive models, calculating, by the microcontroller, a respective SG value for each of the SG-predictive models;

calculating, by said microcontroller, a modification factor based on respective values of a physiological calibration factor (PCF), an environmental calibration factor (ECF), or both, and determining, by said microcontroller, whether said calculated modification factor is valid;

when the modification factor is valid, calculating, by the microcontroller, a calibrated respective SG value for each of the SG-predictive models based on said modification factor and said respective SG values;

fusing, by the microcontroller, the calibrated respective SG values to calculate a single, calibrated, fused SG value;

performing, by the microcontroller, error detection diagnostics on said calibrated, fused SG value to determine whether a correctable error exists in the calibrated, fused, SG value;

correcting, by the microcontroller, said correctable error; and

displaying a corrected, calibrated, fused SG value to the user.

2. The method of claim 1, wherein, when it is determined that an error in the calibrated, fused SG value is not correctable, the calibrated, fused SG value is blanked to the user. (0)

3. The method of claim 1, wherein said plurality of calibration-free SG-predictive models include at least two of a genetic programming model, an analytical model, a bag of trees model, and a decision tree model. (0)

4. The method of claim 1, wherein said plurality of calibration-free SG-predictive models include a genetic programming model, an analytical model, a bag of trees model, and a decision tree model. (0)

5. The method of claim 1, wherein said modification factor is calculated by fusing said respective values of the physiological calibration factor and the environmental calibration factor. (0)

6. The method of claim 1, wherein said physiological calibration factor is calculated based on one or more external physiological measurements. (1) (0)

8. The method of claim 1, wherein said environmental calibration factor is calculated based on one or more environmental measurements. (1) (0)

10. The method of claim 1, wherein said modification factor is calculated in real time. (0)

11. A method for external calibration of 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: (7) (9)

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;

fusing, by the microcontroller, the respective SG values to calculate a single, fused SG value;

when the modification factor is valid, calculating, by the microcontroller, a single, calibrated, fused SG value based on said modification factor and said single, fused SG value;

performing, by the microcontroller, error detection diagnostics on said calibrated, fused SG value to determine whether a correctable error exists in the calibrated, fused, SG value;

correcting, by the microcontroller, said correctable error; and

displaying a corrected, calibrated, fused SG value to the user.

12. The method of claim 11, wherein, when it is determined that an error in the calibrated, fused SG value is not correctable, the calibrated, fused SG value is blanked to the user. (0)

13. The method of claim 11, wherein said plurality of calibration-free SG-predictive models include at least two of a genetic programming model, an analytical model, a bag of trees model, and a decision tree model. (0)

14. The method of claim 11, wherein said plurality of calibration-free SG-predictive models include a genetic programming model, an analytical model, a bag of trees model, and a decision tree model. (0)

15. The method of claim 11, wherein said modification factor is calculated by fusing said respective values of the physiological calibration factor and the environmental calibration factor. (0)

16. The method of claim 11, wherein said physiological calibration factor is calculated based on one or more external physiological measurements. (1) (0)

18. The method of claim 11, wherein said environmental calibration factor is calculated based on one or more environmental measurements. (1) (0)

20. The method of claim 11, further comprising applying, by the microcontroller, a filter to the single, fused SG value prior to calculating said single, calibrated, fused SG value. (0)

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Application US20190076066

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

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