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AI Biotech/Diagnostics: General Diagnostics
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Application US20190076067
Published 2019-03-14
Methods, Systems, And Devices For Calibration And Optimization Of Glucose Sensors And Sensor Output
A continuous glucose monitoring system may utilize externally sourced information regarding the physiological state and ambient environment of its user for externally calibrating sensor glucose measurements. Externally sourced factory calibration information may be utilized, where the information is generated by comparing metrics obtained from the data used to generate the sensor's glucose sensing algorithm to similar data obtained from each batch of sensors to be used with the algorithm in the future. The output sensor glucose value of a glucose sensor may also be estimated by analytically optimizing input sensor signals to accurately correct for changes in sensitivity, run-in time, glucose current dips, and other variable sensor wear effects. Correction actors, fusion algorithms, EIS, and advanced ASICs may be used to implement the foregoing, thereby achieving the goal of improved accuracy and reliability without the need for blood-glucose calibration, and providing a calibration-free, or near calibration-free, sensor.
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- 1. A method for using factory calibration to correct for manufacturing batch variations in one or more sensor parameters 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:
periodically measuring, by the physical sensor electronics, electrode current (Isig) signal values for the working electrode; performing, by the microcontroller, an Electrochemical Impedance Spectroscopy (EIS) procedure to generate values of one or more EIS-related parameters for the working electrode; calculating, by the microcontroller, values of counter voltage (Vcntr) for the sensor; applying, by said microcontroller, a factory calibration factor to said Isig, EIS parameter, and Vcntr values to generate respective modified Isig, EIS parameter, and Vcntr values; based on the modified Isig, EIS parameter, and Vcntr values 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; fusing, by the microcontroller, the respective SG values to calculate a 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.
