Motion based estimation of biometric signals
US-2015342533-A1 · Dec 3, 2015 · US
US2017181671A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2017181671-A1 |
| Application number | US-201514980114-A |
| Country | US |
| Kind code | A1 |
| Filing date | Dec 28, 2015 |
| Priority date | Dec 28, 2015 |
| Publication date | Jun 29, 2017 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
An unscented Kalman filter is used to enable sensor calibration independently of the actual design of the subject sensors. By utilizing an unscented Kalman filter, an underlying calibration methodology is developed that is sensor-unspecific, such that a single calibration methodology and related systems may be used to calibrate various sensors, without the need to re-calculate a calibration factor for each specific sensor, and without the need to design a separate filtering mechanism to compensate for noise. In this way, various calibration inputs can be allowed to change over time without the need to change the codebase on which the calibration methodology otherwise operates. In multi-electrode systems, the methodology may incorporate a fusion algorithm to provide a single, fused sensor glucose value. The fusion algorithm may incorporate, and/or work in conjunction with, Electrochemical Impedance Spectroscopy (EIS) procedures.
Opening claim text (preview).
1 . A method for real-time calibration of a glucose sensor for measuring the level of glucose in a body of a user, said sensor including physical sensor electronics, a microcontroller, and a working electrode, the method comprising: measuring, by said physical sensor electronics, the electrode current (Isig) for the working electrode; obtaining a plurality of blood glucose (BG) values for said user, wherein said BG values include noise; applying, by said microcontroller, an unscented Kalman filter to said plurality of BG values and determining an estimated calibration factor (CF) value based on said Isig and BG values; and calculating, by said microcontroller, a calibrated sensor glucose (SG) value associated with said Isig based on said estimated CF value. 2 . The method of claim 1 , wherein said microcontroller further applies said unscented Kalman filter to compensate for said BG noise. 3 . The method of claim 1 , wherein said Isig includes noise, and said microcontroller further applies said unscented Kalman filter to compensate for said Isig noise. 4 . The method of claim 1 , wherein said estimated CF value is further determined based on an offset value that correlates said Isig, BG, and CF values. 5 . The method of claim 4 , wherein said offset value is unspecific to said sensor. 6 . The method of claim 5 , wherein said estimated CF value is unspecific to said sensor. 7 . The method of claim 1 , wherein the sensor includes a plurality of working electrodes. 8 . The method of claim 7 , further including calculating, for each of the plurality of working electrodes, a respective calibrated sensor glucose (SG) value based on said estimated CF value. 9 . The method of claim 8 , wherein said estimated CF value is unspecific to said sensor. 10 . The method of claim 8 , further including fusing the respective calibrated SG values for the plurality of working electrodes to calculate a single, fused sensor glucose value. 11 . The method of claim 10 , further including performing, by said microcontroller, respective electrochemical impedance spectroscopy (EIS) procedures for each of the plurality of working electrodes to obtain values of at least one impedance-based parameter for each said working electrode, and calculating said single, fused sensor glucose value based on said values of the at least one impedance-based parameter. 12 . The method of claim 7 , wherein the sensor electronics measure respective Isig values for each of the plurality of working electrodes, and the microcontroller applies said unscented Kalman filter to said plurality of BG and Isig values to determine said estimated calibration factor value based on said Isig and BG values. 13 . The method of claim 12 , further including performing, by said microcontroller, respective electrochemical impedance spectroscopy (EIS) procedures for each of the plurality of working electrodes to obtain values of at least one impedance-based parameter for each said working electrode, and calculating said single, fused sensor glucose value based on said values of the at least one impedance-based parameter. 14 . A program code storage device comprising: a computer-readable medium; and computer-readable program code, stored on the computer-readable medium, the computer-readable program code having instructions which, when executed, cause a physical microcontroller to perform a method for real-time calibration of a glucose sensor for measuring the level of glucose in a body of a user, said sensor including physical sensor electronics, said physical microcontroller, and a working electrode, by: obtaining, from said physical sensor electronics, the electrode current (Isig) for the working electrode; obtaining a plurality of blood glucose (BG) values for said user, wherein said BG values include noise; applying an unscented Kalman filter to said plurality of BG values and determining an estimated calibration factor (CF) value based on said Isig and BG values; and calculating a calibrated sensor glucose (SG) value associated with said Isig based on said estimated CF value. 15 . The device of claim 14 , wherein the computer-readable program code has instructions which, when executed, further cause the microcontroller to apply said unscented Kalman filter to compensate for said BG noise. 16 . The device of claim 14 , wherein said Isig includes noise, and the computer-readable program code has instructions which, when executed, further cause the microcontroller to apply said unscented Kalman filter to compensate for said Isig noise. 17 . The device of claim 14 , wherein said estimated CF value is further determined based on an offset value that correlates said Isig, BG, and CF values. 18 . The device of claim 17 , wherein said offset value is unspecific to said sensor. 19 . The device of claim 18 , wherein said estimated CF value is unspecific to said sensor. 20 . The device of claim 14 , wherein the sensor includes a plurality of working electrodes. 21 . The device of claim 20 , wherein the computer-readable program code has instructions which, when executed, further cause the microcontroller to calculate, for each of the plurality of working electrodes, a respective calibrated sensor glucose (SG) value based on said estimated CF value. 22 . The device of claim 21 , wherein said estimated CF value is unspecific to said sensor. 23 . The device of claim 21 , wherein the computer-readable program code has instructions which, when executed, further cause the microcontroller to fuse the respective calibrated SG values for the plurality of working electrodes to calculate a single, fused sensor glucose value. 24 . The device of claim 23 , wherein the computer-readable program code has instructions which, when executed, further cause the microcontroller to perform respective electrochemical impedance spectroscopy (EIS) procedures for each of the plurality of working electrodes to obtain values of at least one impedance-based parameter for each said working electrode, and to calculate said single, fused sensor glucose value based on said values of the at least one impedance-based parameter. 25 . The device of claim 20 , wherein the computer-readable program code has instructions which, when executed, further cause the microcontroller to obtain respective Isig values for each of the plurality of working electrodes and to apply said unscented Kalman filter to said plurality of BG and Isig values to determine said estimated calibration factor value based on said Isig and BG values. 26 . The device of claim 25 , wherein the computer-readable program code has instructions which, when executed, further cause the microcontroller to perform respective electrochemical impedance spectroscopy (EIS) procedures for each of the plurality of working electrodes to obtain values of at least one impedance-based parameter for each said working electrode, and to calculate said single, fused sensor glucose value based on said values of the at least one impedance-based parameter.
Measuring electrical impedance or conductance of a portion of the body · CPC title
for measuring glucose, e.g. by tissue impedance measurement · CPC title
Details of analogue processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation (input circuits for detecting, measuring, or recording bioelectric or biomagnetic signals A61B5/30; specific diagnostic methods using bioelectric or biomagnetic signals A61B5/316) · CPC title
Calibrating or testing of in-vivo probes · CPC title
for noise prevention, reduction or removal · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.