Application of electrochemical impedance spectroscopy in sensor systems, devices, and related methods

US9625415B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9625415-B2
Application numberUS-201615154560-A
CountryUS
Kind codeB2
Filing dateMay 13, 2016
Priority dateJun 8, 2012
Publication dateApr 18, 2017
Grant dateApr 18, 2017

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Abstract

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A diagnostic Electrochemical Impedance Spectroscopy (EIS) procedure is applied to measure values of impedance-related parameters for one or more sensing electrodes. The parameters may include real impedance, imaginary impedance, impedance magnitude, and/or phase angle. The measured values of the impedance-related parameters are then used in performing sensor diagnostics, calculating a highly-reliable fused sensor glucose value based on signals from a plurality of redundant sensing electrodes, calibrating sensors, detecting interferents within close proximity of one or more sensing electrodes, and testing surface area characteristics of electroplated electrodes. Advantageously, impedance-related parameters can be defined that are substantially glucose-independent over specific ranges of frequencies. An Application Specific Integrated Circuit (ASIC) enables implementation of the EIS-based diagnostics, fusion algorithms, and other processes based on measurement of EIS-based parameters.

First claim

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What is claimed is: 1. A method of calculating a single, fused sensor glucose value based on respective glucose measurement signals of a plurality of redundant sensing electrodes, comprising: performing respective electrochemical impedance spectroscopy (EIS) procedures for each of the plurality of redundant sensing electrodes to obtain values of at least one impedance-based parameter for each said sensing electrode; measuring the electrode current (Isig) for each of the plurality of redundant sensing electrodes; calibrating each of the measured Isigs to obtain respective calibrated sensor glucose values; calculating a bound-check reliability index and a noise-check reliability index for each said sensing electrode based on said measured Isig and said values of the at least one impedance-based parameter; calculating a dip reliability index for each said sensing electrode based on one or more of said at least one impedance-based parameter; calculating a sensitivity-loss reliability index for each said sensing electrode based on one or more of said at least one impedance-based parameter; and calculating said single, fused sensor glucose value based on the respective bound-check reliability index, noise-check reliability index, dip reliability index, sensitivity-loss reliability index and calibrated sensor glucose values of each of the plurality of redundant sensing electrodes. 2. The method of claim 1 , wherein said at least one impedance-based parameter includes at least one of real impedance, imaginary impedance, and Nyquist slope. 3. The method of claim 1 , wherein said at least one impedance-based parameter is 1 kHz real impedance. 4. The method of claim 3 , wherein calculation of said bound check reliability index and said noise check reliability index include determining whether each said measured Isig and said values of the 1 kHz real impedance fall within respective predetermined ranges for said bound check and noise check. 5. The method of claim 4 , wherein said predetermined range for the 1 kHz real impedance bound check is between 0.3 e+4 and 2 e+4. 6. The method of claim 1 , wherein said at least one impedance-based parameter is imaginary impedance. 7. The method of claim 6 , wherein said imaginary impedance is measured at about 1 kHz over a period of time. 8. The method of claim 7 , wherein calculation of said bound check reliability index and said noise check reliability index include determining whether said values of the 1 kHz imaginary impedance fall within respective predetermined ranges for said bound check and noise check. 9. The method of claim 8 , wherein said predetermined range for the 1 kHz imaginary impedance bound check is between −2 e+3 and zero. 10. The method of claim 1 , wherein each said Isig is calibrated by using a blood glucose (BG) value. 11. The method of claim 1 , wherein, prior to calibrating the measured Isigs, said Isigs are first filtered to remove any EIS-induced spikes therein. 12. The method of claim 1 , wherein a low-pass filter is applied to the said single, fused sensor glucose value. 13. The method of claim 1 , wherein each said respective EIS procedure is performed for a range of frequencies. 14. The method of claim 1 , wherein one or more of the at least one impedance-based parameter are substantially glucose-independent. 15. The method of claim 1 , wherein calculation of said dip reliability index is additionally based on the measured Isig for each said electrode. 16. The method of claim 1 , further including calculating, for each of the plurality of electrodes, a weight based on said electrode's bound-check reliability index, noise-check reliability index, dip reliability index, sensitivity-loss reliability index. 17. The method of claim 16 , said single, fused sensor glucose value is calculated based on the respective weights and calibrated sensor glucose values of each of the plurality of redundant sensing electrodes.

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Classifications

  • the body parameters being measured at, or proximate to, the infusion site · CPC title

  • invasively, e.g. using a catheter · CPC title

  • involving blood or serum control standard · CPC title

  • specially adapted for implantation · CPC title

  • invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors · CPC title

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What does patent US9625415B2 cover?
A diagnostic Electrochemical Impedance Spectroscopy (EIS) procedure is applied to measure values of impedance-related parameters for one or more sensing electrodes. The parameters may include real impedance, imaginary impedance, impedance magnitude, and/or phase angle. The measured values of the impedance-related parameters are then used in performing sensor diagnostics, calculating a highly-re…
Who is the assignee on this patent?
Medtronic Minimed Inc
What technology area does this patent fall under?
Primary CPC classification A61B5/7221. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Apr 18 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).