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

US9861746B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9861746-B2
Application numberUS-201313778559-A
CountryUS
Kind codeB2
Filing dateFeb 27, 2013
Priority dateJun 8, 2012
Publication dateJan 9, 2018
Grant dateJan 9, 2018

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

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

Opening claim text (preview).

What is claimed is: 1. A method for real-time detection of low start-up for a working electrode of a glucose sensor, the method comprising: inserting the sensor into subcutaneous tissue; periodically performing an electrochemical impedance spectroscopy (EIS) procedure to generate multiple sets of impedance-related data for said working electrode; calculating, by a microprocessor, for each of said multiple sets of impedance-related data, respective values of 1 kHz real impedance and Nyquist slope; monitoring and analyzing, by said microprocessor, said respective values of 1 kHz real impedance and Nyquist slope over time by comparing the 1 kHz real impedance and Nyquist slope to respective specified ranges for said real impedance and Nyquist slope; and based on said monitoring and analyzing, determining, by said microprocessor, whether said working electrode is experiencing low start-up, wherein use of said sensor for glucose measurement is delayed or sensor glucose values are blinded to a user of the sensor by the microprocessor based on the determination that the working electrode is experiencing low start-up. 2. The method of claim 1 , wherein said EIS procedure is perfouned for a predetermined range of frequencies. 3. The method of claim 1 , wherein each of said multiple sets of impedance-related data includes values for imaginary impedance. 4. The method of claim 1 , wherein the Nyquist slope is calculated at relatively-lower frequencies. 5. The method of claim 1 , wherein each of said multiple sets of impedance-related data includes values for at least one impedance-related parameter that is substantially glucose-independent. 6. The method of claim 1 , wherein said respective values of 1 kHz real impedance and Nyquist slope are substantially glucose-independent. 7. A method for real-time detection of low start-up for a plurality of working electrodes of a glucose sensor, the method comprising: inserting the sensor into subcutaneous tissue; periodically performing an electrochemical impedance spectroscopy (EIS) procedure for each of said plurality of working electrodes to generate respective multiple sets of impedance-related data for each of the plurality of working electrodes; calculating, by a microprocessor, for each of said multiple sets of impedance-related data, respective values of 1 kHz real impedance and Nyquist slope; monitoring and analyzing, by said microprocessor, said respective values of 1 kHz real impedance and Nyquist slope over time by comparing the respective values of 1 kHz real impedance and Nyquist slope amongst the plurality of working electrodes; based on said monitoring and analyzing, determining, by said microprocessor, whether at least one of said plurality of working electrodes is not experiencing low start-up; and identifying, by said microprocessor, said at least one of said plurality of working electrodes for use to measure glucose. 8. The method of claim 7 , wherein said EIS procedure is performed for a predetermined range of frequencies. 9. The method of claim 7 , wherein each of said multiple sets of impedance-related data includes values for imaginary impedance. 10. The method of claim 7 , wherein the Nyquist slope is calculated at relatively-lower frequencies. 11. The method of claim 7 , wherein each of said multiple sets of impedance-related data includes values for at least one impedance-related parameter that is substantially glucose-independent. 12. The method of claim 7 , wherein said respective values of 1 kHz real impedance and Nyquist slope are substantially glucose-independent.

Assignees

Inventors

Classifications

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

  • for measuring glucose, e.g. by tissue impedance measurement · CPC title

  • Arrangements of multiple sensors of the same type · CPC title

  • adapted to be carried by the patient, e.g. portable on the body · CPC title

  • specially adapted to be brought in contact with an internal body part, i.e. invasive · CPC title

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What does patent US9861746B2 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 A61M5/1723. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jan 09 2018 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).