Adaptive zone model predictive control with a glucose and velocity dependent dynamic cost function for an artificial pancreas
US-12128212-B2 · Oct 29, 2024 · US
US9861746B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9861746-B2 |
| Application number | US-201313778559-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 27, 2013 |
| Priority date | Jun 8, 2012 |
| Publication date | Jan 9, 2018 |
| Grant date | Jan 9, 2018 |
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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.
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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.
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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