APPLICATION OF ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY IN SENSOR SYSTEMS, DEVICES, AND RELATED METHODS
First Claim
1. A method of performing real-time sensor diagnostics on a subcutaneous or implanted sensor of a sensor system, said sensor including at least one working electrode and said sensor system including a microprocessor that is operatively connected to said sensor, the method comprising:
- (a) periodically performing an electrochemical impedance spectroscopy (EIS) procedure to generate multiple sets of impedance-related data for said at least one working electrode;
(b) calculating, by said microprocessor, respective values of a plurality of impedance-related parameters based on said multiple sets of impedance-related data, said plurality of parameters including impedance, phase angle, and Nyquist slope; and
(c) based on said respective values, determining, by said microprocessor, whether the sensor is functioning normally, wherein the microprocessor;
(i) performs a first test based on values of real impedance or phase angle;
(ii) performs a second test based on values of respective frequencies at which successive EIS procedures are performed;
(iii) performs a third test based on a comparison of current and post-sensor initialization impedance values at 1 kHz;
(iv) performs a fourth test based on the value of post-sensor initialization impedance at 0.1 Hz;
(v) performs a fifth test based on the global change in the value of Nyquist slope between 0.1 Hz and 1 Hz;
(vi) performs a sixth test based on the change, over time, in the magnitude of real impedance; and
(vii) determines that the sensor is functioning normally if at least 3 of said first through sixth tests are satisfied by generating results that fall within respective predetermined criteria.
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Abstract
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.
1 Citation
22 Claims
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1. A method of performing real-time sensor diagnostics on a subcutaneous or implanted sensor of a sensor system, said sensor including at least one working electrode and said sensor system including a microprocessor that is operatively connected to said sensor, the method comprising:
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(a) periodically performing an electrochemical impedance spectroscopy (EIS) procedure to generate multiple sets of impedance-related data for said at least one working electrode; (b) calculating, by said microprocessor, respective values of a plurality of impedance-related parameters based on said multiple sets of impedance-related data, said plurality of parameters including impedance, phase angle, and Nyquist slope; and (c) based on said respective values, determining, by said microprocessor, whether the sensor is functioning normally, wherein the microprocessor; (i) performs a first test based on values of real impedance or phase angle; (ii) performs a second test based on values of respective frequencies at which successive EIS procedures are performed; (iii) performs a third test based on a comparison of current and post-sensor initialization impedance values at 1 kHz; (iv) performs a fourth test based on the value of post-sensor initialization impedance at 0.1 Hz; (v) performs a fifth test based on the global change in the value of Nyquist slope between 0.1 Hz and 1 Hz; (vi) performs a sixth test based on the change, over time, in the magnitude of real impedance; and (vii) determines that the sensor is functioning normally if at least 3 of said first through sixth tests are satisfied by generating results that fall within respective predetermined criteria. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method of performing real-time sensor diagnostics on a subcutaneous or implanted sensor of a sensor system, said sensor including at least one working electrode and said sensor system including a microprocessor that is operatively connected to said sensor, the method comprising:
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(a) periodically performing an electrochemical impedance spectroscopy (EIS) procedure to generate multiple sets of impedance-related data for said at least one working electrode; (b) calculating, by said microprocessor, respective values of a plurality of impedance-related parameters based on said multiple sets of impedance-related data, said plurality of parameters including impedance, phase angle, and Nyquist slope; and (c) based on said respective values, determining, by said microprocessor, whether the sensor is functioning normally, wherein the microprocessor; (i) performs a first test based on values of real impedance or phase angle; (ii) performs a second test based on values of sensor current (Isig) and impedance magnitude at 1 kHz; (iii) performs a third test based on the global change in the value of Nyquist slope between 0.1 Hz and 1 Hz; (iv) performs a fourth test based on the values of phase angle and impedance magnitude at 0.1 Hz; (v) performs a fifth test based on values of impedance magnitude and Isig; (vi) performs a sixth test based on values of Isig, phase angle, and imaginary impedance; (vii) performs a seventh test based on values of Isig and imaginary impedance at 0.1 Hz; and (viii) determines that the sensor is functioning normally if at least 4 of said first through seventh tests are satisfied by generating results that fall within respective predetermined criteria. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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Specification