Use of electrochemical impedance spectroscopy (EIS) in intelligent diagnostics
First Claim
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1. A method of differentiating between a first glucose sensor and a second glucose sensor, said first glucose sensor having a configuration that is different from said second glucose sensor, the method comprising:
- performing a respective electrochemical impedance spectroscopy (EIS) procedure for each of said first and second glucose sensors;
generating, by a microprocessor, a respective Nyquist plot based on the output of each said respective EIS procedure;
based on said respective Nyquist plots, identifying, by said microprocessor, each of said first glucose sensor and said second glucose sensor;
based on said identification, selecting, by said microprocessor, a first one of a variety of initialization sequences to be applied to said first glucose sensor and a second one of said variety of initialization sequences to be applied to said second glucose sensor; and
applying said first one of said variety of initialization sequences to said first glucose sensor and applying said second one of said variety of initialization sequences to said second glucose sensor, wherein said identification is made based on the lower-frequency Nyquist slope length.
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Abstract
Electrochemical Impedance Spectroscopy (EIS) is used in conjunction with continuous glucose monitors and continuous glucose monitoring (CGM) to enable in-vivo sensor calibration, gross (sensor) failure analysis, and intelligent sensor diagnostics and fault detection. An equivalent circuit model is defined, and circuit elements are used to characterize sensor behavior.
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Citations
2 Claims
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1. A method of differentiating between a first glucose sensor and a second glucose sensor, said first glucose sensor having a configuration that is different from said second glucose sensor, the method comprising:
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performing a respective electrochemical impedance spectroscopy (EIS) procedure for each of said first and second glucose sensors; generating, by a microprocessor, a respective Nyquist plot based on the output of each said respective EIS procedure; based on said respective Nyquist plots, identifying, by said microprocessor, each of said first glucose sensor and said second glucose sensor; based on said identification, selecting, by said microprocessor, a first one of a variety of initialization sequences to be applied to said first glucose sensor and a second one of said variety of initialization sequences to be applied to said second glucose sensor; and applying said first one of said variety of initialization sequences to said first glucose sensor and applying said second one of said variety of initialization sequences to said second glucose sensor, wherein said identification is made based on the lower-frequency Nyquist slope length. - View Dependent Claims (2)
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