Analyte monitoring system and methods of use
First Claim
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1. A method for monitoring an analyte using an analyte monitoring system, comprising:
 monitoring a data stream including a set of contiguous source data points related to analyte concentration;
providing one or more sets of maximum lag corrected signals from the set of contiguous source data points, wherein each set of maximum lag corrected signals is generated utilizing correction terms based on time derivative estimates and historical source data points, and wherein parameters for the maximum lag correction minimize the correlation between an expected glucose error and time derivative estimates and minimize the correlation between the expected glucose error and a predetermined array of historical source data points;
providing a first one or more sets of maximum smoothed signals from the set of contiguous source data points, wherein each set of maximum smoothed signals is generated utilizing a first smoothing algorithm;
providing a second one or more sets of maximum smoothed signals from the set of contiguous source data points, wherein each of the second set of maximum smoothed signals is generated utilizing a second smoothing algorithm;
determining analyte concentration utilizing a weighted combination of the one or more sets of maximum lag corrected signals and the first and second one or more sets of maximum smoothed signals, wherein more weight is placed on the one or more sets of maximum lag corrected signals to determine the analyte concentration;
determining a rate of change in the analyte concentration utilizing a weighted combination of the one or more sets of maximum lag corrected signals and the first and second one or more sets of maximum smoothed signals, where more weight is placed on the first and second one or more sets of maximum smoothed signals to determine the rate of change; and
controlling administration of therapy based on the determined analyte concentration.
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Abstract
The present disclosure provides methods of processing data provided by a transcutaneous or subcutaneous analyte sensor utilizing different algorithms to strike a balance between signal responsiveness accompanied by signal noise and the introduction of error associated with that noise. The methods utilize the strengths of a lag correction algorithm and a smoothing algorithm to optimize the quality and value of the resulting data (glucose concentrations and the rates of change in glucose concentrations) to a continuous glucose monitoring system. Also provided are systems and kits.
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3 Claims

1. A method for monitoring an analyte using an analyte monitoring system, comprising:

monitoring a data stream including a set of contiguous source data points related to analyte concentration; providing one or more sets of maximum lag corrected signals from the set of contiguous source data points, wherein each set of maximum lag corrected signals is generated utilizing correction terms based on time derivative estimates and historical source data points, and wherein parameters for the maximum lag correction minimize the correlation between an expected glucose error and time derivative estimates and minimize the correlation between the expected glucose error and a predetermined array of historical source data points; providing a first one or more sets of maximum smoothed signals from the set of contiguous source data points, wherein each set of maximum smoothed signals is generated utilizing a first smoothing algorithm; providing a second one or more sets of maximum smoothed signals from the set of contiguous source data points, wherein each of the second set of maximum smoothed signals is generated utilizing a second smoothing algorithm; determining analyte concentration utilizing a weighted combination of the one or more sets of maximum lag corrected signals and the first and second one or more sets of maximum smoothed signals, wherein more weight is placed on the one or more sets of maximum lag corrected signals to determine the analyte concentration; determining a rate of change in the analyte concentration utilizing a weighted combination of the one or more sets of maximum lag corrected signals and the first and second one or more sets of maximum smoothed signals, where more weight is placed on the first and second one or more sets of maximum smoothed signals to determine the rate of change; and controlling administration of therapy based on the determined analyte concentration.  View Dependent Claims (2, 3)

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