Analyte monitoring system and methods of use

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.

What is claimed is: 
     
         1 . A method for monitoring an analyte using an analyte monitoring system including a data processing device and a drug delivery device, comprising:
 generating, using the data processing device of the analyte monitoring system, one or more first data points from a plurality of data points related to the analyte;   generating, using the data processing device of the analyte monitoring system, one or more second data points from the plurality of data points related to the analyte;   determining, using the data processing device of the analyte monitoring system, an analyte concentration based on a first weighted combination, wherein the first weighted combination comprises the one or more first data points and the one or more second data points with more weight placed on the one or more first data points than the one or more second data points; and   delivering, using the drug delivery device of the analyte monitoring system, a drug based on the determined analyte concentration.   
     
     
         2 . The method of  claim 1 , wherein generating the one or more first data points from the plurality of data points related to the analyte comprises applying a first algorithm to the plurality of data points related to the analyte, and wherein generating the one or more second data points from the plurality of data points related to the analyte comprises applying a second algorithm to the plurality of data points related to the analyte. 
     
     
         3 . The method of  claim 2 , wherein the first algorithm is a lag correction algorithm and the second algorithm is a smoothing algorithm. 
     
     
         4 . The method of  claim 1 , further comprising:
 generating, using the data processing device of the analyte monitoring system, one or more third data points from the plurality of data points related to the analyte.   
     
     
         5 . The method of  claim 4 , wherein the first weighted combination comprises the one or more first data points, the one or more second data points, and the one or more third data points with more weight placed on the one or more first data points than the one or more second data points and the one or more third data points. 
     
     
         6 . The method of  claim 5 , wherein generating the one or more first data points from the plurality of data points related to the analyte comprises applying a first algorithm to the plurality of data points related to the analyte, wherein generating the one or more second data points from the plurality of data points related to the analyte comprises applying a second algorithm to the plurality of data points related to the analyte, and wherein generating the one or more third data points from the plurality of data points related to the analyte comprises applying a third algorithm to the plurality of data points related to the analyte. 
     
     
         7 . The method of  claim 6 , wherein the first algorithm is a lag correction algorithm, the second algorithm is a first smoothing algorithm, and the third algorithm is a second smoothing algorithm. 
     
     
         8 . The method of  claim 7 , wherein the first smoothing algorithm and the second smoothing algorithm are different. 
     
     
         9 . The method of  claim 1 , further comprising:
 determining, using the data processing device of the analyte monitoring system, a rate of change in the analyte concentration based on a second weighted combination, wherein the second weighted combination comprises the one or more first data points and the one or more second data points with more weight placed on the one or more second data points than the one or more first data points.   
     
     
         10 . The method of  claim 1 , further comprising averaging the one or more first data points and the one or more second data points. 
     
     
         11 . The method of  claim 1 , further comprising:
 receiving the plurality of data points related to the analyte from an analyte sensor.   
     
     
         12 . The method of  claim 11 , wherein the analyte sensor includes a plurality of electrodes including a working electrode comprising an analyte-responsive enzyme. 
     
     
         13 . The method of  claim 12 , wherein the enzyme is bound to a polymer disposed on the working electrode. 
     
     
         14 . The method of  claim 12 , wherein the working electrode comprises a mediator. 
     
     
         15 . The method of  claim 14 , wherein the mediator is bound to a polymer disposed on the working electrode. 
     
     
         16 . The method of  claim 14 , wherein the mediator is crosslinked with a polymer disposed on the working electrode. 
     
     
         17 . The method of  claim 11 , wherein the analyte sensor includes a plurality of electrodes including a working electrode comprising a mediator. 
     
     
         18 . The method of  claim 17 , wherein the mediator is bound to a polymer disposed on the working electrode, or wherein the mediator is crosslinked with the polymer disposed on the working electrode. 
     
     
         19 . A system, comprising:
 an analyte sensor configured to generate a plurality of data points related to a concentration of an analyte;   a data processing device operatively coupled to the analyte sensor, wherein the data processing device is configured to:
 generate one or more first data points from the plurality of data points related to the analyte; 
 generate one or more second data points from the plurality of data points related to the analyte; and 
 determine an analyte concentration based on a weighted combination, wherein the weighted combination comprises the one or more first data points and the one or more second data points with more weight placed on the one or more first data points than the one or more second data point; and 
   a drug delivery device configured to deliver a drug based on the determined analyte concentration.   
     
     
         20 . A method for monitoring an analyte using an analyte monitoring system including a data processing device and a drug delivery device, comprising:
 generating, using the data processing device of the analyte monitoring system, one or more first data points from a plurality of data points related to the analyte;   generating, using the data processing device of the analyte monitoring system, one or more second data points from the plurality of data points related to the analyte;   determining, using the data processing device of the analyte monitoring system, a rate of change in an analyte concentration based on a weighted combination, wherein the weighted combination comprises the one or more first data points and the one or more second data points with more weight placed on the one or more first data points than the one or more second data points; and   delivering, using the drug delivery device of the analyte monitoring system, a drug based on the determined rate of change in the analyte concentration.