Signal processing for continuous analyte sensors

Abstract

Systems and methods for dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

What is claimed is: 
     
         1 . An analyte monitoring system, the system comprising:
 an analyte sensor configured to generate sensor data;   a processor module configured to:
 receive the sensor data; 
 receive reference data generated by a reference analyte monitor; 
 determine a time lag between the sensor data and the reference data; 
 match one or more sensor data points of the sensor data with one or more data points of the reference data based on the determined time lag; and 
 calibrate at least some of the sensor data using the matched data; and 
   an output module configured to output information representative of the calibrated sensor data.