Systems and methods for detecting glucose level data patterns

Abstract

Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

What is claimed is: 
     
         1 . A method for alerting a user based on measurements of an analyte concentration, the method comprising:
 receiving data from at least one input, the data including measurements of an analyte concentration and time of day information;   analyzing the received data;   detecting a hypoglycemic event based on the data exceeding at least one predetermined threshold; and   displaying a trend graph of glucose measurements over time on a user interface, wherein the trend graph includes an indication of a hypoglycemic reoccurrence risk associated with a predetermined amount of time following the detected hypoglycemic event.   
     
     
         2 . The method of  claim 1 , wherein detecting the hypoglycemia event comprises determining an average distance and a time a segment of time the measured analyte concentration is below a predetermined analyte concentration level. 
     
     
         3 . The method of  claim 1 , wherein the method of claim C 1  is performed only when a user-selectable setting is turned on. 
     
     
         4 . The method of  claim 1 , wherein the predetermined amount of time is 48 hours. 
     
     
         5 . The method of  claim 1 , further comprising triggering an audible or visual alert using the user interface responsive to detecting the hypoglycemic event and detecting that a current rate of change of the analyte concentration exceeds a predetermined threshold. 
     
     
         6 . The method of  claim 1 , further comprising triggering an audible or visual alert using the user interface responsive to detecting the hypoglycemic event and detecting that the current analyte concentration is below a predetermined threshold. 
     
     
         7 . An analyte concentration pattern detection system configured to perform the process of  claim 1 , the system comprising a continuous analyte sensor to generate the analyte concentration measurements, computer memory to store the generated analyte concentration measurements, a processor module configured to perform the detecting, and a user interface configured to perform the displaying. 
     
     
         8 . The system of  claim 7 , further comprising instructions stored in the memory, wherein the instructions, when executed by the processor module, cause the processor module to perform the detecting.