Analyte level calibration using baseline analyte level

Abstract

Methods, computers, and systems used to improve accuracy of analyte level measurement of an in vivo positioned analyte sensor are disclosed herein. The methods, computers, and systems disclosed herein may be used to provide a calibrated analyte level. Specific embodiments relate to methods, computers, and systems for improving accuracy of glucose measurement of an in vivo positioned glucose sensor.

1 . A system for improving accuracy of analyte level measurement of an in vivo positioned lactate sensor, the system comprising:
 an input configured to receive streaming lactate data from a sensor control device;   a memory and a processor, the memory operably coupled to the processor, wherein the memory has a plurality of instructions stored thereon that, when executed, cause the processor to:
 analyze signal data collected from an in vivo positioned lactate sensor over a period of time from a subject, wherein the signal data is indicative of lactate levels; 
 identify signal data points that occur most frequently within the collected signal data and correspond to a known physiological level for the lactate, wherein the identified signal data points are from the signal data collected from the in vivo positioned lactate sensor; 
 calculate a calibration factor from the identified signal data points and the known physiological level; and 
 derive lactate levels from the collected signal data using the calibration factor. 
   
     
     
         2 . The system of  claim 1 , wherein the plurality of instructions, when executed, cause the processor to identify the signal data collected by the sensor at a specified period of time of the day. 
     
     
         3 . The system of  claim 1 , wherein the known physiological level is a normal physiological level. 
     
     
         4 . The system of  claim 1 , wherein the period of time is at least two days. 
     
     
         5 . The system of  claim 1 , wherein the period of time is at least one week. 
     
     
         6 . The system of  claim 1 , wherein the period of time is at least two weeks. 
     
     
         7 . The system of  claim 1 , wherein the collected signal data is selected from the group consisting of voltage, current, resistance, capacitance, charge, conductivity, or a combination thereof. 
     
     
         8 . The system of  claim 1 , wherein the plurality of instructions, when executed, cause the processor to:
 analyze a subset of the collected signal data corresponding to a subset of the period of time; and   identify signal data points that occur most frequently within the subset of collected data.   
     
     
         9 . A system for improving accuracy of analyte level measurement of an in vivo positioned ketone body sensor, the system comprising:
 an input configured to receive streaming ketone body data from a sensor control device;   a memory and a processor, the memory operably coupled to the processor, wherein the memory has a plurality of instructions stored thereon that, when executed, cause the processor to:
 analyze signal data collected from an in vivo positioned ketone body sensor over a period of time from a subject, wherein the signal data is indicative of ketone body levels; 
 identify signal data points that occur most frequently within the collected signal data and correspond to a known physiological level for the ketone body, wherein the identified signal data points are from the signal data collected from the in vivo positioned ketone body sensor; 
 calculate a calibration factor from the identified signal data points and the known physiological level; and 
 derive ketone body levels from the collected signal data using the calibration factor. 
   
     
     
         10 . The system of  claim 1 , wherein the ketone body is β-hydroxybutyrate. 
     
     
         11 . The system of  claim 1 , wherein the plurality of instructions, when executed, cause the processor to identify the signal data collected by the sensor at a specified period of time of the day. 
     
     
         12 . The system of  claim 1 , wherein the known physiological level is a normal physiological level. 
     
     
         13 . The system of  claim 1 , wherein the period of time is at least two days. 
     
     
         14 . The system of  claim 1 , wherein the period of time is at least one week. 
     
     
         15 . The system of  claim 1 , wherein the period of time is at least two weeks. 
     
     
         16 . The system of  claim 1 , wherein the collected signal data is selected from the group consisting of voltage, current, resistance, capacitance, charge, conductivity, or a combination thereof. 
     
     
         17 . The system of  claim 1 , wherein the plurality of instructions, when executed, cause the processor to:
 analyze a subset of the collected signal data corresponding to a subset of the period of time; and   identify signal data points that occur most frequently within the subset of collected data.