Systems and methods for processing analyte sensor data

• US 10,588,557 B2
• Filed: 07/18/2016
• Issued: 03/17/2020
• Est. Priority Date: 03/16/2012
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Estes, Michael J., Vanslyke, Stephen J., Kamath, Apurv Ullas, Peyser, Thomas A., Bohnett, Lucas, Mahalingam, Aarthi, Garcia, Arturo, Simpson, Peter C., Davis, Anna Leigh, Bohm, Sebastian
• Primary Examiner(s): Breene, John E
• Assistant Examiner(s): Aiello, Jeffrey P
• Application Number:
  US15/213,259
• Publication Number:
  US 20160324450A1
• Time in Patent Office: 1,338 Days
• Field of Search: 600365, 702 19, 702 85, 702104
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2562/02 Details of sensors specially adapted for in-vivo measurements
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• CPC Class Codes: A61B 5/14503 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: G01D 3/022 having an ideal characteristic, map or correction data stored in a digital memory
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/67 for remote operation

Abstract

Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously, for example, by initializing a sensor, acquiring sensor data, using the sensor, to measure an analyte level in the host'"'"'s body over a first interval based on a first elapsed time since the sensor was implanted, determining whether the sensor has been previously used in a previous sensor session or the sensor is a new sensor, and upon determining the sensor is a new sensor, adjusting the acquired sensor data to compensate for sensor drift of the new sensor by applying a first set of time-dependent algorithmic functions to the sensor data associated with the first interval.

Claims

1. A method for processing sensor data from a continuous analyte monitoring system, comprising:

initializing a sensor of a continuous analyte monitoring system implanted within a body of a host user, the sensor in electrical communication with a sensor electronics of the continuous analyte monitoring system configured to receive and process sensor data by the sensor;

acquiring sensor data, using the sensor, to measure an analyte level in the host'"'"'s body over a first interval based on a first elapsed time since the sensor was implanted;

determining whether the sensor has been previously used in a previous sensor session or the sensor is a new sensor, wherein determining whether the sensor has been previously used comprises measuring a change in impedance of the sensor over a predetermined time period after implantation, and identifying that the measured change in impedance is substantially insignificant or levels off over at least a portion of the predetermined time period;

upon determining the sensor is a new sensor, adjusting the acquired sensor data to compensate for sensor drift of the new sensor by applying a first set of time-dependent algorithmic functions to the sensor data associated with the first interval, wherein the first set of time-dependent algorithmic functions comprise a first boundary of acceptability including a first drift rate of sensitivity over time and/or a first drift of baseline over time;

acquiring further sensor data, using the sensor, to measure the analyte level over a second interval based on a second elapsed time since the sensor was implanted and after the first interval; and

adjusting the acquired further sensor data by applying a second set of time-dependent algorithmic functions to the sensor data associated with the second interval, wherein the second set of time-dependent algorithmic functions comprise a second boundary of acceptability including a second drift rate of sensitivity over time and/or a second drift of baseline over time,

wherein the first and second set of time-dependent algorithmic functions comprise first and second drift compensation functions, and

wherein the first and second drift compensation functions differ in the amount of drift compensation that they apply.

2. The method of claim 1, wherein the first boundary delineates acceptable slopes and baselines of a conversion function and the second boundary delineates acceptable slopes and baselines of the conversion function.

3. The method of claim 1, wherein the first and second set of time-dependent algorithmic functions comprise first and second parameters associated with a conversion function.

4. The method of claim 1, wherein the applying the second set of time-dependent algorithmic functions to the sensor data associated with the second interval comprises dynamically applying a priori information based on time since sensor implantation.

5. The method of claim 1, wherein the applying the second set of time-dependent algorithmic functions to the sensor data associated with the second interval comprises dynamically adapting a parameter of the second set of time-dependent algorithmic functions based on a prior knowledge of time-based sensor behavior during implantation.