SYSTEM AND METHODS FOR PROCESSING ANALYTE SENSOR DATA

• US 20110231140A1
• Filed: 05/31/2011
• Published: 09/22/2011
• Est. Priority Date: 08/01/2003
• Status: Abandoned Application

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Brauker, James H., Kamath, Apurv U., Goode, Paul V. JR.
• Application Number:
  US13/118,915
• Publication Number:
  US 20110231140A1
• Time in Patent Office: Days
• US Class Current: 702/104
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• 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

Abstract

Systems and methods for processing sensor analyte data, including initiating calibration, updating calibration, evaluating clinical acceptability of reference and sensor analyte data, and evaluating the quality of sensor calibration. During initial calibration, the analyte sensor data is evaluated over a period of time to determine stability of the sensor. The sensor may be calibrated using a calibration set of one or more matched sensor and reference analyte data pairs. The calibration may be updated after evaluating the calibration set for best calibration based on inclusion criteria with newly received reference analyte data. Fail-safe mechanisms are provided based on clinical acceptability of reference and analyte data and quality of sensor calibration. Algorithms provide for optimized prospective and retrospective analysis of estimated blood analyte data from an analyte sensor.

Claims

1. A method for calibrating an analyte sensor, the method comprising:

receiving sensor data from an analyte sensor, the sensor data comprising a plurality of sensor data points;

receiving a reference data point;

forming a matched data pair by comparing the reference data point with a median of the plurality of sensor data points or a mean of the plurality of sensor data points;

generating a conversion function based on the matched data pair; and

converting the sensor data into calibrated sensor data using the conversion function.

2. The method of claim 1, wherein the sensor data points are filtered sensor data points.

3. The method of claim 1, wherein the analyte sensor is a substantially continuous glucose sensor.

4. The method of claim 1, wherein the reference data point is obtained from an in vitro blood glucose test.

5. The method of claim 1, wherein the conversion function is based on one or more additional matched data pairs.

6. The method of claim 1, wherein a time stamp of each of the plurality of sensor data points is later than a time stamp of the reference data point.

7. A system for calibrating an analyte sensor, the system comprising:

a sensor data module configured to receive sensor data comprising one or more sensor data points;

a reference data module configured to receive a reference data point;

a processor module configured to form a matched data pair by comparing the reference data point with a median of the plurality of sensor data points or a mean of the plurality of sensor data points, and wherein the processor module is configured to calibrate the sensor data based on the matched data pair.

8. The system of claim 7, wherein the sensor data points are filtered sensor data points.

9. The system of claim 7, wherein the sensor data module is configured to receive the sensor data from a substantially continuous glucose sensor.

10. The system of claim 7, wherein the reference data module is configured to receive the reference data point from an in vitro blood glucose test.

11. The system of claim 7, wherein the processor module is configured to calibrate the sensor data based on one or more additional matched data pairs.

12. The system of claim 7, wherein a time stamp of each of the plurality of sensor data points is later than a time stamp of the reference data point.