Systems and methods for replacing signal artifacts in a glucose sensor data stream

• US 9,247,901 B2
• Filed: 08/02/2006
• Issued: 02/02/2016
• Est. Priority Date: 08/22/2003
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Kamath, Apurv, Brauker, James H., Mahalingam, Aarthi, Li, Ying
• Primary Examiner(s): Natnithithadha, Navin
• Assistant Examiner(s): JANG, CHRISTIAN YONGKYUN
• Application Number:
  US11/498,410
• Publication Number:
  US 20070032706A1
• Time in Patent Office: 3,471 Days
• Field of Search: 600/345, 600/347, 600/365
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0252 using ambient temperature
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence
• CPC Class Codes: A61B 5/14865 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors
• CPC Class Codes: A61B 5/6848 Needles
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7225 Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

Systems and methods for minimizing or eliminating transient non-glucose related signal noise due to non-glucose rate limiting phenomenon such as interfering species, ischemia, pH changes, temperatures changes, known or unknown sources of mechanical, electrical and/or biochemical noise, and the like. The system monitors a data stream from a glucose sensor and detects signal artifacts that have higher amplitude than electronic or diffusion-related system noise. The system processes some or the entire data stream continually or intermittently based at least in part on whether the signal artifact event has occurred.

Claims

1. A method for processing sensor data from a continuous glucose sensor, the method comprising:

receiving continuous glucose sensor data, the continuous glucose sensor data comprising a plurality of sensor data points;

measuring, using a signal reliability module, a reliability of the continuous glucose sensor data, whereby a level of reliability is obtained;

outputting to a medicament administration device, using an output module, the continuous glucose sensor data and an indication of the level of reliability of the continuous glucose sensor data, wherein the indication comprises is one or more of a numerical value and a rating in terms of a percentage; and

administering, using the medicament administration device, medicament to a patient based on the indication of reliability.

2. The method of claim 1, further comprising displaying a representation of the continuous glucose sensor data and the indication of the level of reliability of the continuous glucose sensor data on a hand held receiver unit, wherein the representation comprises a lower resolution representation of the continuous glucose sensor data when the level of reliability meets a predetermined criterion than when the level of reliability does not meet the predetermined criterion.

3. The method of claim 1, wherein measuring a reliability comprises detecting a level of signal artifact associated with the sensor data.

4. The method of claim 1, wherein the obtaining the level of reliability comprises selecting the level of reliability from a plurality of possible predetermined reliability levels.

5. The method of claim 1, wherein the level of reliability is the numerical value.

6. The method of claim 1, wherein the level of reliability is the rating in terms of a percentage.

7. The method of claim 1, wherein the receiving comprises outputting the continuous glucose sensor data from an electrode of a continuous glucose sensor.

8. A method for processing sensor data from a continuous glucose sensor, the method comprising:

receiving continuous glucose sensor data from an electrode of a continuous glucose sensor, the continuous glucose sensor data comprising a plurality of sensor data points;

measuring, using an electronic system, a reliability of the continuous glucose sensor data, whereby a level of reliability is obtained;

administering, using a medicament delivery device, a medicament to a patient based on the continuous glucose sensor data applied to a first filter when the level of reliability meets a first predetermined criterion and a representation of the continuous glucose sensor data applied to a second filter when the level of reliability meets a second predetermined criterion, wherein the first filter and the second filter are different,

wherein, when the continuous glucose sensor data is applied to the first filter and separately to the second filter, the first filter and second filter both modifies the continuous glucose sensor data to make the continuous glucose sensor data smoother and more continuous, or removes or diminishes outlying data points of the continuous glucose sensor data.

9. A method for processing sensor data from a continuous glucose sensor, the method comprising:

receiving continuous glucose sensor data, the continuous glucose sensor data comprising a plurality of sensor data points;

measuring, using an electronic system, a reliability of the continuous glucose sensor data;

generating, using the electronic system, a reliability metric, the reliability metric comprising one or more of a numerical value and a rating in terms of a percentage indicative of the measured reliability; and

administering, using a medicament delivery device, a medicament to a patient based on a rate of change of the continuous glucose sensor data responsive to the reliability metric meeting a predetermined criterion.

10. The method of claim 9, wherein the receiving comprises outputting the continuous glucose sensor data from an electrode of a continuous glucose sensor.

11. A method for processing sensor data from a continuous glucose sensor, the method comprising:

receiving continuous glucose sensor data, the continuous glucose sensor data comprising a plurality of sensor data points;

measuring, using an electronic system, a reliability of the continuous glucose sensor data, whereby a level of reliability is obtained; and

administering, using a medicament delivery device, a medicament to a patient based on the level of reliability,

wherein the continuous glucose sensor data comprises raw data and filtered data, and

wherein measuring a reliability comprises comparing the raw data with the filtered data to obtain at least one residual.

12. The method of claim 11, wherein detecting a level of signal artifact comprises comparing the at least one residual to at least one threshold.

13. The method of claim 11, wherein the receiving comprises outputting the continuous glucose sensor data from an electrode of the continuous glucose sensor.

14. A system for processing sensor data from a continuous glucose sensor, the system comprising:

a sensor data receiving module configured to receive continuous glucose sensor data, the continuous glucose sensor data comprising a plurality of sensor data points;

a signal reliability module configured to measure a reliability of the continuous glucose sensor data, whereby a level of reliability is obtained;

an output module configured to output the continuous glucose sensor data and an indication of the level of reliability of the continuous glucose sensor data; and

a controller configured to control a medicament delivery device'"'"'s administration of a medicament to a patient based on the level of reliability,

wherein the level of reliability comprises a numerical value.

15. A system for processing sensor data from a continuous glucose sensor, the system comprising:

a sensor data receiving module configured to receive continuous glucose sensor data, the continuous glucose sensor data comprising a plurality of sensor data points;

a signal reliability module configured to measure a reliability of the continuous glucose sensor data, whereby a level of reliability is obtained;

an output module configured to output the continuous glucose sensor data and an indication of the level of reliability of the continuous glucose sensor data; and

a controller configured to control a medicament delivery device'"'"'s administration of a medicament to a patient based on the level of reliability,

wherein the level of reliability comprises a rating in terms of a percentage.