SIGNAL PROCESSING FOR CONTINUOUS ANALYTE SENSOR

• US 20100010331A1
• Filed: 09/23/2009
• Published: 01/14/2010
• Est. Priority Date: 12/09/2003
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Brauker, James H., Carr-Brendel, Victoria, Goode, Paul V., Kamath, Apurv U., Thrower, James P., Xavier, Ben
• Granted Patent: US 8,469,886 B2
• Time in Patent Office: Days
• US Class Current: 600/365
• 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 5/14503 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 5/1451 for interstitial fluid
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1468 using chemical or electrochemical methods, e.g. by polarographic means A61B5/1486 takes precedence
• CPC Class Codes: A61B 5/1473 invasive, e.g. introduced into the body by a catheter A61B5/1482 takes precedence
• CPC Class Codes: A61B 5/1486 using enzyme electrodes, e.g. with immobilised oxidase
• 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 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/7455 characterised by tactile indication, e.g. vibration or electrical stimulation
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61B 5/7475 User input or interface means, e.g. keyboard, pointing device, joystick
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• 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 dynamically and intelligently estimating analyte data from a continuous analyte sensor, including receiving a data stream, selecting one of a plurality of algorithms, and employing the selected algorithm to estimate analyte values. Additional data processing includes evaluating the selected estimative algorithms, analyzing a variation of the estimated analyte values based on statistical, clinical, or physiological parameters, comparing the estimated analyte values with corresponding measure analyte values, and providing output to a user. Estimation can be used to compensate for time lag, match sensor data with corresponding reference data, warn of upcoming clinical risk, replace erroneous sensor data signals, and provide more timely analyte information encourage proactive behavior and preempt clinical risk.

Claims

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

receiving sensor data from a continuous analyte sensor;

processing the sensor data; and

providing output based at least in part on the sensor data, wherein the sensor data is displayed on a graph having a non-uniform y-axis.

2. The method of claim 1, wherein providing output comprises displaying the output in real-time.

3. The method of claim 1, wherein processing the sensor data comprises prospectively calibrating the sensor data, and wherein the sensor data displayed on the non-uniform axis comprises a prospectively calibrated sensor data point.

4. The method of claim 1, wherein the non-uniform y-axis comprises a plurality of different zones simultaneously displayed, and wherein the plurality of different zones comprises a plurality of different display resolutions.

5. The method of claim 4, wherein the plurality of different zones comprises at least three zones with at least three different display resolutions.

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

7. A system for processing sensor data from a continuous analyte sensor, comprising:

an input module operatively connected to a continuous analyte sensor so as to receive sensor data from the continuous analyte sensor;

a processor module that processes the sensor data; and

an output module that provides output based on the sensor data, wherein the output comprises sensor data displayed on a graph with a non-uniform y-axis.

8. The system of claim 7, wherein output is displayed in real-time.

9. The system of claim 7, wherein the processor module prospectively calibrates the sensor data, and wherein the sensor data displayed on the graph is prospectively calibrated sensor data.

10. The system of claim 7, wherein the non-uniform y-axis comprises a plurality of different zones simultaneously displayed, and wherein the plurality of different zones comprises a plurality of different display resolutions.

11. The system of claim 10, wherein the plurality of different zones comprises at least three zones with at least three different display resolutions.

12. The system of claim 7, wherein the continuous analyte sensor is a continuous glucose sensor.