Systems and methods for processing sensor data

• US 9,135,402 B2
• Filed: 10/24/2008
• Issued: 09/15/2015
• Est. Priority Date: 12/17/2007
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Mensinger, Michael Robert, Li, Ying, Yang, Richard C., Kamath, Apurv Ullas, Ruppert, Deborah M.
• Primary Examiner(s): D'ANGELO, MICHAEL J
• Application Number:
  US12/258,345
• Publication Number:
  US 20090192366A1
• Time in Patent Office: 2,517 Days
• Field of Search: 600/309, 600/316, 600345-347, 600/365, 435/4, 435/14, 436/68, 422/50, 422420-429, 20440301-40315, 702/23, 604 64- 66
• US Class Current: 1/1
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2560/0406 specially shaped apparatus housings
• CPC Class Codes: A61B 2562/085 combined with means for recording calibration data
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• 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 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14539 for measuring pH
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• 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 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/6848 Needles
• 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 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 40/40 for the management of medical equipment or devices, e.g. scheduling maintenance or upgrades
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders
• 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 processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.

Claims

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

a continuous analyte sensor configured to continuously measure a concentration of analyte in a host and provide continuous analyte sensor data associated therewith; and

a processor module configured to set a mode selected from a plurality of predetermined modes, each mode of the plurality of modes comprising alarm criteria associated with a plurality of alarms,

wherein the processor module is configured to determine whether one or more of the alarm criteria associated with the set mode is met, and initiate an alarm associated with met alarm criteria,

wherein the processor module comprises programming configured to cause the processor module to automatically set the selected mode at least in part responsive to an adaptive mode learning module,

wherein the adaptive mode learning module is configured to process historic sensor data and the time-corresponding set mode over time to determine patterns or trends, and modify the automatic mode-setting programming to cause the processor module to set the mode responsive to detecting similar patterns or trends in sensor data subsequent to the historic sensor data.

2. The system of claim 1, wherein the system is configured to provide the alarm via an audible sound, visual display, vibration, alphanumeric message, and/or wireless transmission based on the set mode.

3. The system of claim 1, wherein the plurality of predetermined modes include a day mode and a night mode.

4. The system of claim 1, wherein the processor module is further configured to set the mode at least in part responsive to a mode profile.

5. The system of claim 4, wherein the mode profile is user settable.