SYSTEMS AND METHODS FOR DETECTING GLUCOSE LEVEL DATA PATTERNS

• US 20130035871A1
• Filed: 08/03/2012
• Published: 02/07/2013
• Est. Priority Date: 08/05/2011
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Mayou, Phil, Hampapuram, Hari, Price, David, Snisarenko, Kostyantyn, Mensinger, Michael Robert, Bowman, Leif N., Boock, Robert J., Kamath, Apurv Ullas, Reihman, Eli, Simpson, Peter C., Weindel, Keri
• Granted Patent: US 10,575,762 B2
• Time in Patent Office: Days
• US Class Current: 702/26
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• 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 detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

Claims

1. A method for alerting a user based on measurements of an analyte concentration, the method comprising:

receiving data from at least one input, the data including measurements of an analyte concentration and time of day information;

analyzing the received data;

detecting a hypoglycemic event based on the data exceeding at least one predetermined threshold; and

displaying a trend graph of glucose measurements over time on a user interface, wherein the trend graph includes an indication of a hypoglycemic reoccurrence risk associated with a predetermined amount of time following the detected hypoglycemic event.

2. The method of claim 1, wherein detecting the hypoglycemia event comprises determining an average distance and a time a segment of time the measured analyte concentration is below a predetermined analyte concentration level.

3. The method of claim 1, wherein the method of claim C1 is performed only when a user-selectable setting is turned on.

4. The method of claim 1, wherein the predetermined amount of time is 48 hours.

5. The method of claim 1, further comprising triggering an audible or visual alert using the user interface responsive to detecting the hypoglycemic event and detecting that a current rate of change of the analyte concentration exceeds a predetermined threshold.

6. The method of claim 1, further comprising triggering an audible or visual alert using the user interface responsive to detecting the hypoglycemic event and detecting that the current analyte concentration is below a predetermined threshold.

7. An analyte concentration pattern detection system configured to perform the process of claim 1, the system comprising a continuous analyte sensor to generate the analyte concentration measurements, computer memory to store the generated analyte concentration measurements, a processor module configured to perform the detecting, and a user interface configured to perform the displaying.

8. The system of claim 7, further comprising instructions stored in the memory, wherein the instructions, when executed by the processor module, cause the processor module to perform the detecting.