Indicator and analytics for sensor insertion in a continuous analyte monitoring system and related methods

• US 9,668,696 B2
• Filed: 11/28/2016
• Issued: 06/06/2017
• Est. Priority Date: 11/14/2013
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Dunn, Laura, Draeger, Rian, Koehler, Katherine Yerre, Bowman, Leif N., Reihman, Eli
• Primary Examiner(s): FILE, ERIN M
• Application Number:
  US15/362,623
• Publication Number:
  US 20170071539A1
• Time in Patent Office: 190 Days
• CPC Class Codes: A61B 2560/0487 Special user inputs or interfaces
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/684 Indicating the position of the sensor on the body
• CPC Class Codes: A61B 5/743 Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots
• CPC Class Codes: A61B 5/748 Selection of a region of interest, e.g. using a graphics tablet
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06T 2207/30196 Human being; Person
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: H04L 67/125 involving control of end-device applications over a network
• 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

The present embodiments provide systems and methods for, among others, tracking sensor insertion locations in a continuous analyte monitoring system. Data gathered from sensor sessions can be used in different ways, such as providing a user with a suggested rotation of insertion locations, correlating data from a given sensor session with sensor accuracy and/or sensor session length, and providing a user with a suggested next insertion location based upon past sensor accuracy and/or sensor session length at that location.

Claims

1. A system for continuous analyte monitoring, comprising:

a user computing device having a display and a camera, and storing executable instructions in a memory of the user computing device;

a continuous analyte sensor configured to be implanted within a body of a host; and

sensor electronics unit configured to receive and process sensor data generated by the continuous analyte sensor during a sensor session, to initialize the continuous analyte sensor, and to transmit the sensor data to the user computing device,

wherein the user computing device is configured to (i) receive, as an input, a location on the body where the continuous analyte sensor was inserted into the skin of the host via a user indication of the location on the display or via a photograph of the location by the camera, (ii) store the location, (iii) gather hypoglycemic accuracy data, and (iv) correlate data including the sensor data for the sensor session and the hypoglycemic accuracy data with the location to produce sensor location performance data.

2. The system of claim 1, wherein the user computing device is configured to store the sensor location performance data.

3. The system of claim 1, wherein the user computing device is configured to transmit the sensor location performance data to a database, the database including other sensor location performance data associated with other hosts.

4. The system of claim 1, wherein the data includes quantitative data regarding one or more sensor sessions corresponding to one or more sensor insertion locations, wherein the quantitative data comprises at least one of sensor accuracy, sensor session length, sensor baseline, sensor sensitivity, sensor sensitivity decline over time, sensor performance vs. past performance in a same person, sensor performance vs. a population of users, sensor performance by days or wear, sensor performance by geographical location, sensor performance by external environment, sensor performance by activity level, data indicative of signal noise, time spent out of communication range, adhesive data, reliability, data capture, noise metrics, detected faults, end of life metrics, and confidence levels.

5. The system of claim 1, wherein the user computing device is configured to receive as an input personal information of the host.

6. The system of claim 5, wherein the personal information includes at least one of height, weight, age, sex, body mass index (BMI), the host'"'"'s current mood, the host'"'"'s current pain level, the host'"'"'s current comfort level, the host'"'"'s current confidence level, the host'"'"'s perception of sensor performance, a location of an insulin infusion pump relative to the sensor, adhesive irritation, or adhesive success rate.

7. The system of claim 1, wherein the user computing device is a smartphone.

8. The system of claim 7, wherein the executable instructions stored on the user computing device are included in a downloadable software application.

9. The system of claim 1, wherein the user computing device is further configured to analyze the sensor location performance data with one or more other sensor location performance data associated with a different insertion location to generate a recommended location for a second sensor session.

10. The system of claim 9, wherein the user computing device is further configured to display the recommended location on the diagram of the body using the display of the user computing device.

11. The system of claim 9, wherein the one or more other sensor location performance data associated with a different insertion location includes data pertaining to at least one other host.

12. A system for continuous analyte monitoring, comprising:

one or more computers in a cloud computing network;

a continuous analyte monitoring device including a continuous analyte sensor configured to be implanted within a body of a host, and a sensor electronics unit configured to receive and process sensor data generated by the continuous analyte sensor during a sensor session, to initialize the continuous analyte sensor, and to transmit the sensor data to the user computing device; and

a user computing device having a display and a camera, and storing executable instructions in a memory of the user computing device, wherein the user computing device is configured to (i) receive, as an input, a location on the body where the continuous analyte sensor was inserted into the skin of the host via a user indication of the location on the display or via a photograph of the location by the camera, and (ii) transmit the input of the location and the sensor data to the one or more computers in the cloud computing network,

wherein the one or more computers in the cloud computing network is configured to (i) store the location and the sensor data, (ii) gather hypoglycemic accuracy data, and (iii) correlate data including the sensor data for the sensor session and hypoglycemic accuracy data with the location to produce sensor location performance data.

13. The system of claim 12, wherein the sensor location performance data is stored in a database in the cloud computing network, the database further storing other sensor location performance data associated with other hosts.

14. The system of claim 12, wherein the one or more computers is further configured to analyze the sensor location performance data of the host with one or more other sensor location performance data associated with a different insertion location to generate a recommended location for a second sensor session.

15. The system of claim 14, wherein the one or more other sensor location performance data associated with a different insertion location includes data pertaining to at least one other host.

16. The system of claim 12, wherein the data includes quantitative data regarding one or more sensor sessions corresponding to one or more sensor insertion locations, wherein the quantitative data comprises at least one of sensor accuracy, sensor session length, sensor baseline, sensor sensitivity, sensor sensitivity decline over time, sensor performance vs. past performance in a same person, sensor performance vs. a population of users, sensor performance by days or wear, sensor performance by geographical location, sensor performance by external environment, sensor performance by activity level, data indicative of signal noise, time spent out of communication range, adhesive data, reliability, data capture, noise metrics, detected faults, end of life metrics, and confidence levels.

17. The system of claim 12, wherein the user computing device is configured to receive as an input personal information of the host.

18. The system of claim 12, wherein the personal information includes at least one of height, weight, age, sex, body mass index (BMI), the host'"'"'s current mood, the host'"'"'s current pain level, the host'"'"'s current comfort level, the host'"'"'s current confidence level, the host'"'"'s perception of sensor performance, a location of an insulin infusion pump relative to the sensor, adhesive irritation, or adhesive success rate.

19. The system of claim 12, wherein the user computing device is a smartphone.

20. The system of claim 19, wherein the executable instructions stored on the user computing device are included in a downloadable software application.