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

• US 10,004,437 B2
• Filed: 05/03/2017
• Issued: 06/26/2018
• Est. Priority Date: 11/14/2013
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Koehler, Katherine Yerre, Bowman, Leif N., Draeger, Rian, Dunn, Laura, Reihman, Eli
• Primary Examiner(s): File, Erin M
• Application Number:
  US15/585,757
• Publication Number:
  US 20170231567A1
• Time in Patent Office: 419 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 method for continuous analyte monitoring including a continuous analyte monitoring system having a sensor, the method comprising:

upon insertion of a sensor into skin of a host, automatically initiating a new sensor session with a transmitter and a device having a display, the automatically initiating triggered by one or more of the group selected from;

the transmitter engaging the sensor, or the transmitter or sensor engaging a mechanical switch upon engagement;

displaying, using a user interface associated with an input module, a diagram of a body on the display;

receiving as an input, via the diagram, a location on the body where the sensor was inserted into skin of a host; and

storing the location.

2. The method of claim 1, further comprising correlating data from the sensor for the sensor session with the location using a correlation engine.

3. The method of claim 2, further comprising storing the correlated data.

4. The method of claim 2, further comprising transmitting the correlated data to a database, the database including other correlated data associated with other hosts.

5. The method of claim 2, wherein the data includes quantitative data regarding one or more sensor sessions corresponding to one or more sensor insertion locations.

6. The method of claim 5, 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, or confidence levels.

7. The method of claim 1, further comprising receiving as an input personal information of the host using the input module.

8. The method of claim 7, wherein the personal information includes at least one of height, weight, age, sex, body mass index, the user'"'"'s current mood, the user'"'"'s current pain level, the user'"'"'s current comfort level, the user'"'"'s current confidence level, the user'"'"'s perception of sensor performance, a location of an insulin infusion pump relative to the sensor, adhesive irritation, or adhesive success rate.

9. A method for continuous analyte monitoring including a continuous analyte monitoring system having a sensor, the method comprising:

upon insertion of a sensor into skin of a host, automatically initiating a new sensor session with a transmitter and a device having a display and a camera, the automatically initiating triggered by one or more of the group selected from;

the transmitter engaging the sensor, or the transmitter or sensor engaging a mechanical switch upon engagement;

receiving as an input, via the camera, a photograph of a location on a body where the sensor was inserted into skin of a host;

analyzing the photograph to determine the location using an input processor; and

storing the location in a database.

10. The method of claim 9, further comprising using a correlation engine to correlate data from the sensor for the sensor session with the location.

11. The method of claim 10, further comprising storing the correlated data.

12. The method of claim 10, further comprising transmitting the correlated data to a database, the database including other correlated data associated with other hosts.

13. The method of claim 10, wherein the data includes quantitative data regarding one or more sensor sessions corresponding to one or more sensor insertion locations.

14. The method of claim 13, 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, or confidence levels.

15. The method of claim 9, further comprising using an input module to receive personal information of the host.

16. The method of claim 15, wherein the personal information includes at least one of height, weight, age, sex, body mass index, the user'"'"'s current mood, the user'"'"'s current pain level, the user'"'"'s current comfort level, the user'"'"'s current confidence level, the user'"'"'s perception of sensor performance, a location of an insulin infusion pump relative to the sensor, adhesive irritation, or adhesive success rate.