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

• US 10,368,786 B2
• Filed: 05/29/2018
• Issued: 08/06/2019
• 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): Flores, Leon
• Application Number:
  US15/991,634
• Publication Number:
  US 20180271420A1
• Time in Patent Office: 434 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 that uses a first sensor and a second sensor, the method comprising:

initiating a first sensor session for the first sensor with a transmitter and a device having a display;

displaying a diagram of a body on the display;

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

determining a recommended next insertion location for the second sensor based at least in part on the location of the body on which the sensor was inserted in the skin; and

displaying the recommended next insertion location for the second sensor on the display.

2. The method of claim 1, further comprising correlating data from one or more sensor sessions with one or more sensors with the location.

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 the host, sensor performance vs. a population of hosts, 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.

8. The method of claim 7, wherein the personal information includes at least one of height, weight, age, sex, body mass index, 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.

9. A method for continuous analyte monitoring including a continuous analyte monitoring system that uses a first sensor and a second sensor, the method comprising:

initiating a first new sensor session for the first sensor with a transmitter and a device having a display and a camera;

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

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

determining a recommended next insertion location for the second sensor based at least in part on the location of the body on which the sensor was inserted in the skin; and

displaying the recommended next insertion location on the display.

10. The method of claim 9, further comprising correlating data from one or more sensor sessions with one or more sensors 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 hosts, 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 receiving 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 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.

17. A method for continuous analyte monitoring, comprising:

downloading, to a device having a display, data regarding one or more sensor sessions associated with a plurality of hosts, the data being correlated with a location of each of the sensor sessions;

determining, using the correlated data, a suggested sensor insertion location on a body of a host based on the correlated data; and

displaying a diagram of a body on the display, wherein the diagram indicates the suggested sensor insertion location.

18. The method of claim 17, wherein the correlated 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 host, sensor performance vs. a population of hosts, 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 correlated with each location.