INDICATOR AND ANALYTICS FOR SENSOR INSERTION IN A CONTINUOUS ANALYTE MONITORING SYSTEM AND RELATED METHODS

• US 20150135118A1
• Filed: 11/12/2014
• Published: 05/14/2015
• Est. Priority Date: 11/14/2013
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Grubstein, Katherine Yerre, Bowman, Leif N., Draeger, Rian, Dunn, Laura, Reihman, Eli
• Granted Patent: US 9,610,013 B2
• Time in Patent Office: Days
• US Class Current: 715/771
• 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, comprising:

displaying, on a device having a display, a diagram of a body; and

indicating, on the diagram, a recommended location for insertion of a sensor.

2. The method of claim 1, further comprising performing a pattern analysis on data relating to previous sensor insertion locations to generate the recommended location.

3. The method of claim 2, wherein the data includes data pertaining to at least one other user.

4. A method for continuous analyte monitoring, the method comprising:

receiving, using an input module, as an input an insertion location on a body where a sensor of a continuous analyte monitoring system was inserted into skin of a host;

storing the insertion location;

receiving as inputs data relating to a sensor session of the sensor; and

correlating the data with the insertion location using a correlation engine.

5. The method of claim 4, further comprising providing a recommendation for a next insertion location based on the correlated data using a recommendation engine.

6. The method of any of claims 4, further comprising storing the correlated data.

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

8. The method of any of claims 4, wherein a remote computing device performs at least one of the steps of storing the insertion location, receiving as inputs data relating to a sensor session of the sensor, and correlating the data with the insertion location.

9. The method of any of claims 4, wherein the data pertains to 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.

10. The method of any of claims 4, further comprising receiving as an input personal information of the host.

11. The method of claim 10, 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.