# US 10,368,786 B2 · Indicator and analytics for sensor insertion in a continuous analyte monitoring system and related methods > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,368,786 B2 - Document ID: US10368786B2 - Status: Granted - Kind: B2 - Application number: 15/991,634 - Filed: 2018-05-29 - Published: 2018-09-27 - Granted: 2019-08-06 - Earliest claimed: 2013-11-14 - Assignees: DexCom, Inc. - Applicants: DexCom, Inc. - Inventors: Katherine Yerre Koehler; Leif N. Bowman; Rian Draeger; Laura Dunn; Eli Reihman - Web page: https://patentgrep.com/patent/US10368786B2 ## CPC - A61B 5/14532: {for measuring glucose, e.g. by tissue impedance measurement} - A61B 5/0022: {Monitoring a patient using a global network, e.g. telephone networks, internet} - A61B 5/684: {Indicating the position of the sensor on the body} - A61B 5/743: {Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots} - A61B 5/748: {Selection of a region of interest, e.g. using a graphics tablet} - 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 - G06T 7/70: Determining position or orientation of objects or cameras (camera calibration G06T7/80) - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 40/63: for local operation - G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients - H04L 67/125: involving control of end-device applications over a network - A61B 2560/0487: Special user inputs or interfaces - G06F 3/04842: Selection of displayed objects or displayed text elements (G06F3/0482 takes precedence) - G06F 3/0488: using a touch-screen or digitiser, e.g. input of commands through traced gestures - G06F 3/04883: for inputting data by handwriting, e.g. gesture or text - G06T 2207/30196: Human being; Person - Y02A 90/10: Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - Y02A: TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE ## 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 ### Claim 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. ### Claim 2 (depends on 1) The method of claim 1, further comprising correlating data from one or more sensor sessions with one or more sensors with the location. ### Claim 3 (depends on 2) The method of claim 2, further comprising storing the correlated data. ### Claim 4 (depends on 2) The method of claim 2, further comprising transmitting the correlated data to a database, the database including other correlated data associated with other hosts. ### Claim 5 (depends on 2) 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. ### Claim 6 (depends on 5) 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. ### Claim 7 (depends on 1) The method of claim 1, further comprising receiving as an input personal information of the host. ### Claim 8 (depends on 7) 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. ### Claim 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. ### Claim 10 (depends on 9) The method of claim 9, further comprising correlating data from one or more sensor sessions with one or more sensors with the location. ### Claim 11 (depends on 10) The method of claim 10, further comprising storing the correlated data. ### Claim 12 (depends on 10) The method of claim 10, further comprising transmitting the correlated data to a database, the database including other correlated data associated with other hosts. ### Claim 13 (depends on 10) 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. ### Claim 14 (depends on 13) 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. ### Claim 15 (depends on 9) The method of claim 9, further comprising receiving personal information of the host. ### Claim 16 (depends on 15) 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. ### Claim 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. ### Claim 18 (depends on 17) 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.