ADAPTIVE INTERFACE FOR CONTINUOUS MONITORING DEVICES

• US 20150118668A1
• Filed: 10/28/2014
• Published: 04/30/2015
• Est. Priority Date: 10/31/2013
• Status: Abandoned Application

• Current Assignee: DexCom Incorporated
• Original Assignee: DexCom Incorporated
• Inventors: Mayou, Phil, Bhavaraju, Naresh C., Bowman, Leif N., Carlton, Alexandra Lynn, Grubstein, Katherine Yerre, Mahalingam, Aarthi, Reihman, Eli, Simpson, Peter C., Dunn, Laura J.
• Application Number:
  US14/526,225
• Publication Number:
  US 20150118668A1
• Time in Patent Office: Days
• US Class Current: 434/236
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/1112 Global tracking of patients, e.g. by using GPS
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: G09B 19/00 Teaching not covered by other main groups of this subclass teaching or practice apparatus for gun-aiming or gun-laying F41G3/26
• CPC Class Codes: G09B 5/02 with visual presentation of the material to be studied, e.g. using film strip
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks

Abstract

Systems and methods that continuously adapt aspects of a continuous monitoring device based on collected information to provide an individually tailored configuration are described. The adaptations may include adapting the user interface, the alerting, the motivational messages, the training, and the like. Such adaptation can allow a patient to more readily identify and understand the information provided by/via the device.

Claims

1. An electronic device for monitoring a glucose concentration in a host, the device comprising:

a continuous glucose sensor, wherein the continuous glucose sensor is configured to substantially continuously measure a glucose concentration in a host, and to provide continuous sensor data associated with the glucose concentration in the host; and

a processor module configured to;

capture values from pre-identified inputs, the values indicating a behavior or context associated with a physiological condition for the host;

periodically store additional values received from the pre-identified inputs, wherein a record of host-specific pre-identified input values is created; and

periodically determine behavioral or contextual information about the host based on the record of host-specific pre-identified input values captured over time.

2. The device of claim 1 wherein the processor module is further configured to:

compare the at least one behavioral and/or contextual characteristic with one or more behavioral or contextual criteria; and

adjust a reporting format based at least in part on said comparing, wherein the reporting format comprises a reporting format characteristic that is different from the previous reporting format characteristic.

3. The device of claim 1, wherein the pre-identified inputs include at least one of amount of interaction, glucose alert/alarm states, sensor data, number of screen hits, alarm analysis, events, diabetes management data, free fatty acids, heart rate during exercise, IgG-anti gliadin, stress levels, from skin patch sensor, free amino acids, troponin, ketones, ketones, adipanectin, troponin, perspiration, or body temperature.

4. The device of claim 1, wherein the pre-identified inputs include at least one of a host'"'"'s biology, location, sensing surroundings or environmental data.

5. The device of claim 1, wherein the pre-identified inputs include at least one of hydration level, heart rate, target heart rate, internal temperature, outside temperature, outside humidity, analytes in the body, hydration inputs, power output, perspiration rate, cadence, adrenalin level, stress, sickness/illness, metabolic/caloric burn rate, fat breakdown rate, current weight, BMI, desired weight, target calories per day consumed, target calories per day expended, location, favorite foods, or level of exertion.

6. A method of identifying adaptation information associated with monitoring of a glucose concentration in a host, the method comprising:

capturing values from pre-identified inputs, the values indicating a behavior or context associated with a physiological condition for a host;

periodically storing additional values received from the pre-identified inputs, wherein a record of host-specific pre-identified input values is created; and

periodically determining behavioral or contextual information about the host based on the record of host-specific pre-identified input values captured over time.

7. The method of claim 6, further comprising:

transmitting the determined behavioral or contextual information about the host.

8. The method of claim 7, wherein transmitting comprises transmitting to at least one of a continuous monitoring device, a patient record system, a smartphone, or a social media internet site.

9. The method of claim 6, wherein determining behavioral or contextual information about the host comprises:

selecting one of a plurality of pre-identified input values included in the record; and

identifying one or more behaviors or contexts based on a comparison of the selected input value and the input providing the selected value with an identification value associated with a plurality of behaviors or contexts.

10. The method of claim 6, wherein determining behavioral or contextual information about the host comprises processing the pre-defined input values included in the record.

11. The method of claim 10, wherein processing the values comprises identifying a trend for the values.

12. The method of claim 6, wherein the pre-identified inputs include at least one of amount of interaction, glucose alert/alarm states, sensor data, number of screen hits, alarm analysis, events, diabetes management data, free fatty acids, heart rate during exercise, IgG-anti gliadin, stress levels from skin patch sensor, free amino acids, troponin, ketones, ketones, adipanectin, troponin, perspiration, or body temperature.

13. The method of claim 6, wherein the pre-identified inputs include at least one of a host'"'"'s biology, location, sensing surroundings or environmental data.

14. The method of claim 6, wherein the pre-identified inputs include at least one of hydration level, heart rate, target heart rate, internal temperature, outside temperature, outside humidity, analytes in the body, hydration inputs, power output, perspiration rate, cadence, adrenalin level, stress, sickness/illness, metabolic/caloric burn rate, fat breakdown rate, current weight, BMI, desired weight, target calories per day consumed, target calories per day expended, location, favorite foods, or level of exertion.

15. The method of claim 6, wherein the pre-identified inputs include detected improvements or success rate of stored goals/criteria.

16. The method of claim 6, wherein the periodically determining behavioral or contextual information about the host comprises identifying patterns of behavioral or contextual information based on recognition of predetermined patterns of the pre-identified inputs.

17. The method of claim 6, further comprising:

providing an indication of the contextual and/or behavioral information identified.

18. The method of claim 6, further comprising:

comparing the at least one behavioral and/or contextual characteristic with one or more behavioral or contextual criteria; and

adjusting a reporting format based at least in part on said comparing, wherein the reporting format comprises a reporting format characteristic that is different from the previous reporting format characteristic.

19. The method of claim 6, further comprising:

generating one or more behavioral or contextual criteria for the goal based on the determined behavioral or contextual information; and

generating a goal based on the generated criteria.

20. The method of claim 6, further comprising:

identifying a need related to training need or requested guidance based on the behavioral/contextual information for the host; and

providing training or guidance in response to the identified need, wherein the training or guidance is based on physiological information in conjunction with the behavioral/contextual information for the host.