Analyte data processing, reporting, and visualization
Certain aspects of the present disclosure provide techniques for processing and presenting analyte data. Some example aspects may describe techniques for generating and providing a user interface view of a user's performance report for display. Some example aspects may describe techniques for providing one or more user interface views for display on one or more widgets.
1. A method for generating a user interface view associated with sensor data representative of analyte levels in a host, comprising:
receiving sensor data associated with the host in a first time period, the first time period comprising a plurality of analysis time periods of same duration, the sensor data comprising:
analyte data indicative of analyte levels of the host during the first time period;
insulin data indicative of insulin intake during the first time period;
carbohydrate data indicative of carbohydrate intake during the first time period; and
physical activity data indicative of physical activity levels during the first time period;
determining a first analysis time period in the first time period during which the host spent a least amount of time in a target analyte range, the first analysis time period comprising a single continuous time period of 24 hours or less;
determining a second time period in the first analysis time during which the host was outside of the target analyte range;
generating a performance report, the performance report comprising:
a first feature comprising a compilation of first factors contributing to the host spending the least amount of time in the target analyte range, the first factors comprising an average analyte level, an amount of the carbohydrate intake, an amount of the insulin intake, and an amount of physical activity of the host during the first analysis time period; and
a second feature comprising a second compilation of second factors contributing to the host spending the least amount of time in the target analyte range, the second factors comprising a trend of the analyte levels, a trend of the carbohydrate intake, a trend of the insulin intake, and a trend of the physical activity levels of the host during the first analysis time period, wherein at least one of the first compilation or the second compilation associates the first factors or the second factors with the second time period;
generating a user interface view of the performance report; and
providing the user interface view of the performance report for display.
2. The method of claim 1 , wherein the performance report further comprises percentages of analyte levels of the host at one or more analyte level ranges during the first analysis time period.
3. The method of claim 1 , wherein the performance report further comprises a time spent in at least one of the one or more analyte level ranges during the first analysis time period.
4. The method of claim 3 , wherein:
the one or more analyte level ranges comprises a plurality of analyte level ranges;
the performance report comprises a time spent in each of the plurality of analyte level ranges; and
the time spent in each of the plurality of analyte level ranges is represented by a block in a stacked bar graph.
5. The method of claim 4 , wherein a color or size of the block in the stacked bar graph corresponds to the time spent in one of the plurality of analyte level ranges.
6. The method of claim 1 , wherein the trend of the analyte levels is represented by a scatter plot.
7. The method of claim 1 , wherein at least one of the trend of the carbohydrate intake, the trend of the insulin intake, or the trend of the physical activity levels during the first analysis time period is represented by a bar graph.
8. The method of claim 7 , wherein the trend of the carbohydrate intake, the trend of the insulin intake, and the trend of the physical activity levels during the first analysis time period are represented by a bar graph broken into multiple stacked data sets to enable comparison of the trend of the carbohydrate intake, the trend of the insulin intake, and the trend of the physical activity levels during the first analysis time period.
9. The method of claim 1 , further comprising:
determining a second analysis time period in the first time period during which the host spent a most amount of time in the target analyte range; and
determining a third time period in the second analysis time during which the host was within the target analyte range.
10. The method of claim 9 , wherein the performance report further comprises:
an average analyte level and a trend of the analyte levels of the host during the second analysis time period;
an amount of carbohydrate intake and a trend of the carbohydrate intake during the second analysis time period;
an amount of insulin intake and a trend of the insulin intake during the second analysis time period; and
an amount of physical activity and a trend of the physical activity levels during the second analysis time period, and wherein at least one of the average analyte level and the trend of the analyte levels during the second analysis time period, the amount of the carbohydrate intake and the trend of the carbohydrate intake during the second analysis time period, the amount of the insulin intake and the trend of the insulin intake during the second analysis time period, or the amount of the physical activity and the trend of the physical activity levels during the second analysis time period is associated with the third time period.
11. A system for generating a user interface view associated with sensor data representative of analyte levels in a host, comprising:
at least one memory comprising executable instructions, and
at least one first processor in data communication with the memory and configured to execute the executable instructions to:
receive sensor data associated with a host in a first time period, the first time period comprising a plurality of analysis time periods of same duration, the sensor data comprising:
analyte data indicative of analyte levels of the host during the first time period;
insulin data indicative of insulin intake during the first time period;
carbohydrate data indicative of carbohydrate intake during the first time period; and
physical activity data indicative of physical activity levels during the first time period;
determine a first analysis time period in the first time period during which the host spent a least amount of time in a target analyte range, the first analysis time period comprising a single continuous time period of 24 hours or less;
determine a second time period in the first analysis time during which the host was outside of the target analyte range;
generate a performance report, the performance report comprising:
a first feature comprising a compilation of first factors contributing to the host spending the least amount of time in the target analyte range, the first factors comprising an average analyte level, an amount of the carbohydrate intake, an amount of the insulin intake, and an amount of physical activity of the host during the first analysis time period; and
a second feature comprising a second compilation of second factors contributing to the host spending the least amount of time in the target analyte range, the second factors comprising a trend of the analyte levels, a trend of the carbohydrate intake, a trend of the insulin intake, and a trend of the physical activity levels of the host during the first analysis time period, wherein at least one of the first compilation or the second compilation associates the first factors or the second factors with the second time period;
generate a user interface view of the performance report; and
provide the user interface view of the performance report for display on a user equipment.
12. The system of claim 11 , wherein the performance report further comprises percentages of analyte levels of the host at one or more analyte level ranges during the first analysis time period.
13. The system of claim 11 , wherein the performance report further comprises a time spent in at least one of the one or more analyte level ranges during the first analysis time period.
14. The system of claim 13 , wherein:
the one or more analyte level ranges comprises a plurality of analyte level ranges;
the performance report comprises a time spent in each of the plurality of analyte level ranges; and
the time spent in each of the plurality of analyte level ranges is represented by a block in a stacked bar graph.
15. The system of claim 14 , wherein a color or size of the block in the stacked bar graph corresponds to the time spent in one of the plurality of analyte level ranges.
16. The system of claim 11 , wherein the trend of the analyte levels is represented by a scatter plot.
17. The system of claim 11 , wherein at least one of the trend of the carbohydrate intake, the trend of the insulin intake, or the trend of the physical activity levels during the first analysis time period is represented by a bar graph.
18. The system of claim 17 , wherein the trend of the carbohydrate intake, the trend of the insulin intake, and the trend of the physical activity levels during the first analysis time period are represented by a bar graph broken into multiple stacked data sets to enable comparison of the trend of the carbohydrate intake, the trend of the insulin intake, and the trend of the physical activity levels during the first analysis time period.
19. The system of claim 11 , wherein the at least one first processor is further configured to:
determine a second analysis time period in the first time period during which the host spent a most amount of time in the target analyte range.
20. The system of claim 19 , wherein the performance report further comprises:
an average analyte level and a trend of the analyte levels of the host during the second analysis time period;
an amount of carbohydrate intake and a trend of the carbohydrate intake during the second analysis time period;
an amount of insulin intake and a trend of the insulin intake during the second analysis time period; and
an amount of physical activity and a trend of the physical activity levels during the second analysis time period.