Event-Aligned Diabetes Data Display for Sporadic Event Analysis
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Solution Overview
Problem
Existing methods for monitoring and analyzing diabetes-related information, such as glucose levels, are ineffective in accounting for sporadic or irregular events like exercise, illness, or stress, as they rely on chronological recording that fails to provide clear insights into the impact of such events on glucose levels.
Innovation Solution
A method and device for displaying diabetes-related information aligned by specific events, allowing users to tag and analyze data sets chronologically related to these events, enabling better analysis of sporadic occurrences by aligning information sets relative to their event-based chronological relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If chronological recording method is used to display diabetes-related information, then the information can be recorded in a simple and systematic way, but it fails to provide clear insights into the impact of sporadic events like exercise, illness, or stress on glucose levels
Solution Approach 1:
The patent transitions from a one-dimensional chronological display to a two-dimensional display that incorporates both time and event type. The graphical interface shows glucose measurements along the time axis while simultaneously organizing data by event categories (exercise, illness, stress, etc.), allowing users to view both temporal patterns and event-specific impacts without losing contextual relationships.
2Productivity
If traditional log books chronologically relate information by recording time, then routine and predictable habits can be analyzed by overlaying data from multiple days, but sporadic events that occur infrequently or irregularly cannot be effectively analyzed
Solution Approach 1:
The patent creates a universal display system that can handle both routine chronological analysis and sporadic event analysis within the same interface. The system automatically detects and tags various event types (exercise, meals, stress, illness) and provides specialized viewing modes for each, making the system adaptable to different analysis needs without requiring separate tools or methods.
Solution Approach 2:
The graphical user interface provides dynamic viewing options that allow users to switch between chronological views and event-based views. The system can dynamically adjust the display to show either time-based patterns for routine analysis or event-aligned patterns for sporadic event analysis, making the tool versatile for different analytical purposes.
3Stability of the object's composition
If glucose measurements are displayed in chronological order, then the sequence of measurements over time is preserved, but the relationship between measurements and specific events (exercise, illness, stress) is not clearly established
Solution Approach 1:
The patent adds an event-context dimension to the chronological display by creating a graphical interface that shows glucose measurements in relation to both time and event type. The display uses visual indicators to mark specific events (exercise, illness, stress) and aligns glucose measurements with these events, preserving temporal sequence while simultaneously establishing clear event-contextual relationships through a second organizational dimension.
Data Source
AI summary
A device, method, and graphical user interface for displaying diabetes related information sets aligned by the occurrence of a particular event are disclosed. After receiving a request for an event-aligned display of diabetes related information based on an event, a search for a plurality of tagged occurrences of the event and retrieval of an information set for each of the plurality of tagged occurrences is provided. Each information set may include diabetes related information chronologically related to the tagged occurrence. The retrieved information sets is displayed on a display, wherein the retrieved information sets are shown on the display aligned by their tagged occurrences such that all diabetes related information is positioned relative the event based on its chronological relationship with the event.