Blood Glucose Management With Automated Meal-Time Detection
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Solution Overview
Problem
Existing diabetes management systems fail to effectively associate exogenous events with blood glucose levels, leading to inadequate self-management capabilities in diabetic patients.
Innovation Solution
A method to determine meal times based on blood glucose values, display meal-related glucose values, and compare actual glucose curves with healthy standards, along with exercise risk assessment and exogenous event prediction using event identification models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of meal time is required, then user can provide accurate dietary information, but operation complexity increases and user burden increases
Solution Approach 1:
The system automatically determines meal time by analyzing blood glucose data patterns without requiring manual user input. The processing unit identifies meal events by detecting characteristic blood glucose response patterns, automatically associating them with meal times based on physiological delay parameters. This self-service approach eliminates manual operation burden while maintaining accurate meal time identification through objective biochemical markers.
Solution Approach 2:
The patent replaces manual mechanical input (user typing or selecting meal time) with an automated biochemical detection system. Blood glucose measurements serve as the input signal, and the system uses algorithmic processing to extract meal time information, substituting the mechanical interaction with a physiological-based automated detection mechanism.
2Loss of information
If blood glucose data is displayed without context, then data presentation is simple, but user understanding of dietary impact is insufficient
Solution Approach 1:
The system merges multiple data streams (blood glucose values, meal time determinations, dietary information) into a unified contextualized presentation. The display unit combines numerical glucose data with graphical curves, meal time markers, and explanatory annotations about dietary impact, creating an integrated information package that provides comprehensive context without requiring separate displays for each data type.
Solution Approach 2:
The processing unit acts as an intermediary that transforms raw blood glucose data into meaningful contextual information. It identifies meal events, determines their timing, calculates glucose response patterns, and generates explanatory content that bridges the gap between raw data and user understanding, mediating between the measurement system and the user interface.
3Ease of operation
If meal time is determined algorithmically from blood glucose data, then manual input burden is reduced, but determination accuracy may be affected by data quality
Solution Approach 1:
The system uses feedback loops where blood glucose measurements continuously inform meal time determination, and determined meal times in turn provide context for interpreting subsequent glucose readings. The processing unit continuously monitors glucose patterns, adjusts meal event identification based on observed patterns, and refines timing estimates using feedback from multiple sequential measurements, improving accuracy over time while maintaining automated operation.
Data Source
AI summary
This application discloses a blood glucose management method and a related electronic device. In the method, meal time of a diet event of a user can be determined based on a blood glucose value of the user, and when a blood glucose curve drawn based on blood glucose values of the user is displayed, the meal time and/or a blood glucose value related to the meal time are/is displayed on the blood glucose curve. In this way, the diet event of the user can be associated with blood glucose of the user, and a blood glucose change of the user before and after a meal can be highlighted. This helps the user more intuitively learn of impact of a diet on the blood glucose, and helps the user manage and control the blood glucose starting from the diet.