Personalized Blood Glucose Baseline for Non-Invasive Monitoring
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Solution Overview
Problem
Non-invasive blood glucose monitoring using optical technology lacks accuracy, especially in determining hypoglycemia, as it fails to account for individual variations and contextual factors such as meal times, exercise, and sleep, leading to potential missed or delayed detection of low blood glucose levels.
Innovation Solution
An electronic device with a sensor module, processor, and memory that monitors blood glucose levels, determines meal times, calculates average glucose values, and establishes a baseline level to set a personalized low blood glucose reference, enabling continuous or periodic monitoring and notification of hypoglycemia based on user-specific contexts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive optical blood glucose monitoring is used, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent changes the reference parameter from fixed absolute blood glucose values to dynamic baseline values derived from individual user data. By continuously updating the baseline based on historical measurements and contextual factors (meal times, exercise, sleep), the system adapts to individual variations and improves measurement precision while maintaining the ease of non-invasive optical monitoring
Solution Approach 2:
The system implements feedback by using measured blood glucose levels to continuously update the user-specific baseline. The baseline is recalculated based on accumulated data and contextual information, creating a closed-loop system that improves precision over time while maintaining operational simplicity
2Device complexity
If uniform blood glucose criteria are used to determine hypoglycemia, then device complexity is reduced, but reliability deteriorates
Solution Approach 1:
The patent applies local quality by transitioning from uniform blood glucose criteria to individualized thresholds. Each user develops their own baseline and hypoglycemia threshold based on their specific physiological characteristics, meal patterns, exercise habits, and sleep cycles. This personalized approach improves reliability without significantly increasing device complexity, as the system automatically adapts to each user
3Measurement precision
If absolute blood glucose values are used for hypoglycemia detection, then measurement precision is simplified, but reliability deteriorates due to individual variations
Solution Approach 1:
The patent changes the reference parameter from fixed absolute values to dynamic relative values based on individual baselines. By expressing blood glucose levels as deviations from each user's baseline rather than against universal thresholds, the system maintains measurement precision while improving reliability across diverse populations with varying physiological characteristics
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution provides more accurate and personalized blood glucose monitoring, enabling timely prediction and prevention of hypoglycemia by accounting for individual variations and contextual factors, improving the reliability of non-invasive glucose level assessments.
Implementation Method 1
Non-invasive blood glucose monitoring methods using optical technology lack accuracy compared to invasive methods
Data Source
AI summary
An electronic device includes a housing; a sensor module in the housing; a display; a memory; and a processor configured to monitor a blood glucose level of a user by using the sensor module; determine that the user is eating; record, in the memory, both a timepoint, of confirming that the blood glucose level exceeds the specific level, and the blood glucose level at the timepoint; determine, based on blood glucose records, a first timepoint, after the first meal, and a second timepoint, before the second meal; calculate an average value of blood glucose levels between the first timepoint and the second timepoint; obtain accumulated average value records daily; calculate a baseline blood glucose level of the user by using the plurality of accumulated average value records; and determine a low blood glucose reference level of the user based on the calculated baseline blood glucose level.