Glucose Sensor Sensitivity Calibration via Iterative Averaging
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Solution Overview
Problem
Existing glucose monitoring systems face challenges in accurately detecting hypoglycemia due to changes in sensor sensitivity, which can lead to inaccurate glucose value calculations and reduced system accuracy.
Innovation Solution
A method for calibrating sensitivity involves obtaining an offset value, determining a first sensitivity from sensor data and a reference glucose value, and adjusting this sensitivity by reflecting average sensor data and glucose values over a predetermined period to achieve accurate sensitivity calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a simple sensitivity calculation method using reference glucose value and current sensor value is used, then the calculation process is simple, but the accuracy of sensitivity calculation deteriorates due to inability to respond to abnormal glucose values or sensor operation abnormalities
Solution Approach 1:
The sensitivity calculation process is divided into multiple stages: initial sensitivity calculation using reference glucose value, followed by iterative adjustment stages that incorporate average sensor data and glucose values over predetermined periods. This segmentation allows the system to progressively refine sensitivity accuracy without overwhelming complexity in a single calculation step.
Solution Approach 2:
The system performs preliminary calculations using reference glucose values and current sensor values to obtain an initial sensitivity estimate. This preliminary action provides a starting point that is then iteratively refined by incorporating historical average data, preparing the ground for more accurate sensitivity determination without requiring all complex calculations to be performed simultaneously.
2Productivity
If sensitivity is calculated using only current sensor data and reference glucose value, then the calculation is fast and simple, but the reliability of glucose measurement deteriorates due to sensor sensitivity changes over time
Solution Approach 1:
The system performs preliminary sensitivity calculation using current sensor data and reference glucose value to obtain an initial estimate quickly. This preliminary action maintains calculation speed while setting up a foundation that is then refined using historical average data from predetermined periods, ensuring both speed and reliability.
Solution Approach 2:
The sensitivity calculation transitions from a static single-point measurement to a dynamic multi-stage process that incorporates time-varying average sensor data and glucose values. This dynamic approach allows the system to adapt to sensor sensitivity changes over time while maintaining computational efficiency through iterative refinement rather than requiring all data to be processed simultaneously.
3Ease of operation
If conventional sensitivity calibration methods are used, then the system is easy to operate, but the measurement precision deteriorates because the method does not respond sensitively to abnormal glucose values or abnormal sensor operation
Solution Approach 1:
The system implements feedback mechanisms by incorporating average sensor data and average glucose values from predetermined periods into the sensitivity calculation. This feedback loop allows the system to automatically adjust sensitivity based on historical performance and respond sensitively to abnormal patterns, improving measurement precision while maintaining ease of operation through automated iterative refinement.
Solution Approach 2:
The system performs preliminary sensitivity calculation using simple reference glucose value and current sensor value, maintaining ease of operation. This preliminary action is then followed by automated iterative refinement using historical average data, which automatically responds to abnormal glucose values and sensor operation without requiring complex user intervention, thus preserving ease of operation while improving precision.
Data Source
AI summary
An embodiment may provide a method for calibrating sensitivity for glucose measurement including: obtaining an offset value for determining sensitivity; determining a first sensitivity from a sensor data and a reference glucose value, based on the offset value; and determining sensitivity by adjusting the first sensitivity, wherein the determining of the sensitivity includes obtaining one sensitivity, and determining sensitivity A by adjusting the one sensitivity by reflecting an average sensor data obtained by averaging a plurality of sensor data and an average glucose value obtained by averaging a plurality of glucose values to the one sensitivity; and determining the sensitivity A as the sensitivity.