Analyte Detection Using Time-Based Calibration-Free Pair Data
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Solution Overview
Problem
Existing analyte detection devices require calibration, which can lead to unreliable glucose monitoring due to non-linear sensor sensitivity changes during use, affecting the accuracy of blood glucose level measurements in diabetes management.
Innovation Solution
A calibration-free analyte detection device that pre-stores multiple pair-data sets with time parameter differences in memory, allowing the processor to index and retrieve the appropriate parameter values without needing a calibration function, reducing errors and improving reliability by adjusting based on sensor service time and physical characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If calibration function is used to adjust sensor sensitivity, then device complexity is reduced, but measurement precision deteriorates due to non-linear sensitivity changes
Solution Approach 1:
Multiple pair-data sets are pre-calculated and stored in memory during manufacturing, each corresponding to different time periods of sensor service life. This preliminary preparation eliminates the need for real-time calibration functions while ensuring accurate glucose measurements at any stage of sensor usage.
Solution Approach 2:
The sensor's service life is divided into multiple time periods, with each period having its own dedicated pair-data set. This segmentation allows the system to select the most appropriate data set for the current time period, improving measurement precision without requiring complex calibration algorithms.
2Measurement precision
If real-time calibration is performed, then measurement precision is improved, but loss of time increases due to calibration procedures
Solution Approach 1:
All necessary calibration data is pre-calculated and stored in memory before the sensor is used. This eliminates the need for time-consuming real-time calibration procedures, as the system simply retrieves the appropriate pre-prepared pair-data set based on the current time period.
3Device complexity
If single pair-data set is used for all time periods, then device complexity is reduced, but reliability deteriorates due to sensor sensitivity changes over time
Solution Approach 1:
The single pair-data set is segmented into multiple time-period-specific data sets, allowing the system to account for sensor sensitivity changes over time. This segmentation improves reliability by selecting the most appropriate data set for the current sensor age, while maintaining relatively simple device architecture.
Solution Approach 2:
The system dynamically selects the appropriate pair-data set based on the current time period, adapting to sensor sensitivity changes without requiring complex real-time adjustments. This dynamic selection process maintains high detection accuracy throughout the sensor's service life.
Data Source
AI summary
An analyte detection device is provided. A first predetermined pair-data set and a second predetermined pair-data set composed of a first parameter value and a second parameter value are prestored in a memory. The first predetermined pair-data set has at least a time parameter difference relative to the second predetermined pair-data set. After a sensor penetrates a user's skin to obtain the first parameter value, a processor calls the first predetermined pair-data set from the memory in a first time period, and then calls the second predetermined pair-data set from the memory in a second time period, and the second parameter value is obtained based on the first parameter value by index. There is no need for the preset calibration function to calculate the second parameter value according to the first parameter value. Different pair-data sets are called according to the service time of the sensor.