Glucose Sensor Temperature Compensation With Delay Modeling
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Solution Overview
Problem
Glucose sensors face inaccuracies due to temperature fluctuations, which affect the estimation of glucose concentration levels, necessitating a method to compensate for temperature effects to improve accuracy and precision.
Innovation Solution
A temperature-compensated glucose sensor system that includes a temperature sensor and electronics to determine a temperature-compensated glucose concentration level using delay parameters and models, accounting for temperature variations and delays between detection and actual temperature changes at the sensing site.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature compensation is implemented using a temperature sensor and delay parameters, then measurement precision of glucose concentration is improved, but device complexity increases
Solution Approach 1:
A temperature sensor is introduced as an intermediary component to detect temperature variations at the sensing site. The temperature data serves as a mediator to calculate delay parameters that compensate for the time lag between temperature changes and their effect on glucose concentration measurements, thereby improving measurement precision without requiring direct modification of the glucose sensor itself
Solution Approach 2:
The system performs preliminary temperature monitoring and delay parameter calculation before the temperature effect significantly impacts the glucose measurement. By continuously tracking temperature variations in advance and pre-calculating the delay parameters, the system can proactively compensate for temperature-induced measurement errors, improving accuracy while maintaining a relatively simple device structure
2Measurement precision
If delay parameters are used to account for temperature detection lag, then measurement precision is improved, but loss of time in processing increases
Solution Approach 1:
The system implements a feedback mechanism where temperature data is continuously monitored, delay parameters are dynamically calculated based on the observed temperature-glucose relationship, and compensation is applied in real-time. This closed-loop feedback approach allows the system to adapt to varying temperature conditions and optimize the compensation timing, improving measurement precision while minimizing processing time delays
Solution Approach 2:
The system changes the parameter of time by introducing delay parameters that account for the temporal lag between temperature detection and its effect on glucose measurement. By modeling and compensating for this time delay, the system can accurately determine the temperature-compensated glucose concentration level without requiring excessive processing time, thus improving precision while managing time loss
Data Source
Figure 1~2A
Figure 2B~2C
Figure 2D
AI summary
This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.