Temperature-Compensated Analyte Sensors for Accurate Glucose Readings
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Solution Overview
Problem
In vivo analyte sensors, such as glucose sensors, are affected by temperature changes, leading to errors in analyte measurements due to temperature dependencies.
Innovation Solution
Implementing temperature compensation methods using temperature sensors to adjust glucose values based on temperature thresholds, displaying compensated glucose values only when within predetermined ranges, and employing single or dual temperature sensors to estimate and correct for ambient and sensing area temperatures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature compensation is applied to analyte sensor data, then measurement precision is improved, but device complexity increases due to additional temperature sensors and processing requirements
Solution Approach 1:
A temperature sensor is introduced as an intermediary component to measure temperature at or near the analyte sensor. This temperature measurement serves as a mediator that enables compensation of the analyte sensor signal for temperature effects, thereby improving measurement accuracy without requiring direct modification of the analyte sensor itself
Solution Approach 2:
The system changes the temperature parameter measurement to compensate for its effect on analyte sensor performance. By measuring temperature and applying compensation algorithms, the system adjusts the analyte sensor readings to account for temperature-dependent variations in sensor response, maintaining measurement precision across different temperature conditions
2Measurement precision
If multiple temperature sensors are used to compensate for ambient temperature effects, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system applies partial temperature compensation by using a single temperature sensor positioned to measure temperature at or near the analyte sensor site. This partial measurement is sufficient to compensate for the dominant temperature effects on analyte sensing, avoiding the need for multiple temperature sensors while maintaining adequate measurement precision
Solution Approach 2:
Instead of placing multiple temperature sensors at different locations to fully characterize the thermal environment, the system uses a single temperature sensor to create a representative temperature measurement that copies or approximates the temperature conditions at the analyte sensor. This single measurement is then used for compensation purposes
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
Accurately compensates for temperature variations, reducing measurement errors and providing reliable glucose readings by adjusting glucose values based on temperature data.
Implementation Method 1
temperature sensor disposed on the analyte sensor adjacent to the sensing area
Data Source
AI summary
Methods of compensating for ambient temperature using temperature sensors, the method comprising: sampling at a first sampling rate, with a processor, first temperature measurements from a first temperature sensor on an on-body sensor. Then determining, with a processor, first ambient-compensated temperatures from the first temperature measurements; and determining, with a processor, final ambient-compensated temperatures by applying a correction gain or factor to the first ambient-compensated temperatures. Wherein the correction gain or factor changes value at a slower rate than the sampling rate.