Glucose Sensor Temperature Compensation Using External Thermal Feedback
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Solution Overview
Problem
Existing analyte sensors, particularly glucose sensors, are adversely affected by temperature variations, leading to inaccurate glucose concentration readings which can result in improper insulin delivery and potential health complications for diabetes patients.
Innovation Solution
Implementing a system that compensates for temperature effects by using temperature sensors and processors to adjust glucose readings based on temperature parameters, delay periods, and additional sensor signals to provide accurate glucose concentration levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature compensation is implemented using temperature sensors and processors, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system continuously monitors temperature and uses this feedback to dynamically adjust glucose sensor readings. The processor receives temperature signals and applies compensation algorithms to correct glucose measurements in real-time, ensuring accuracy across varying temperature conditions without requiring manual intervention.
Solution Approach 2:
The system changes the operational parameters of the glucose sensor based on temperature conditions. By adjusting sensor sensitivity and calibration parameters according to temperature readings, the system maintains measurement precision across different temperature ranges while using existing sensor hardware.
2Reliability
If multiple sensors and processing steps are added for temperature compensation, then reliability is improved, but device complexity increases
Solution Approach 1:
The temperature sensor and glucose sensor are integrated into a single sensor assembly, allowing simultaneous measurement of both parameters. The processing functions for temperature compensation are merged into the existing controller, eliminating the need for separate compensation devices and reducing overall system complexity.
Solution Approach 2:
The processor acts as an intermediary that receives raw signals from both temperature and glucose sensors, applies compensation algorithms, and outputs corrected glucose values. This intermediary function consolidates multiple processing steps into a single integrated operation, improving reliability without proportionally increasing complexity.
Data Source
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.