Glucose Sensor Temperature Compensation with Thermal Delay Modeling
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Solution Overview
Problem
Existing analyte sensors, particularly glucose sensors, are affected by temperature variations, leading to inaccurate glucose concentration readings which can result in hyperglycemia or hypoglycemia, posing health risks for diabetes patients.
Innovation Solution
Systems and methods to determine temperature-compensated glucose concentration levels by incorporating temperature sensors and processors to adjust for temperature changes, using delay parameters, exercise detection, and environmental conditions to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature sensors and compensation mechanisms are added to analyte sensors, then measurement precision is improved, but device complexity increases
Solution Approach 1:
A temperature sensor is introduced as an intermediary component to detect temperature variations and provide temperature data to the processor. This mediator enables the system to compensate for temperature effects on glucose readings without directly modifying the glucose sensing mechanism itself, thereby improving measurement precision while adding minimal complexity.
Solution Approach 2:
The system changes the operational parameters by incorporating temperature as an additional measured parameter. The processor uses temperature data to adjust and compensate glucose concentration readings, effectively transforming the raw glucose signal into a temperature-compensated value that maintains accuracy across varying temperature conditions.
2Measurement precision
If delay parameters are used to account for temperature transmission time, then measurement precision is improved, but loss of time occurs
Solution Approach 1:
The system performs preliminary action by continuously monitoring temperature and pre-calculating compensation factors before they are needed for glucose reading adjustment. The delay parameter is predetermined based on known thermal transmission characteristics, allowing the system to apply compensation proactively rather than reactively, thus maintaining precision while minimizing perceived time loss.
Solution Approach 2:
A feedback mechanism is implemented where temperature data is continuously fed back to the processor, which adjusts the delay parameter dynamically based on actual temperature变化 patterns. This closed-loop feedback ensures that the time delay is optimized in real-time, balancing the need for accurate temperature compensation with minimal latency in glucose reading delivery.
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.