Analyte Sensor Thermal Lag Compensation for Accurate Glucose Readings
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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 improper insulin delivery and potential health complications for diabetes patients.
Innovation Solution
Systems and methods are developed to compensate for temperature effects on analyte sensors by incorporating temperature sensors and processors to determine a delay parameter, adjust for temperature changes, and use additional sensor signals to refine glucose concentration readings.
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 conditions and provide compensation signals to the processor. This mediator enables the system to account for temperature effects on analyte sensor readings without fundamentally redesigning the sensor itself, thereby improving measurement precision while adding only minimal complexity through the temperature sensing and processing components.
2Measurement precision
If delay parameters are used to account for temperature change delays, then measurement precision is improved, but loss of time occurs
Solution Approach 1:
The system performs preliminary temperature measurements and applies delay parameters in advance to predict and compensate for temperature changes that will affect future analyte readings. By proactively accounting for thermal lag effects before they impact the measurement, the system maintains high precision without requiring real-time waiting periods for temperature equilibrium.
Solution Approach 2:
The processor continuously monitors temperature signals and uses delay parameters to predict future temperature conditions, creating a feedback loop that adjusts compensation in real-time. This feedback mechanism allows the system to maintain accurate glucose readings by constantly adapting to changing temperature conditions without introducing significant time delays.
3Measurement precision
If multiple sensor signals are integrated for temperature compensation, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The processor is designed to handle multiple functions: reading analyte sensor signals, reading temperature sensor signals, applying delay parameters, and calculating compensated glucose concentrations. By creating a universal processing unit that can handle diverse sensor inputs and compensation algorithms, the system improves measurement precision while consolidating complexity into a single multi-functional component rather than requiring separate dedicated circuits for each function.
Data Source
AI summary
Various examples are directed to systems and methods for generating an estimated analyte value. An analyte sensor system may access a first sensor signal from an in vivo analyte sensor and a first temperature signal from the ex vivo temperature sensor. The analyte sensor system may generate a first analyte sensor temperature based at least in part on the first temperature signal and generate a first estimated analyte value based at least in part on the first sensor signal and the first temperature-compensated sensitivity.