Glucose Sensor Temperature Compensation Using Dynamic Delay
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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 apply compensation models based on glucose and temperature signals, using additional sensor inputs like heart rate or activity levels to refine accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature compensation is applied to glucose sensor readings, 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 detect temperature variations and provide data to the processor. The processor then uses this temperature information as a mediator to adjust and compensate the glucose sensor readings, thereby improving measurement precision without directly modifying the glucose sensing mechanism itself.
Solution Approach 2:
The system implements a feedback loop where the temperature sensor continuously monitors temperature changes and feeds this information to the processor. The processor applies compensation algorithms based on the temperature data and feeds back adjusted glucose concentration values, creating a closed-loop system that automatically corrects for temperature-induced measurement errors.
2Measurement precision
If delay parameters are used to account for temperature change delays, then measurement precision is improved, but loss of time occurs due to the delay period required for compensation
Solution Approach 1:
The system performs preliminary actions by continuously monitoring temperature changes and pre-calculating compensation factors before they are needed for glucose readings. The processor maintains a history of temperature variations and prepares compensation data in advance, so when a glucose measurement is taken, the compensation can be applied immediately without waiting for temperature stabilization.
Solution Approach 2:
The delay parameter is made dynamic rather than fixed. The processor adjusts the delay duration based on the rate of temperature change and the specific conditions detected. When temperature changes rapidly, a longer delay is applied to ensure accurate compensation; when temperature is stable, the delay is minimized or eliminated, optimizing the balance between precision and response time.
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.