Analyte Sensor Calibration with Composite Sensitivity
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Solution Overview
Problem
Existing analyte monitoring systems face challenges in accommodating a range of sensor sensitivities and require improved data processing and calibration methods to ensure accurate glucose monitoring.
Innovation Solution
A method and apparatus for receiving a calibration parameter, determining sensitivity values, and calculating a composite sensitivity for an in vivo analyte sensor, incorporating prior sensitivity values and real-time data processing to enhance accuracy and adaptability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single sensitivity value is used for calibration, then the calibration process is simple, but it cannot accommodate sensors with varying sensitivities
Solution Approach 1:
The calibration process is segmented into multiple stages: initial single-point calibration for quick setup, followed by optional multi-point calibration for enhanced accuracy. The system divides the sensitivity characterization into discrete measurement points that can be taken at different times and conditions, allowing flexibility between simplicity and precision based on specific needs.
Solution Approach 2:
The calibration approach transitions from a static single sensitivity value to a dynamic multi-point sensitivity profile. The system adaptively determines the number and distribution of calibration points based on sensor characteristics and operational requirements, allowing the calibration complexity to adjust dynamically rather than being fixed.
2Measurement precision
If multiple calibration points are used, then accuracy is improved, but the calibration time increases
Solution Approach 1:
The system implements optional partial calibration where only the necessary number of calibration points are performed based on the required accuracy level. Users can choose to perform minimal calibration (fewer points) when high accuracy is not critical, or expand to full multi-point calibration when maximum precision is needed, avoiding unnecessary time expenditure.
Solution Approach 2:
The system performs preliminary single-point calibration to establish a baseline sensitivity value quickly, then optionally adds additional calibration points only if higher accuracy is required. This preliminary action provides immediate functional calibration while allowing incremental improvement without requiring all calibration steps to be performed.
3Ease of operation
If manual calibration procedures are used, then the system is easy to understand, but the processing efficiency is reduced
Solution Approach 1:
The system automatically processes calibration data once measurement points are collected, performing sensitivity calculations and generating calibration curves without requiring manual intervention. The processor autonomously handles the complex computations and data analysis, maintaining ease of operation while dramatically improving processing efficiency through automation.
Solution Approach 2:
Manual calculation and processing methods are replaced with automated electronic processing. The system uses digital signal processing and computational algorithms to analyze calibration data, replacing manual mathematical operations with automated computational systems that are both simpler to operate and significantly more efficient.
Data Source
AI summary
Methods and apparatus for providing data processing and control for use in a medical communication system are provided.