Analyte Sensor Calibration Failure Detection and Data Processing
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Solution Overview
Problem
Current analyte monitoring systems face challenges in accurately detecting calibration failures and managing data processing for continuous glucose monitoring, leading to potential inaccuracies and user notification inefficiencies.
Innovation Solution
A method and apparatus for detecting calibration failures in analyte sensors, retrieving relevant parameters, determining corrective conditions, and generating notifications to address these failures, while also managing data processing modes for transmission, display, and storage based on glucose level determinations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If calibration failure detection and notification systems are implemented, then monitoring reliability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary detection of calibration failures by evaluating sensor data quality and calibration parameters before actual calibration execution. This advance detection prevents unreliable calibration and reduces the need for complex post-calibration verification systems.
Solution Approach 2:
The system implements feedback mechanisms where calibration failure notifications are generated and transmitted to both user interfaces and external systems. This feedback loop enables continuous monitoring and automatic response to calibration issues, improving reliability without requiring overly complex manual intervention systems.
2Loss of information
If multiple data processing modes (transmission, display, storage) are implemented, then information utilization is improved, but processing complexity increases
Solution Approach 1:
The data processing system is segmented into distinct functional modes: transmission mode for sending data externally, display mode for local visualization, and storage mode for data retention. Each mode can be independently activated based on system state and user needs, reducing the complexity of managing all processing functions simultaneously while maximizing information utilization.
3Measurement precision
If continuous monitoring and frequent notifications are implemented, then detection precision is improved, but energy consumption increases
Solution Approach 1:
The system employs periodic evaluation of calibration parameters and sensor data quality at defined intervals rather than continuous monitoring. Notifications are triggered periodically or event-driven based on detected calibration failures, maintaining high detection precision while reducing transmitter activation frequency and associated energy consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of analyte monitoring by promptly addressing calibration failures and optimizing data processing, ensuring reliable glucose level monitoring and user notifications.
Implementation Method 1
The sensor cell may use a two or three-electrode (work, reference and counter electrodes) configuration driven by a controlled potential (potentiostat) analog circuit
Implementation Method 2
The transmitter unit is configured to transmit the analyte levels detected by the sensor over a wireless communication link such as an RF (radio frequency) communication link
Data Source
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AI summary
Methods and apparatus for providing data processing and control for use in a medical communication system are provided.