In Vivo Sensor Sensitivity Calibration via Signal Attenuation Detection
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Solution Overview
Problem
Existing analyte monitoring systems face challenges in accurately calibrating in vivo sensors due to factors like signal attenuation, which can lead to inaccurate glucose level readings in diabetic patients.
Innovation Solution
The system implements a method for improved sensitivity calibration by defining system checks, using a reference measurement for calibration, and applying an adjustment map to balance the risk of over and under calibration. It also includes features to detect signal attenuation and adjust calibration accordingly, and to reconstruct signals to correct for previously undetected attenuation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If calibration is performed using reference measurements from in vivo sensors, then analyte concentration levels can be monitored automatically, but signal attenuation can cause inaccurate calibration and reduce measurement precision
Solution Approach 1:
The system performs preliminary detection of signal attenuation characteristics before executing the calibration process. By analyzing signal quality metrics and detecting attenuation patterns in advance, the system can identify unsuitable calibration conditions and defer calibration until signal quality improves, thereby preventing inaccurate calibration while maintaining automated monitoring capability
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor signal attenuation and use this information to adjust calibration timing and parameters. The feedback loop analyzes signal quality in real-time and provides control signals to defer or proceed with calibration, ensuring that calibration only occurs when signal conditions are appropriate, thus resolving the contradiction between automation and precision
2Measurement precision
If calibration is deferred when signal attenuation is detected, then measurement precision can be maintained, but loss of time occurs due to delayed calibration
Solution Approach 1:
The system dynamically adjusts calibration scheduling based on real-time signal quality assessment. Instead of fixed calibration intervals, the system continuously evaluates signal attenuation characteristics and adaptively determines optimal calibration timing. This dynamic approach ensures calibration is postponed only when necessary for accuracy while minimizing unnecessary delays, balancing precision requirements with time efficiency
3Measurement precision
If system checks are implemented to verify calibration conditions, then measurement precision improves, but device complexity increases due to additional checks and processing
Solution Approach 1:
The system implements a tiered approach to system checks, performing essential attenuation detection and basic signal quality assessment as standard procedures. Additional comprehensive checks are performed only when initial assessments indicate potential calibration issues or when confidence in signal quality is insufficient. This partial action approach maintains high calibration reliability while avoiding the complexity burden of running all possible checks continuously
Data Source
AI summary
Methods, devices, systems, and computer program products are provided to improve sensitivity calibration of an in vivo analyte sensor and usability of an associated analyte monitoring system. In certain embodiments, methods are provided that improve the user experience of using an analyte monitoring system. Certain embodiments of the present disclosure include features that reduce the amount of calibration or re-calibration performed by the analyte monitoring system. More specifically methods of using a suspect calibration attempt to avoid having to recalibrate by adjusting the calibration or mitigating effects of sensor signal attenuation that caused the calibration attempt to be suspect are provided. Additional features are disclosed.