Analyte Sensor Calibration Management for Early Sensitivity Attenuation
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Solution Overview
Problem
Continuous analyte monitoring devices, such as glucose sensors, face signal instability due to tissue trauma after insertion, leading to early sensitivity attenuation (ESA), which can result in erroneous glucose level readings, potentially causing missed hypoglycemic or hyperglycemic events.
Innovation Solution
The system detects changes in sensor sensitivity to identify ESA, delaying calibration until the sensor reaches stability, allowing for accurate real-time glucose monitoring by requesting a reference blood glucose value only after equilibration, thereby minimizing false readings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If calibration is performed immediately after sensor insertion, then calibration time is reduced, but measurement precision deteriorates due to early sensitivity attenuation
Solution Approach 1:
The system performs preliminary detection of sensor sensitivity characteristics during an initial calibration period before the sensor is fully inserted into the tissue. This preliminary action allows the system to identify early sensitivity attenuation (ESA) conditions and adjust the calibration process accordingly, preventing erroneous readings while minimizing overall calibration time
Solution Approach 2:
The calibration process is made dynamic by continuously monitoring sensor sensitivity characteristics and adjusting the calibration timing based on detected ESA conditions. The system adapts the calibration schedule in real-time based on sensor performance, rather than using a fixed calibration protocol
2Measurement precision
If calibration is delayed to avoid early sensitivity attenuation, then measurement precision improves, but loss of time increases
Solution Approach 1:
The system implements feedback by continuously monitoring sensor sensitivity characteristics and using this information to determine the optimal calibration timing. The feedback loop detects ESA conditions and adjusts the calibration process dynamically, allowing the system to proceed with calibration as soon as sensitivity stabilization is detected, thereby minimizing calibration time while ensuring accuracy
3Ease of operation
If standard calibration sensitivity calculation is used during signal attenuation, then ease of operation is maintained, but measurement precision deteriorates due to erroneous calibration
Solution Approach 1:
The system introduces an intermediary detection step that assesses sensor sensitivity characteristics before performing standard calibration. This intermediary check acts as a mediator between the simple standard calibration process and the need for accurate readings, automatically detecting ESA conditions and preventing erroneous calibration without requiring complex user intervention
Data Source
AI summary
Methods and devices to detect analyte in body fluid are provided. Embodiments include positioning an analyte sensor in fluid contact with an analyte, detecting an attenuation in a signal from an analyte sensor after positioning during a predetermined time period, receiving the data corresponding to an analyte level, providing a notification on the user interface that comprises a request for a blood analyte measurement, receiving an indication, based on the blood analyte measurement, of an absence of the error condition, and in response to receiving the indication, configuring the user interface to report the data corresponding to the analyte level, where the user interface was previously configured to not report the data corresponding to the analyte level.