Analyte Sensor Offset Calibration for Early Signal Attenuation
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Solution Overview
Problem
Existing analyte sensors experience signal instability due to potential trauma from insertion, leading to inaccurate analyte level monitoring, particularly in continuous glucose monitoring for diabetes management.
Innovation Solution
A method and device for determining early signal attenuation (ESA) in analyte sensors by estimating a time-varying offset and applying it along with a normal sensitivity value to processed sampled data, enabling accurate analyte level estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sensor insertion is performed to enable continuous analyte monitoring, then continuous monitoring capability is improved, but signal instability occurs due to tissue trauma
Solution Approach 1:
The patent applies preliminary action by performing early signal attenuation (ESA) detection immediately after sensor insertion, before the sensor fully integrates with the tissue. The system detects signal characteristics in an early time window (e.g., first few hours) and uses this information to calculate compensation factors that stabilize the signal before continuous monitoring begins, preventing the tissue trauma-induced instability from affecting monitoring accuracy.
Solution Approach 2:
The patent implements feedback by continuously monitoring signal characteristics and comparing them against expected patterns. When signal attenuation is detected, the system calculates a compensation factor based on the degree of attenuation and applies this factor to subsequent readings. This closed-loop feedback mechanism dynamically adjusts the signal to maintain stability throughout the sensor's operational life.
2Measurement precision
If signal attenuation compensation is applied to maintain measurement accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies parameter changes by modifying the sensitivity parameter of the sensor signal based on detected signal attenuation characteristics. Instead of complex multi-parameter adjustments, the system calculates a single compensation factor that adjusts the sensitivity parameter, transforming the raw signal into a corrected signal. This approach maintains measurement precision while avoiding overly complex processing algorithms.
3Reliability
If early signal attenuation detection is performed to stabilize sensor signals, then signal stability is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary signal characterization and attenuation detection during an early time window after insertion, before the majority of continuous monitoring occurs. By completing the complex signal stability assessment upfront, the system avoids the need for continuous heavy processing during normal operation, thereby improving signal stability without significantly impacting overall monitoring time.
Data Source
AI summary
Methods and devices to detect analyte in body fluid are provided. Embodiments include generating signals indicative of a glucose level in the interstitial fluid, obtaining a plurality of data points from the signals generated by the glucose sensor, pairing the plurality of data points with reference data to form a plurality of pairs, estimating, based on the plurality of pairs, a first offset corresponding to a window of a time period, determining a time varying offset based on the first offset, and applying the time varying offset to the plurality of data points to estimate the glucose level.