Biosensor Cross-Calibration via Background Current Subtraction
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Solution Overview
Problem
Continuous glucose monitoring (CGM) systems face challenges with inconsistent readings and background artifacts immediately after sensor insertion, requiring a run-in time for stabilization, and have limited operational lifetimes of around 14 days, with a need to extend wear time and improve accuracy.
Innovation Solution
A cross-calibration method involving a first biosensor already inserted into the subject is used to calibrate a second biosensor by measuring currents, predicting and subtracting background currents, and applying correction factors based on historical data to achieve accurate glucose values without relying on blood analyte measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a run-in time is required for sensor stabilization after insertion, then measurement reliability is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary calibration actions during the run-in period by continuously comparing measurements from the first sensor with reference measurements from a second sensor. This preliminary calibration establishes correction factors that can be applied to subsequent measurements, effectively preparing the system for reliable operation without requiring a separate calibration step after the run-in period.
Solution Approach 2:
The system implements feedback by continuously monitoring the difference between measurements from the first sensor and reference measurements from the second sensor during the run-in period. This feedback is used to dynamically adjust and refine correction factors, ensuring that the calibration adapts to actual sensor behavior and improves measurement reliability over time.
2Productivity
If sensor wear time is extended beyond traditional limits, then productivity is improved, but measurement precision deteriorates due to drift and artifacts
Solution Approach 1:
The system continuously compares measurements from the first sensor with reference measurements from the second sensor throughout the extended wear period. This ongoing feedback allows the system to detect and correct for sensor drift and background artifacts that develop over time, maintaining measurement precision even as the sensor remains in use for extended periods beyond traditional 14-day limits.
Solution Approach 2:
The system dynamically adjusts correction factors based on changing sensor characteristics over time. By monitoring measurement differences and updating calibration parameters continuously, the system adapts to parameter changes in sensor performance, enabling extended wear time while compensating for drift through real-time parameter adjustments.
3Ease of operation
If cross-calibration is performed without blood analyte measurements, then ease of operation is improved, but measurement precision may be affected
Solution Approach 1:
The system uses a second sensor as an intermediary reference device to perform cross-calibration without requiring direct blood analyte measurements. The second sensor provides reference measurements that serve as a mediator between the first sensor and ground truth, enabling calibration to proceed through sensor-to-sensor comparison rather than requiring invasive blood sampling, thus improving ease of operation while maintaining precision through the intermediary reference.
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
This method enables reliable and extended glucose monitoring by stabilizing sensor readings and improving accuracy, potentially extending sensor wear time beyond 30 days with reduced need for blood calibrations.
Implementation Method 1
measuring a first current from a first biosensor and measuring a second current from a second biosensor
Data Source
AI summary
Embodiments provide for methods, systems, apparatus and computer readable media for calibrating an analyte sensor upon insertion into tissue of a subject based at least in part on parameters obtained from another analyte sensor already calibrated and previously inserted into the tissue of the subject. As an example, a method may include predicting a background current associated with the newly inserted sensor, subtracting the background current from a current measured by the newly inserted sensor, and converting the subtracted current to a glucose value, the converting based at least in part on the parameters obtained from the previously inserted analyte sensor. In this way, the newly inserted sensor may be calibrated without relying on actual blood-based analyte measurements, and accuracy and sensitivity of the newly inserted sensor may be improved.


