Preconnected Analyte Sensor Self-Calibration for Sensitivity Drift
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Solution Overview
Problem
Conventional continuous analyte sensors, such as continuous glucose monitors, require frequent user interaction for calibration, leading to inaccuracies and inefficiencies due to sensor sensitivity changes over time and variability in manufacturing processes, which are not accounted for by initial factory calibration.
Innovation Solution
A preconnected analyte sensor system that integrates measurement electronics during manufacturing, allowing for continuous monitoring and calibration throughout the sensor's life cycle, including environmental condition tracking and data analysis to adjust calibration models dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If factory calibration is performed initially, then manufacturing precision is improved, but sensor accuracy deteriorates over time due to sensitivity changes
Solution Approach 1:
The sensor system automatically performs self-calibration using its own measurements and environmental data without requiring external reference measurements or user intervention. The processing circuitry analyzes the sensor's response to known environmental conditions and autonomously adjusts calibration parameters to maintain accuracy throughout the sensor's lifecycle.
Solution Approach 2:
The system continuously monitors environmental conditions (temperature, humidity, pressure) and uses this feedback to dynamically adjust calibration parameters. The processing circuitry correlates sensor responses with environmental data, detecting deviations and automatically compensating for sensitivity changes to maintain measurement accuracy.
2Measurement precision
If reference value checks are performed during use, then measurement precision is improved, but device complexity increases due to additional user interactions
Solution Approach 1:
The sensor system automatically performs self-calibration using its own measurements and environmental data without requiring external reference measurements or user intervention. The processing circuitry analyzes the sensor's response to known environmental conditions and autonomously adjusts calibration parameters to maintain accuracy throughout the sensor's lifecycle.
Solution Approach 2:
Environmental parameters (temperature, humidity, pressure) serve as intermediary variables that the system uses to infer and correct sensor calibration status. By monitoring these environmental factors, the system can detect calibration drift and automatically compensate without requiring direct reference measurements from the user.
3Manufacturing precision
If sensors are calibrated individually at factory, then manufacturing precision is improved, but productivity decreases due to time-consuming calibration checks
Solution Approach 1:
The system uses a universal calibration approach where environmental parameters serve as common reference points for all sensors. Instead of individualized calibration procedures, the same environmental monitoring and automatic adjustment mechanism applies to all sensors, simplifying the manufacturing process while maintaining accuracy.
Solution Approach 2:
The sensor system performs preliminary environmental characterization during manufacturing and stores this data for later use. By pre-capturing environmental baseline data and sensor responses under known conditions, the system reduces the need for time-consuming calibration checks during production, thereby increasing throughput while maintaining calibration quality.
Data Source
AI summary
Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.