Continuous Glucose Sensor Calibration via Reference Matching
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Solution Overview
Problem
Conventional methods for monitoring blood glucose levels in diabetic patients are invasive, uncomfortable, and provide inadequate real-time data, leading to delayed detection of hyperglycemic or hypoglycemic conditions.
Innovation Solution
A method and system for calibrating analyte sensors, which involves receiving sensor data from an analyte sensor and reference data from a reference analyte monitor, matching data points, converting data into estimated analyte values, and displaying these values within a specified time frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional self-monitoring blood glucose (SMBG) methods are used, then the measurement process is simple and requires minimal equipment, but the frequency of measurement is insufficient (only 2-4 times per day) and real-time glucose trends cannot be detected
Solution Approach 1:
The patent replaces the mechanical finger-pricking SMBG method with an implantable electrochemical sensor system that continuously measures glucose in interstitial fluid. This substitution enables continuous real-time monitoring (productivity improvement) while the sensor is implanted once, eliminating the need for repeated mechanical punctures.
Solution Approach 2:
The implantable sensor system performs automatic continuous glucose measurement without requiring repeated user intervention. The sensor autonomously collects glucose data from interstitial fluid and transmits it to external receivers, providing self-service monitoring that dramatically increases measurement frequency compared to manual SMBG.
2Duration of action of moving object
If implantable glucose sensors are used for continuous monitoring, then real-time glucose data can be obtained, but the sensors suffer from complications within the body and provide only short-term accurate sensing
Solution Approach 1:
The patent implements a sensor warm-up period and pre-calibration phase before the sensor is fully activated for continuous monitoring. This preliminary action allows the sensor to stabilize and establish baseline readings, ensuring long-term reliability and accuracy throughout the extended monitoring duration.
Solution Approach 2:
The patent employs dynamic calibration parameters and adjustment mechanisms that adapt to changes in sensor performance over time. By modifying calibration parameters based on reference glucose measurements and sensor drift detection, the system maintains measurement accuracy throughout the extended operational duration of the implantable sensor.
3Ease of operation
If transdermal sensors are used for continuous glucose sensing, then non-invasive monitoring is achieved, but the sensors fail to accurately sense and report glucose values continuously over extended periods
Solution Approach 1:
The patent replaces transdermal optical sensing mechanisms with an implantable electrochemical sensor that directly contacts interstitial fluid. This substitution provides reliable continuous chemical measurement of glucose while maintaining ease of operation through a minimally invasive implantation procedure that is simpler than repeated transdermal applications.
4Measurement precision
If sensor calibration is performed using matched data pairs from reference analyte monitors, then measurement accuracy is improved, but time delays in processing and displaying results may occur
Solution Approach 1:
The patent performs sensor calibration during manufacturing or initial implantation by matching sensor readings with reference analyte monitor values. This preliminary calibration establishes baseline accuracy parameters that enable the sensor to provide accurate glucose measurements without requiring repeated calibration processing, thus maintaining measurement precision while minimizing time delays.
Solution Approach 2:
The patent implements a feedback mechanism where sensor readings are continuously compared with reference glucose values obtained from periodic SMBG measurements. This feedback allows for real-time verification and adjustment of sensor accuracy, ensuring measurement precision while providing timely glucose information to the user.
Data Source
AI summary
Systems and methods for processing sensor data are provided. In some embodiments, systems and methods are provided for calibration of a continuous analyte sensor. In some embodiments, systems and methods are provided for classification of a level of noise on a sensor signal. In some embodiments, systems and methods are provided for determining a rate of change for analyte concentration based on a continuous sensor signal. In some embodiments, systems and methods for alerting or alarming a patient based on prediction of glucose concentration are provided.