Glucose Sensor Calibration via Time Lag Compensation
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Solution Overview
Problem
Conventional glucose sensors for diabetes management are plagued by inaccuracies and discomfort, leading to delayed detection of hyperglycemic or hypoglycemic events due to infrequent monitoring and short-term, less-than-accurate glucose readings.
Innovation Solution
A method and system for calibrating glucose sensor data by matching reference glucose values with sensor glucose values, compensating for time lags, and displaying estimated analyte values within minutes, enabling real-time monitoring and immediate calibration to ensure accurate glucose level tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional self-monitoring blood glucose (SMBG) methods are used, then the diabetic can obtain glucose readings, but the frequency is limited to 2-4 times per day due to discomfort and inconvenience
Solution Approach 1:
The patent replaces the mechanical finger-pricking method with a continuous glucose sensor that uses electrochemical detection in interstitial fluid. This substitution eliminates the discomfort and inconvenience of repeated needle insertions while enabling continuous monitoring without user intervention.
Solution Approach 2:
The continuous glucose sensor system performs self-service by automatically monitoring glucose levels without requiring user action. The sensor continuously measures interstitial glucose and the system automatically processes and displays the data, freeing the user from the manual task of frequent blood sampling.
2Loss of time
If continuous glucose sensing is implemented, then real-time glucose monitoring is achieved, but accuracy and reliability are compromised due to short-term operation and complications
Solution Approach 1:
The patent implements a two-stage calibration process where initial calibration occurs before sensor implantation using blood glucose values, and subsequent calibration occurs after implantation using interstitial glucose values. This preliminary and sequential calibration ensures the sensor is properly calibrated for each measurement environment, improving accuracy while maintaining continuous operation.
Solution Approach 2:
The system continuously compares sensor-measured interstitial glucose values with reference blood glucose values and automatically adjusts calibration parameters. This feedback mechanism maintains accuracy over extended periods by compensating for sensor drift and biological variations, ensuring reliable long-term operation.
3Measurement precision
If sensor data is calibrated using reference values, then accuracy is improved, but time lag between reference and sensor measurements reduces real-time monitoring capability
Solution Approach 1:
The patent implements periodic calibration at predetermined time intervals rather than requiring continuous reference measurements. This approach maintains measurement accuracy by regularly updating calibration parameters while minimizing the time lag impact, as the sensor operates continuously between calibration points using its own measurements.
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.