Analyte Monitoring Biosignal Correction for Negative Intercept Noise
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Solution Overview
Problem
Existing continuous glucose monitoring systems (CGMS) suffer from noise interference in glucose-related biosignals due to the human body recognizing the inserted sensor as a foreign substance and being affected by electromagnetic waves, leading to a negative intercept phenomenon in glucose measurements, which conventional methods inadequately compensate with fixed offset values.
Innovation Solution
A method is employed to generate a corrected biosignal by applying weights to the corresponding time point biosignal and an ideal signal, using a high pass filter to process noise in real time, and determining the input data based on preset conditions, eliminating the need for external compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed offset value is used to compensate for negative intercept phenomenon, then the compensation process is simple, but the compensation accuracy deteriorates due to excessive or insufficient compensation
Solution Approach 1:
The patent applies dynamics by transitioning from a static fixed offset value to a dynamic adaptive offset value that automatically adjusts based on the biosignal characteristics. The system calculates the offset value in real-time using the relationship between the measured biosignal and the actual glucose concentration, enabling the compensation parameter to adapt to changing conditions and maintain measurement accuracy throughout the monitoring period.
Solution Approach 2:
The patent implements feedback by using the measured biosignal and corresponding glucose concentration data to continuously update and refine the offset value. The system feeds back the measurement results to adjust the compensation parameter, creating a closed-loop system that learns from actual performance and improves accuracy over time without requiring manual intervention.
2Measurement precision
If a fixed offset value is continuously input from outside to compensate for negative intercept phenomenon, then the compensation can be applied, but the operation convenience deteriorates due to the need for continuous external input
Solution Approach 1:
The patent applies self-service by enabling the system to automatically calculate and apply the offset value without requiring continuous external input. The device uses its own measured biosignal data and stored glucose concentration information to autonomously determine the appropriate compensation parameter, making the system self-sufficient and eliminating the burden of manual parameter input while maintaining accurate baseline compensation.
3Duration of action of moving object
If noise is introduced into glucose-related biosignals due to foreign substance recognition and electromagnetic waves, then the sensor can be inserted into the body for continuous monitoring, but the measurement precision deteriorates due to the negative intercept phenomenon
Solution Approach 1:
The patent applies the extraction principle by separating and removing the noise component from the biosignal. The system identifies and extracts the offset value representing the negative intercept phenomenon caused by foreign substance recognition and electromagnetic interference, then removes this extracted component from the measured signal to obtain a cleaner, more accurate glucose concentration measurement.
Data Source
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AI summary
According to an embodiment, there may be provided a method of deriving biometric data of a specific time point displayed on a terminal of an analyte monitoring system including acquiring a corresponding time point biosignal, which is a biosignal of a time point corresponding to the specific time point, generating a corrected biosignal from the corresponding time point biosignal when the corresponding time point biosignal satisfies a preset condition, determining any one of the corresponding time point biosignal and the corrected biosignal as input data, and deriving biometric data of the specific time point using the input data.