Time-Varying Signal Filtering for Continuous Glucose Monitoring Noise
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Continuous analyte monitoring systems, such as continuous glucose monitoring, face challenges due to increasing noise levels over time caused by degradation of biosensor components and biofilm accumulation, leading to jittery and difficult-to-interpret signals.
Innovation Solution
Applying time-varying filtering to signals within the monitoring system to adaptively reduce noise by increasing filtering as the degradation and noise levels increase over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If continuous analyte monitoring is performed over an extended period, then real-time analyte concentration data is provided, but noise levels increase due to biosensor degradation and biofilm accumulation
Solution Approach 1:
The filter coefficient is made dynamic and time-varying, changing continuously based on the elapsed monitoring time. The filtering strength increases as the monitoring period extends, adaptively compensating for accumulating noise from biosensor degradation and biofilm formation without requiring manual intervention or system replacement.
2Measurement precision
If filtering is applied to reduce noise, then signal clarity improves, but signal accuracy may be compromised by over-smoothing
Solution Approach 1:
The filter coefficient parameter is dynamically adjusted based on monitoring time. Early in the monitoring period when noise is low, the filter coefficient is small to preserve signal accuracy. As monitoring continues and noise increases, the filter coefficient increases to maintain signal clarity, creating an optimal balance between these competing requirements throughout the monitoring period.
Data Source
Figure 1~2A
Figure 2B
Figure 3A~3B
AI summary
A method of filtering a signal in a continuous analyte monitoring (CAM) system includes applying time-varying filtering to the signal using a time-varying filter to generate a filtered continuous analyte' monitoring signal during an analyte monitoring period. Other methods, apparatus, continuous analyte monitoring devices, and continuous glucose monitoring devices are also disclosed.