Glucose Sensor Signal Artifact Replacement
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Solution Overview
Problem
Conventional glucose sensors face challenges in accurately detecting and reporting continuous blood glucose levels due to noise from electronic and diffusion-related system noise, leading to inaccurate data streams and delayed detection of hyperglycemic or hypoglycemic conditions in diabetic patients.
Innovation Solution
The system detects and processes signal artifacts caused by non-glucose reaction rate-limiting phenomena such as interfering species, ischemia, pH changes, temperature, and stress, using methods that include determining the amplitude and differential of signal artifacts, filtering data, and displaying graphical representations to provide accurate glucose measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional glucose sensors are used to detect continuous blood glucose levels, then real-time monitoring is achieved, but signal artifacts from electronic and diffusion-related noise degrade measurement accuracy
Solution Approach 1:
The patent extracts and removes signal artifacts from the glucose sensor data stream through detection and replacement processes. The system identifies artifact-containing data points and replaces them with estimated values, effectively separating the harmful noise from the useful glucose measurement signal.
Solution Approach 2:
The patent introduces an intermediary processing system between the glucose sensor and the final measurement output. This intermediary layer detects signal artifacts, estimates their magnitude, and replaces contaminated data points, acting as a mediator that protects the final measurement from noise degradation.
2Measurement precision
If signal artifact detection and replacement processing is applied, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent implements a self-service processing system where the glucose monitoring device automatically detects its own signal artifacts and replaces them without external intervention. The system uses its own historical data and physiological constraints to identify and correct errors autonomously.
Solution Approach 2:
The patent employs feedback mechanisms where the processed glucose measurements are continuously compared against physiological constraints and historical patterns. When deviations indicating artifacts are detected, the system adjusts by replacing those data points, creating a closed-loop feedback system that maintains accuracy.
Data Source
AI summary
Systems and methods for detecting noise episodes and processing analyte sensor data responsive thereto. In some embodiments, processing analyte sensor data includes filtering the sensor data to reduce or eliminate the effects of the noise episode on the signal.