Medical Sensor Data Processing for Accuracy and Reliability
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Solution Overview
Problem
Existing analyte monitoring systems face challenges in providing flexible data processing and control for a wide range of sensor sensitivities, which can affect the accuracy and reliability of glucose monitoring and other analyte measurements.
Innovation Solution
A method and apparatus for detecting signal streams from transcutaneously positioned analyte sensors, monitoring for predetermined conditions, and outputting notifications for adverse data conditions, including the use of digital anti-aliasing filtering, sensor insertion detection, and ambient temperature compensation, to ensure data quality and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wide range of sensor sensitivities is accommodated for manufacturing flexibility, then manufacturing versatility is improved, but measurement precision deteriorates due to variability in data quality
Solution Approach 1:
The system dynamically adjusts processing parameters based on detected sensor conditions. The transmitter unit monitors signal characteristics and modifies filtering, sampling rates, and processing algorithms to optimize data quality for each specific sensor sensitivity, thereby maintaining measurement precision across manufacturing variations
Solution Approach 2:
The system implements continuous feedback monitoring of signal quality metrics and sensor performance parameters. Based on this feedback, the system automatically adjusts processing settings and notifies users of adverse conditions, ensuring consistent data quality regardless of sensor sensitivity variations
2Reliability
If real-time monitoring and notification systems are implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The transmitter unit performs multiple functions including signal acquisition, anti-aliasing filtering, data processing, condition monitoring, and notification generation within a single integrated device. This multi-functionality improves reliability through continuous monitoring while minimizing the increase in device complexity by consolidating operations
Solution Approach 2:
The system automatically detects adverse data conditions and generates notifications without requiring external intervention. The transmitter unit self-monitors signal quality, identifies problems, and communicates status to the user, enhancing reliability while keeping the system relatively simple through autonomous operation
3Measurement precision
If digital anti-aliasing filtering and data processing are applied, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system applies digital filtering and processing operations at optimized intervals rather than continuously. The anti-aliasing filter and data processing algorithms are executed periodically at rates matched to the signal characteristics and monitoring requirements, maintaining measurement precision while reducing overall energy consumption
Solution Approach 2:
The system applies processing intensity dynamically matched to actual needs. When signal conditions are good, minimal processing is applied. When adverse conditions are detected, enhanced processing is activated temporarily, maintaining accuracy when needed while conserving energy during normal operation
Data Source
AI summary
Methods and apparatus for providing data processing and control for use in a medical communication system are provided.