Medical Analyte Signal Processing for Variable Sensor Sensitivity
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Solution Overview
Problem
Existing analyte monitoring systems face challenges in accommodating a wide range of sensor sensitivities and require improved data processing and control methods to enhance accuracy and flexibility.
Innovation Solution
A method and apparatus for receiving and processing analyte level signals, comparing them to predefined ranges, and modifying trend information based on these comparisons, including features like digital anti-aliasing filtering, sensor insertion detection, and temperature compensation to improve data integrity and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wide range of sensor sensitivities is accommodated, then manufacturing flexibility is improved, but measurement precision deteriorates
Solution Approach 1:
The system dynamically adjusts processing parameters including gain values, filtering coefficients, and threshold levels based on the detected sensor sensitivity. The transmitter unit modifies these parameters in real-time to optimize the relationship between sensor output and expected analyte levels, thereby maintaining measurement precision across varying sensor sensitivities.
Solution Approach 2:
The patent implements dynamic parameter adjustment where the system adapts its processing characteristics based on the actual sensor performance. The transmitter unit continuously monitors sensor responses and modifies filtering, amplification, and threshold parameters dynamically, transforming a static system into one that automatically optimizes for each sensor's unique characteristics.
2Measurement precision
If complex data processing is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The data processing function is divided into distinct stages: signal acquisition by the sensor, preliminary filtering and amplification by the transmitter unit, and further processing including threshold comparison and trend analysis by the receiver/monitor unit. This segmentation allows complex processing to be distributed across multiple components, reducing the complexity burden on any single device while maintaining overall precision.
Solution Approach 2:
The transmitter unit acts as an intermediary between the sensor and the receiver/monitor unit, performing initial signal conditioning, filtering, and parameter adjustment. This intermediary processing reduces the complexity of tasks required at the receiver端, as the signal arriving at the monitor is already pre-processed and optimized.
3Measurement precision
If signal filtering is applied, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The filtering parameters are made dynamic rather than fixed, allowing the system to adjust the degree of filtering based on signal characteristics and operational conditions. This dynamic adjustment optimizes the balance between noise reduction and signal detail preservation, reducing information loss while maintaining precision.
Solution Approach 2:
The system modifies filtering coefficients, cutoff frequencies, and other processing parameters based on the detected signal characteristics and sensor sensitivity. By adapting these parameters, the filtering process becomes more selective and less likely to remove important signal information, thereby reducing information loss.
Data Source
AI summary
Methods and apparatus for providing data processing and control for use in a medical communication system are provided.