Medical Telemetry Transmitter Temperature Compensation
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Solution Overview
Problem
Existing medical telemetry systems, such as glucose monitoring systems, face challenges in accommodating a wide range of analyte sensor sensitivities and require improved data processing and control mechanisms to ensure accurate and reliable data transmission and analysis.
Innovation Solution
A method and apparatus for data processing and control in medical telemetry systems, including a transmitter unit with temperature compensation and digital anti-aliasing filtering, and a receiver unit capable of detecting sensor insertion or removal, ensuring accurate glucose monitoring and minimizing data errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a wide range of analyte sensor sensitivities is accommodated, then manufacturing flexibility and design freedom are improved, but measurement precision and data reliability deteriorate
Solution Approach 1:
The transmitter unit dynamically adjusts processing parameters based on the specific sensitivity characteristics of each sensor. By changing parameters such as gain, filtering coefficients, and calibration factors according to the detected sensor sensitivity, the system maintains high measurement precision across a wide range of sensor types and manufacturing variations.
2Measurement precision
If temperature compensation is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
A temperature sensor acts as an intermediary element that measures the ambient or physiological temperature. The transmitter unit uses this temperature information as a compensating parameter to adjust the analyte level measurements, thereby improving accuracy without requiring complex hardware modifications to the sensor itself.
Solution Approach 2:
The system performs temperature measurement and compensation calculations in advance before final analyte level determination. By pre-processing temperature data and applying compensation algorithms beforehand, the system simplifies the overall processing pipeline while maintaining high measurement precision.
3Measurement precision
If digital anti-aliasing filtering is applied, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The digital anti-aliasing filter is applied periodically at strategically chosen points in the data acquisition cycle rather than continuously. By filtering data at specific intervals after sampling, the system achieves the necessary measurement precision while minimizing the cumulative energy consumption associated with continuous processing operations.
4Reliability
If sensor insertion or removal detection is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The transmitter unit continuously monitors data quality metrics and signal characteristics to detect sensor insertion or removal events. By implementing feedback loops that analyze incoming data streams for anomalies indicative of sensor status changes, the system improves reliability through automatic detection and response without requiring additional complex hardware sensors or mechanisms.
Data Source
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AI summary
Methods and apparatus for providing data processing and control for use in a medical communication system are provided.