Sensor Measurement Data Storage Using Relative Values
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Solution Overview
Problem
Continuous glucose monitoring systems face challenges in efficiently storing large amounts of measurement data due to limited memory capacity, high storage costs, and the need for lossless compression methods that are time-consuming and memory-intensive, making it difficult to compress data 'on-the-fly' without losing integrity.
Innovation Solution
A method and system that store relative measurement values instead of absolute values, using a processor to determine value differences and assign smaller storage sizes, with an indicator to reconstruct original values, allowing for efficient data compression and reduced memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If lossless compression algorithms are used to compress measurement data, then storage space is reduced, but processing time increases and the algorithms require significant memory resources
Solution Approach 1:
The patent extracts only the essential information needed for reconstruction (difference values and minimum values) rather than storing complete original data. This selective extraction achieves compression without requiring complex algorithms, thus reducing processing time while maintaining data integrity.
Solution Approach 2:
Instead of using complex compression algorithms, the patent creates a simplified copy of the data in a differential format. The original measurement values are replaced by difference values relative to minimum values, which can be easily stored and later reconstructed into the original data without loss.
2Loss of information
If more measurement parameters are recorded in memory, then data completeness for problem analysis is improved, but memory capacity is exhausted quickly
Solution Approach 1:
The patent changes the parameter representation from absolute measurement values to differential values (differences relative to minimum values). This transformation reduces the storage requirements for each parameter while preserving all necessary information for complete data reconstruction and problem analysis.
3Speed
If RAM storage is used for measurement data, then data can be written and erased quickly as required, but cost per bit is higher and data is lost upon battery failure
Solution Approach 1:
The patent performs preliminary compression of measurement data into a compact differential format before storage. This pre-processing reduces the overall data volume, making it feasible to use slower but more reliable and cost-effective permanent memory (Flash/EEPROM) for storage, while still maintaining acceptable write speeds for the reduced data size.
Data Source
AI summary
A method for storing measurement data detected by a sensor and indicative of an analyte in a body fluid sample using a system having a processor and a memory. First and second measurement data indicative of first and second measurement values measured by a sensor, respectively, are provided. A relative measurement value is determined by the processor and is indicative of a value difference between the first and second measurement values. The first measurement value is stored in a first storage area having a first storage size in the memory. The relative measurement value is stored in a second storage area having a second storage size in the memory that is smaller than the first storage size. An indicator is also stored in the memory and is assigned to the relative measurement storage data in the memory and is indicative of a characteristic of the relative measurement storage data.