CGM Measurement Data Storage Using Relative Value Compression
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Solution Overview
Problem
Existing continuous glucose monitoring (CGM) systems face challenges in efficiently storing large amounts of measurement data over extended periods, leading to memory storage issues and increased costs due to the need for substantial memory capacity.
Innovation Solution
A method and system for storing measurement data that involves determining a relative measurement value by comparing first and second measurement values, storing the relative measurement value in a smaller memory area, and using an indicator to characterize the storage data, thereby reducing the overall storage size required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all measurement data are stored in full detail in memory, then data completeness and reliability are improved, but memory storage capacity is quickly exhausted and costs increase
Solution Approach 1:
The patent changes the parameter of data representation from storing absolute measurement values to storing relative measurement values (differences from previous values). This parameter transformation significantly reduces the memory storage capacity required while maintaining the ability to reconstruct complete data sequences, thereby resolving the contradiction between data completeness and memory capacity.
Solution Approach 2:
Instead of storing complete measurement data directly, the system creates a compressed representation (relative values) that can be used to reconstruct the original data. This copying approach with transformation allows efficient storage while preserving data integrity for analysis purposes.
2Quantity of substance
If measurement data are compressed using lossless algorithms, then storage space is reduced, but processing time increases due to dictionary analysis requirements
Solution Approach 1:
The patent applies a simple parameter transformation (calculating differences between consecutive measurement values) rather than complex lossless compression algorithms that require dictionary analysis. This approach achieves significant storage space reduction while minimizing processing time, as the transformation is computationally straightforward and can be performed in real-time.
3Reliability
If more memory is allocated to store all parameters, then data retention and analysis capability are improved, but device cost increases due to higher memory component costs
Solution Approach 1:
By transforming measurement data into relative values, the patent reduces the memory capacity required by a factor of 5-10 times compared to storing absolute values. This allows the use of lower-cost memory components while maintaining sufficient data retention capability for clinical analysis, thereby reducing device manufacturing costs without sacrificing reliability.
4Speed
If RAM is used for storage, then write speed and erasure flexibility are improved, but cost per bit is higher and data is lost on battery failure
Solution Approach 1:
The patent's relative value compression reduces the total data volume stored in memory by 5-10 times. This means that even using slower, more expensive permanent memory (Flash/EEPROM), the actual amount of data to be written and stored is minimal, making the write speed penalty negligible and the cost per bit acceptable for disposable devices.
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.


