Implantable Analyte Sensor Data Compression via Statistical Condensation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In-vitro systems for measuring analyte concentrations generate large volumes of data, making it difficult to store and transmit, and existing systems require frequent sensor replacements, which can be cumbersome for users with limited dexterity.
Innovation Solution
A system with a base station that subjects raw data from a connected sensor to statistical analysis to generate condensed data, reducing energy consumption and data volume for transmission, and a sensor carrier unit with a sealed housing for easy handling and wireless communication, allowing for continuous measurement with reduced user effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous measurement with high measuring rate is utilized, then measurement precision and currentness are improved, but data volume increases making transmission and storage difficult
Solution Approach 1:
The base station performs preliminary statistical analysis and condensation of raw measurement data before transmission. By pre-processing the data to extract essential information (condensed measuring data) while discarding redundant details, the system maintains measurement precision but significantly reduces data volume for transmission and storage
Solution Approach 2:
The system extracts only the most relevant information from raw measurement data through statistical analysis. The base station identifies and transmits only condensed measuring data that represents the essential analyte concentration trends, separating critical information from voluminous raw data
2Loss of information
If data transmission frequency is increased to maintain data currentness, then information freshness is improved, but energy consumption increases
Solution Approach 1:
The base station pre-processes and condenses data before transmission, reducing the amount of data that needs to be transmitted frequently. This preliminary condensation allows the system to maintain data currentness with less frequent transmissions, thereby reducing energy consumption
Solution Approach 2:
The system changes the parameter of data representation from raw measurement values to condensed statistical data. This parameter transformation reduces data size while preserving essential information, enabling more efficient transmission with lower energy requirements
3Duration of action of stationary object
If sensor replacement is required frequently to maintain measurement continuity, then measurement duration is improved, but ease of operation deteriorates due to user dexterity requirements
Solution Approach 1:
The base station is designed as a universal platform that can accommodate multiple sensors over extended periods. By enabling long-term operation with a single sensor and providing robust data management capabilities, the base station reduces the frequency of sensor replacements and simplifies user interaction
Solution Approach 2:
The system performs automatic data condensation, analysis, and management at the base station without requiring user intervention for sensor replacement or data processing. The automated operations maintain measurement continuity while eliminating complex user tasks
Data Source
AI summary
The analyte concentration, such as glucose, in a human or animal body is measured with an implantable sensor that generates measurement signals. The measurement signals are compressed through statistical techniques to produced compressed measurement data that can is easier to process and communicate. A base station carries the implantable sensor along with a signal processor, memory, and a transmitter. A display device is also disclosed that can receive the compressed measurement data from the base station for further processing and display.