Normalized Analyte Polygon Display for Readable Status Comparison
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Solution Overview
Problem
Current medical systems require professional interpretation to understand analyte indicators, making them difficult for users to comprehend.
Innovation Solution
An evaluation system that normalizes analyte indicators to a predetermined range, plots polygon patterns based on these indicators, and displays them for intuitive comparison with reference patterns, allowing users to assess their analyte status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple analyte indicators are used to evaluate user condition, then evaluation comprehensiveness is improved, but readability and user understanding deteriorate
Solution Approach 1:
The patent combines multiple analyte indicators (glucose, insulin, HbA1c, etc.) into a single integrated score called the Diabetes Management Score (DMS). This merging process transforms complex multi-dimensional data into one comprehensive metric that maintains evaluation comprehensiveness while dramatically improving readability and user understanding.
Solution Approach 2:
The patent employs color-coded visual representations for different analyte indicators and their corresponding scores. Colors such as green, yellow, and red are used to indicate different levels of analyte status, making the information immediately recognizable and understandable without requiring professional interpretation.
2Measurement precision
If professional interpretation is required for analyte indicators, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system enables users to independently evaluate their own analyte conditions through automated calculation of the Diabetes Management Score and generation of visual reports. The processor automatically computes scores based on input analyte data and provides interpretable outputs without requiring professional medical staff intervention, thus empowering users to perform self-assessment.
Solution Approach 2:
The patent introduces an intermediary processing layer that automatically translates complex analyte indicator data into simplified visual representations and scored evaluations. This intermediary system acts as a bridge between precise medical measurements and user-friendly interpretation, eliminating the need for users to directly interpret complex medical data.
3Adaptability or versatility
If multiple analyte indicators are normalized to a predetermined range, then comparability is improved, but device complexity increases
Solution Approach 1:
The patent applies parameter transformation by normalizing multiple different analyte indicators to a common score range (e.g., 0-100 or similar standardized scale). This parameter change enables direct comparison across different types of analyte data while maintaining the underlying precision of each measurement through mathematical transformation.
Data Source
AI summary
Some embodiments of the disclosure describe an evaluation system based on analyte data including a memory storing a program, a display, and a processor. In some examples, the processor is configured to: receive analyte data during a predetermined time period from an object to be tested, acquire a plurality of analyte indicators different from each other based on the analyte data, normalize the plurality of analyte indicators to a predetermined range to acquire a plurality of normalized analyte indicators, plot a polygon pattern corresponding to the analyte data during the first time period as a target polygon pattern, plot a polygon pattern corresponding to the analyte data during the second time period as a reference polygon pattern, and take a line segment between a vertex and a center point as an axis, and display the target polygon pattern and the reference polygon pattern.