Mobile App Visual Indicator Recognition for Immunoassay Analysis
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Solution Overview
Problem
There is a need for a system and method to effectively store and provide access to biologic data from medical tests, particularly for immunoassay tests, which can have various uses beyond the initial test and require efficient data management and analysis for determining medical conditions.
Innovation Solution
A mobile device application and server system that recognizes test function indicators on immunoassay test strips, processes images of the test results, normalizes RGB values, and compares them to control values to provide a risk indicator for medical conditions, enabling efficient data storage and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mobile device application is used to provide multiple medical test functions, then the versatility and adaptability of the system is improved, but the device complexity and difficulty of operation increase
Solution Approach 1:
The mobile device application is designed to provide multiple medical test functions within a single platform, allowing one application to perform various medical tests rather than requiring separate applications for each test type. This multi-functional approach improves versatility while managing complexity through unified architecture.
Solution Approach 2:
The system enables automated image capture, processing, and analysis without requiring manual intervention for each test parameter. The application automatically captures images of test devices, processes the visual data, and generates results, reducing the operational burden on users despite the multiple functions available.
2Measurement precision
If image processing with RGB value normalization is implemented, then the measurement precision of test results is improved, but the use of energy and computational resources increases
Solution Approach 1:
The system transforms raw RGB color values from captured images into normalized parameters that represent specific medical test results. By changing the parameter representation from raw pixel data to normalized medical indicators, the system achieves precise measurement while optimizing computational efficiency through standardized transformation algorithms.
3Loss of information
If biologic data is stored and made accessible for later use, then the value and utility of the data is improved, but the device complexity and data management requirements increase
Solution Approach 1:
The system combines test result data with biologic sample information into a unified data structure that can be stored and retrieved together. This merging of related data elements improves data utility for later analysis while reducing the complexity of managing separate data systems.
Solution Approach 2:
The system enables retrieval and re-analysis of stored biologic data and test results, providing feedback mechanisms where previous test data can be compared with new results. This feedback capability enhances the utility of stored data for longitudinal analysis and pattern recognition.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution allows for immediate and accurate determination of medical test results, including pregnancy and disease risk assessments, facilitating timely medical attention and efficient data management for biologic samples.
Implementation Method 1
obtain an image of the testing device; determine RGB values for a plurality of pixels of the image
Implementation Method 2
normalize the RGB values into a single value, compare the single value to a control value stored on the server
Data Source
AI summary
A method for image analysis of medical test results, comprising receiving information from a mobile device application regarding a test performed using a testing device, wherein the testing device includes a plurality of immunoassay test strips and at least one test function indicator on a surface thereof, wherein the mobile device application is configured to recognize the at least one test function indicator to trigger performance of one or more of the plurality of medical test functions, receiving at the server an image of the testing device from the mobile device application, determining by the server RGB values for a plurality of pixels of the image, normalizing by the server the RGB values into a single value, comparing the single value to a control value, and providing by the server a risk indicator, wherein the risk indicator indicates a likelihood of a presence of a medical condition.