Test Strip Adaptor Image Analysis for Privacy and Versatility
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Solution Overview
Problem
Patients with chronic diseases need to carry multiple in-vitro diagnosis (IVD) devices for various test strips, and existing IVD systems lack privacy protection, making it cumbersome and insecure to capture and analyze images of test strip reaction areas for determining biological properties.
Innovation Solution
A method and system that processes images captured by a mobile device to determine biological properties associated with test strips, including sensitive information protection by overwriting images containing personal data and identifying characteristic configurations for accurate property determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If patients carry multiple standalone IVD devices for different test strips, then they can perform various biological tests, but it becomes cumbersome and inconvenient to manage multiple devices
Solution Approach 1:
The mobile computing device serves as a universal platform that can work with multiple types of test strips through a standardized adaptor interface. The image processing system can analyze different test strip configurations (single well, dual well, multi-well) to determine various biological properties, replacing the need for multiple specialized devices while maintaining versatility across different test types.
2Measurement precision
If existing IVD systems capture and save images of test strip reaction areas, then biological properties can be determined, but privacy-sensitive information may be exposed
Solution Approach 1:
The system extracts only the necessary analytical information from the captured image through image processing algorithms, separating the useful biological data from the sensitive personal information. The image processing determines test strip configuration and biological properties without permanently retaining the original image containing privacy-sensitive content, thus extracting value while removing harm.
Solution Approach 2:
The system processes the captured image to extract biological property information, then discards the original image file after analysis. This approach recovers the useful biological data while eliminating the privacy risk by destroying the sensitive image, allowing measurement precision without long-term privacy exposure.
3Ease of operation
If a single mobile device is used to process test strip images, then device portability improves, but the system must handle diverse test strip configurations and types
Solution Approach 1:
The image processing system automatically detects and adapts to different test strip configurations by analyzing image parameters such as well arrangement patterns, colorimetric responses, and optical characteristics. This allows a single mobile device to handle diverse test strip types without requiring manual configuration or complex user intervention, managing diversity through automated parameter-based adaptation.
Data Source
AI summary
A method to process an image to determine a biological property associated with a test strip (221, 313, 323, 333, 413, 423, 513, 523) in a test strip adaptor (120, 220, 620, 720). The method includes receiving the image captured by a mobile computing device (100, 600, 700) and determining whether the received image includes sensitive information. In response to determining that the image includes sensitive information, the method further includes overwriting the image with a later received image before the image can be saved as a file. In response to determining that the image does not include sensitive information, the method further includes identifying a characteristic configuration associated with the test strip (221, 313, 323, 333, 413, 423, 513, 523) and determining the biological property based on the image and the characteristic configuration.