Mobile Device Adjustment for Optical Test Strip Analysis
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Solution Overview
Problem
Existing analytical measurement methods using mobile devices face challenges such as high failure rates, time-consuming results, and user-specific handling issues due to varying physical and mental capabilities, leading to frustration and wastage of disposables like test strips.
Innovation Solution
An adjustment method for mobile devices that automatically adapts measurement modes by capturing images of optical test strips before and after sample application, checking for measurement rejection criteria, and adjusting settings to either a reduced or enhanced mode based on error analysis to improve user handling and measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If standard measurement mode with strict rejection criteria is used, then measurement accuracy is improved, but measurement failure rate increases
Solution Approach 1:
The measurement system dynamically adjusts the strictness of rejection criteria based on real-time analysis of measurement failures. The processor monitors rejection events and automatically modifies measurement parameters to balance accuracy requirements with success rate, creating a adaptive system that responds to actual performance data.
Solution Approach 2:
The system changes measurement parameters such as image capture settings, analysis thresholds, and rejection criteria based on analyzed failure patterns. By modifying these parameters in response to observed failures, the system optimizes the balance between maintaining high accuracy and reducing unnecessary rejections.
2Measurement precision
If multiple measurement attempts are required, then measurement accuracy is improved, but measurement time increases
Solution Approach 1:
The system implements feedback mechanisms where measurement results and rejection events are analyzed to provide guidance for subsequent measurements. This feedback loop helps users understand why measurements were rejected and what can be done differently, reducing the number of repeated attempts needed while maintaining accuracy.
Solution Approach 2:
The system automatically analyzes failure patterns and adjusts its own measurement parameters without requiring manual user intervention. This self-adjusting capability reduces the time users would otherwise spend on multiple measurement attempts by having the system learn from and correct its own performance issues.
3Ease of operation
If user-specific handling variations are accommodated, then ease of operation is improved, but measurement consistency deteriorates
Solution Approach 1:
The system applies different measurement criteria and processing approaches tailored to specific user behaviors and handling patterns. By analyzing individual user performance data, the system creates customized measurement protocols for each user, allowing accommodation of personal variations while maintaining consistent and accurate measurement results through personalized parameters.
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 method reduces failed measurements, enhances measurement reliability and accuracy, and adapts to user-specific preferences by providing corrective feedback, thus improving user experience and reducing test strip wastage.
Implementation Method 1
an optical test strip having a test field before and/or after sample application... based on a color formation reaction
Data Source
Figure 1
Figure 2~4
AI summary
The present invention refers to an adjustment method for adjusting a setup for an analytical method of determining a concentration of an analyte in a bodily fluid based on a color formation reaction in an optical test strip mobile device for performing analytical measurements. The invention further relates to a mobile device configured for performing the adjustment method, a computer program and a computer-readable storage medium for performing the adjustment method and a kit comprising a test strip or a dummy test strip and at least one of the mobile device, the computer program and the computer-readable storage medium. The method, device, computer program, storage media and kit specifically may be used in medical diagnostics, in order to for example qualitatively or quantitatively detect one or more analytes in one or more body fluids, such as for detecting glucose in blood and/or interstitial fluid. Other fields of application of the present invention, however, are feasible.