Adaptive Analyte Range Limits for Mobile Health

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Solution Overview

Problem

Existing methods for determining analyte concentrations in bodily fluids using mobile devices face challenges in reliability and safety, particularly when user-specific target ranges are centered along app category boundaries, leading to erratic results.

Innovation Solution

A method that individualizes analyte value ranges by determining numerical analyte result values from images of color formations on reagent test regions using mobile devices, and adapting range limit values based on previous measurement results to improve categorization accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If fixed analyte value ranges are used for categorization, then the device complexity is low and ease of operation is high, but the reliability deteriorates when user-specific target ranges are centered along category boundaries

Engineering Contradiction:
Improvecategorization reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic adjustment of analyte value range limits based on individual user characteristics and measurement history. The system transitions from static, fixed category boundaries to dynamic boundaries that adapt to each user's specific target ranges and physiological patterns, thereby improving categorization reliability without requiring complex manual configuration by the user.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system automatically determines and adjusts analyte value ranges based on user-specific data and measurement results without requiring manual intervention. The processing device autonomously analyzes individual user characteristics and adapts the categorization ranges, enabling the system to self-optimize for each user while maintaining ease of operation.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If standardized analyte value ranges are used, then the ease of manufacture is high and device complexity is low, but the measurement precision deteriorates for individual users with specific target ranges

Engineering Contradiction:
Improvecategorization accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies local quality by customizing analyte value ranges for each individual user based on their specific characteristics and target ranges. Instead of using a uniform categorization system for all users, the system tailors the value ranges to match each user's physiological needs and goals, thereby improving measurement precision for individual users while maintaining a standardized platform architecture.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically changes the parameter values defining analyte concentration categories based on individual user data. The processing device adjusts the upper and lower limits of analyte value ranges to optimize categorization accuracy for each user, transforming fixed parameters into adaptive parameters that respond to individual user characteristics.

Inventive Principle:
Principle #35Parameter changes

3Reliability

If fixed range limit values are used, then the ease of operation is high, but the reliability deteriorates due to erratic category switching when target ranges are centered along boundaries

Engineering Contradiction:
Improvecategorization consistencyVSAvoiduser operation simplicity
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system implements dynamic range limit values that automatically adjust to prevent category switching errors. By making the boundaries adaptive rather than fixed, the system eliminates erratic categorization behavior while maintaining operational simplicity for the user, as the adjustments occur automatically without requiring user intervention.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses feedback from user-specific measurement data and target range information to continuously optimize the analyte value ranges. The processing device analyzes measurement results and user characteristics, then adjusts the range limits accordingly, creating a feedback loop that improves categorization consistency while keeping the user interface simple and intuitive.

Inventive Principle:
Principle #23Feedback

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

The method enhances the reliability and safety of analyte concentration measurements by adapting range limit values to better suit individual subjects' typical concentrations, reducing measurement errors and providing more consistent results.

Implementation Method 1

Several test elements are known in the art which comprise at least one test chemical, also referred to as a test reagent, which undergo a coloration reaction in the presence of the at least one analyte to be detected.

Methodology Applied
Scientific EffectColoration reaction:

Data Source

PatentUS20250035558A1Method of individualizing analyte value ranges used to categorize a concentration of an analyte
Publication Date: 2025.01.30 ROCHE DIABETES CARE INC
  • US20250035558A1 patent drawing
  • US20250035558A1 patent drawing

AI summary

A method of individualizing analyte value ranges used to categorize a concentration of an analyte in a sample of a bodily fluid of a subject applied to a reagent test region and determined using a mobile device having a processing device, as well as a corresponding computer program, a non-transitory computer-readable storage medium with corresponding instructions, a corresponding mobile device, and a corresponding kit. The method comprises the steps of determining a numerical analyte result value from an image of a color formation of the reagent test region, attributing the numerical analyte result value to a corresponding analyte value range, and adapting one or more range limit values based on a plurality of numerical analyte result values previously determined for different samples of the subject's bodily fluid taken at different points in time.