Robotic Handling Cycles for Reproducible Glucose Meter Evaluation
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Solution Overview
Problem
Handheld blood glucose meters face reproducibility issues due to variations in 'human factors' such as timing, force exertion, and skin impurities, making it difficult to identify influencing parameters on measurement accuracy.
Innovation Solution
A robot with programmed handling cycles mimics human operation steps to evaluate the quality of handheld analytical devices, using an artificial finger to apply sample fluid with precise movements, and a control unit to monitor parameters influencing device accuracy, allowing for standardized and reproducible human factor studies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human users operate the handheld blood glucose meter manually, then the device can be used in real-world conditions with various user states, but individual variations in timing, force, and technique reduce measurement reproducibility and make it difficult to identify quality-influencing parameters
Solution Approach 1:
The patent creates a robotic copy of human hand operations to perform standardized handling steps. The robot arm replicates human actions such as applying sample fluid, inserting test elements, and operating buttons with precise, repeatable movements. This copying approach eliminates human variability while maintaining realistic interaction scenarios, thereby improving measurement reproducibility and enabling systematic quality evaluation.
Solution Approach 2:
The system systematically varies specific parameters such as timing, force, and sequence of operations to identify their influence on measurement quality. By controlling and adjusting these parameters in a structured manner through the robotic system, the patent can determine which parameters most significantly affect device performance and measurement accuracy.
2Measurement precision
If standardized handling procedures are implemented to improve reproducibility, then measurement consistency improves, but the ability to simulate real-world user variations and impairments is reduced
Solution Approach 1:
The robotic system is designed to be dynamically adjustable, allowing it to switch between standardized handling modes and modes that simulate various user impairments. The robot can adapt its movement characteristics to represent different user groups, including elderly users with reduced dexterity, users with tremors, and those with visual impairments. This dynamic capability enables comprehensive testing while maintaining measurement consistency through controlled variation.
Solution Approach 2:
The robotic handling system serves multiple functions: it performs standardized operations for baseline testing, simulates various user impairments, and identifies critical quality parameters. This multi-functional design allows a single system to address both reproducibility requirements and the need to evaluate device performance across diverse user scenarios.
3Adaptability or versatility
If manual testing by multiple human operators is used to evaluate device quality under various conditions, then real-world usage scenarios are covered, but time consumption and variability in results increase
Solution Approach 1:
The robotic system performs quality evaluation autonomously without requiring multiple human operators. The robot independently executes handling cycles, monitors measurements, and collects data across various scenarios. This self-service capability dramatically reduces time consumption while maintaining comprehensive scenario coverage, as the robot can operate continuously without fatigue or breaks.
Solution Approach 2:
The robotic system enables continuous operation for quality evaluation, performing handling cycles without interruption. Unlike manual testing where operators need breaks and coordination, the robot can maintain continuous operation, systematically working through various test scenarios and accumulating data efficiently over extended periods.
Data Source
AI summary
This disclosure concerns a method and a system for quality evaluation of a handheld analytical device, wherein the device is operable by a human user in a sequence of handling steps to test an analyte in a sample fluid applied on a test element, the method comprising the steps of (a) programming a handling cycle for a robot having at least one robot arm in order to mimic the sequence of handling steps, (b) operating the device in at least one handling cycle by means of the robot, (c) monitoring the operation in step (b) by a control unit to evaluate at least one parameter influencing the quality of the device.