Dynamic Probe Interface for Noninvasive Glucose Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current noninvasive glucose concentration analyzers face challenges in achieving accurate glucose estimations due to issues with probe design and patient interface, particularly in controlling the applied force, displacement, or pressure on the tissue sample, leading to inconsistent and inaccurate results.
Innovation Solution
A dynamic probe interface is developed where the sample probe moves in a controlled fashion relative to the tissue sample along the z-axis, allowing for controlled spectral variations and improved reproducibility in glucose concentration estimations by managing displacement and pressure applied during the sampling process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sample probe is held stationary relative to the tissue sample, then the device complexity is reduced, but spectral variations occur due to tissue displacement during sampling leading to measurement inaccuracy
Solution Approach 1:
The patent implements a dynamic probe interface where the sample probe moves in a controlled fashion relative to the tissue sample along the z-axis during sampling. This dynamic positioning system actively adjusts the probe position to maintain optimal spectral contact with the tissue, resolving the contradiction between measurement precision and device complexity by introducing controlled motion to eliminate spectral variations caused by tissue displacement.
2Reliability
If the sample probe applies constant pressure on the tissue sample, then the contact stability is improved, but spectral interference increases due to excessive pressure effects on the tissue
Solution Approach 1:
The patent employs parameter changes by dynamically adjusting the pressure applied by the sample probe to the tissue sample. Rather than maintaining constant pressure, the system modulates pressure levels during sampling to optimize contact stability while minimizing spectral interference effects. This allows the probe to adapt pressure based on real-time sampling conditions, resolving the contradiction between contact reliability and harmful spectral interference.
3Measurement precision
If the sample probe moves relative to the tissue sample during sampling, then spectral variations are controlled and measurement accuracy improves, but the device complexity increases due to additional control mechanisms
Solution Approach 1:
The patent implements feedback control in the dynamic probe interface system, where the movement and positioning of the sample probe are continuously adjusted based on real-time spectral data and sampling conditions. This feedback mechanism ensures that the probe maintains optimal position and pressure throughout the sampling process, improving measurement precision while managing device complexity through intelligent control rather than purely mechanical solutions.
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 approach enhances the accuracy and reproducibility of glucose concentration measurements, improving the reliability of noninvasive glucose monitoring by minimizing spectral interference and optimizing the sample probe's interaction with the tissue, thereby achieving clinically acceptable results.
Implementation Method 1
control spectral variations resulting from the sample probe displacement of the tissue sample during a sampling process
Data Source
AI summary
A method and apparatus are provided for noninvasive sampling. More particularly, the method and apparatus relate to control of motion of an optical sample probe interface relative to a tissue sample site. A dynamic probe interface, is used to collect spectra of a targeted sample, control positioning of the sample probe relative to the tissue sample in terms of at least one of x-, y-, and z-axes, and/or control of sample tissue displacement to minimize spectral variations resulting from the sampling process and increase analyte property estimation precision and accuracy.