Viscoelasticity Quantification via Angle Projection
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Solution Overview
Problem
Current methods for quantifying viscoelasticity of a medium are inefficient and inaccurate, particularly in medical testing, as they rely on selecting feature points from position-time graphs, which are prone to noise and have high calculation complexity.
Innovation Solution
A method and device that obtain a position-time graph of vibration propagation after excitation, perform angle projection to determine the angle with maximum signal energy, and calculate the slope of the position-time graph to derive the viscoelasticity parameter, filtering out reflected waves and using integral calculation or gray-level co-occurrence matrices for accurate results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If feature points are selected from position-time graphs to calculate slope, then viscoelasticity quantification can be performed, but the method is prone to noise and has high calculation complexity
Solution Approach 1:
The patent extracts only the essential information needed for slope calculation by performing angle projection to obtain a one-dimensional signal from the two-dimensional position-time graph. This extraction process removes unnecessary data and complexity while retaining the critical propagation velocity information, thereby reducing calculation burden and improving robustness against noise.
Solution Approach 2:
The patent replaces the traditional mechanical approach of manually selecting feature points and calculating slopes with an automated signal processing approach using angle projection and integral calculation. This substitution eliminates manual intervention and reduces sensitivity to noise by using mathematical integration over the entire signal rather than discrete point selection.
2Productivity
If feature points are selected from position-time graphs to calculate slope, then viscoelasticity quantification can be performed, but the method has high calculation complexity
Solution Approach 1:
The patent extracts only the essential information needed for slope calculation by performing angle projection to obtain a one-dimensional signal from the two-dimensional position-time graph. This extraction process removes unnecessary data and complexity while retaining the critical propagation velocity information, thereby reducing calculation burden and improving robustness against noise.
Solution Approach 2:
The patent replaces the traditional mechanical approach of manually selecting feature points and calculating slopes with an automated signal processing approach using angle projection and integral calculation. This substitution eliminates manual intervention and reduces sensitivity to noise by using mathematical integration over the entire signal rather than discrete point selection.
3Measurement precision
If traditional methods are used to select feature points, then viscoelasticity can be measured, but the results are affected by noise
Solution Approach 1:
The patent performs preliminary signal processing through angle projection and integral calculation before the final slope determination. By integrating the signal over the entire duration and then finding the angle with maximum energy, the method prepares the data in a form that is inherently more robust to noise, preventing noise from affecting the final measurement.
Solution Approach 2:
The patent extracts only the essential information needed for slope calculation by performing angle projection to obtain a one-dimensional signal from the two-dimensional position-time graph. This extraction process removes unnecessary data and complexity while retaining the critical propagation velocity information, thereby reducing calculation burden and improving robustness against noise.
Data Source
AI summary
A method for quantifying viscoelasticity of a medium includes: obtaining a position-time graph of vibration propagation after the medium is subjected to a vibration excitation, determining an angle with maximum signal energy in the position-time graph by using angle projection, where the angle with the maximum signal energy corresponds to a slope of the position-time graph and the slope of the position-time graph is the propagation velocity of the vibration in the medium. Since the propagation velocity of the vibration in the medium is related to the viscoelasticity of the medium, a viscoelasticity parameter of the medium can be quantitatively calculated after the slope of the position-time graph is obtained. The method does not need to select a feature point from the position-time graph to calculate the slope of the position-time graph, and can efficiently and accurately quantifies viscoelasticity of the medium.


