Vibration Motion Information Acquisition Through Frequency-Domain Filtering
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Solution Overview
Problem
Existing methods for obtaining motion information of vibrations in a medium are inefficient and require complex calculations, particularly in quantifying viscoelasticity of tissues or organs.
Innovation Solution
Perform frequency domain transformation on detection signals to remove signals outside a defined vibration velocity range, obtaining a position-time diagram without the need for motion estimation, using filtration or feature value selection to retain only relevant signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion estimation is performed on vibration propagation using conventional methods, then motion information can be obtained, but the calculation process becomes complicated and inefficient
Solution Approach 1:
The patent replaces the conventional mechanical motion estimation approach with a frequency domain signal processing method. By transforming the detection signal into the frequency domain and applying spectral estimation techniques, the system directly obtains vibration propagation characteristics without performing complex time-domain motion estimation calculations.
Solution Approach 2:
The patent changes the parameter domain from time domain to frequency domain. By performing Fourier transformation on the detection signal and analyzing the frequency spectrum, the system extracts motion information through frequency-based parameters (spectral centroid, bandwidth, etc.) rather than time-domain displacement and velocity calculations.
2Measurement precision
If comprehensive signal processing is performed to ensure accurate motion information, then measurement precision improves, but processing time increases
Solution Approach 1:
The patent extracts only the essential frequency domain features from the detection signal that are necessary for viscoelasticity quantification. By focusing on specific spectral parameters (such as dominant frequency, spectral density distribution) rather than performing complete time-domain motion analysis, the system reduces processing time while maintaining measurement precision.
Data Source
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AI summary
The present invention discloses a method and an apparatus for acquiring motion information. A frequency domain transformation is performed on a detection signal of a vibration propagating in a medium to obtain a frequency domain signal, then a signal that is outside of a defined vibration velocity range is removed from the frequency domain signal, that is, only a vibration signal is retained, and then a position-time diagram is obtained along a defined vibration propagation direction. It is not necessary to perform motion estimation on propagation of the vibration by a complicated calculation, and it is only necessary to determine the presence or absence of the vibration by processing in the frequency domain, and then the position-time diagram is obtained, which is a highly efficient method for acquiring motion information.