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A Pulse Signal Denoising Method Based on Enhanced Gaussian Redundancy Dictionary

A pulse signal, redundant dictionary technology, applied in character and pattern recognition, medical science, diagnosis, etc., can solve problems such as inability to deal with noise, and achieve the effect of saving resources, improving computing efficiency, and improving signal-to-noise ratio.

Active Publication Date: 2022-03-01
FUJIAN UNIV OF TECH
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Problems solved by technology

However, this method cannot deal with the noise that has spectral aliasing with the signal

Method used

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  • A Pulse Signal Denoising Method Based on Enhanced Gaussian Redundancy Dictionary
  • A Pulse Signal Denoising Method Based on Enhanced Gaussian Redundancy Dictionary
  • A Pulse Signal Denoising Method Based on Enhanced Gaussian Redundancy Dictionary

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Embodiment Construction

[0045] Such as figure 1 As shown, the present invention discloses a pulse signal denoising method based on an enhanced Gaussian redundancy dictionary, which comprises the following steps:

[0046] Step 1, pre-generate the enhanced Gaussian redundancy dictionary, the mathematical model of the enhanced Gaussian redundancy dictionary is:

[0047] ψ=[D 1 D. 2 D.3 …D u B 1 B 2 B 3 …B q E P 50 ] (1)

[0048] Among them, u N×N-dimensional Gaussian matrix D u Corresponding to the noise-free pulse signal, q N×N-dimensional Gaussian matrices B q Corresponding to low-frequency and high-frequency noise, one N×N-dimensional identity matrix E corresponds to random noise, and one N×N-dimensional sinusoidal matrix P with a frequency of 50 Hz 50 Corresponding to the interference of 50Hz power frequency noise;

[0049] Further, u N×N-dimensional Gaussian matrices D u element d in d (i, j) is:

[0050]

[0051] Among them, i,j∈[1,N] is the row and column of the element ...

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Abstract

The invention can effectively suppress noises such as high-frequency noise, low-frequency noise, baseline drift, power frequency interference and myoelectric interference of the pulse signal, and effectively improve the signal-to-noise ratio. The signal after the denoising of the present invention has no unnecessary oscillation, greatly improves the operation efficiency, saves a lot of resources, can be used for low power consumption front-end pulse signal acquisition, and provides a good solution for the further work of subsequent pulse wave feature extraction and classification Effect. The present invention can not only be used to remove the noise of the pulse signal, but also can be used to remove the noise of other signals such as the electrocardiogram signal.

Description

technical field [0001] The invention relates to the technical field of signal noise processing, in particular to a pulse signal denoising method based on an enhanced Gaussian redundancy dictionary. Background technique [0002] Human pulse signal has important clinical diagnostic value in traditional Chinese medicine (TCM) and modern medicine (Western medicine). In ancient times, there was a saying that "ask the disease to know the outside, observe the pulse to know the inside", "the patient can know the root cause of the disease without opening his mouth", which fully shows that the pulse signal contains rich information on human health status. In order to objectively To quantitatively reveal the mechanism of pulse condition, since the 1980s, many researchers have devoted themselves to the detection and analysis of human pulse signal. However, the human pulse signal is a weak signal with low signal-to-noise ratio. In the frequency range of 0-20Hz, and about 99% of the ener...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/02A61B5/00G06K9/62
CPCA61B5/02A61B5/7203A61B5/7235G06F18/21G06F18/24
Inventor 罗堪刘肖李建兴邹复民马莹陈炜黄炳法
Owner FUJIAN UNIV OF TECH
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