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Pulse signal denoising method based on enhanced Gaussian redundant dictionary

A pulse signal, redundant dictionary technology, applied in character and pattern recognition, medical science, instruments, etc., can solve problems such as inability to handle noise, save resources, improve computing efficiency, and suppress high-frequency noise.

Active Publication Date: 2019-12-17
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

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  • Pulse signal denoising method based on enhanced Gaussian redundant dictionary
  • Pulse signal denoising method based on enhanced Gaussian redundant dictionary
  • Pulse signal denoising method based on enhanced Gaussian redundant dictionary

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Embodiment Construction

[0046] 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:

[0047] Step 1, pre-generate the enhanced Gaussian redundancy dictionary, the mathematical model of the enhanced Gaussian redundancy dictionary is:

[0048] ψ=[D 1 D. 2 D.3 …D u B 1 B 2 B 3 …B q E P 50 ] (1)

[0049] Among them, u N×N-dimensional Gaussian dictionary D u Corresponding to the noise-free pulse signal, q N×N-dimensional Gaussian dictionaries B q Corresponding to low-frequency and high-frequency noise, one N×N-dimensional unit matrix E corresponds to random noise, and one N×N-dimensional sinusoidal matrix P with a frequency of 50Hz 50 Corresponding to the interference of 50Hz power frequency noise;

[0050] Further, u N×N-dimensional Gaussian dictionary D u element d in d (i, j) is:

[0051]

[0052] Among them, i,j∈[1,N] is the row and column of the eleme...

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Abstract

The invention discloses a pulse signal denoising method based on enhanced Gaussian redundant dictionary. The pulse signal denoising method based on enhanced Gaussian redundant dictionary can effectively suppress high-frequency noise, low-frequency noise, baseline drift, power frequency interference, myoelectric interference and other noises of a pulse signal, and the signal-to-noise ratio is effectively improved. The denoised signal has no unnecessary oscillation, the operation efficiency is greatly improved, and a lot of resources are saved, the pulse signal denoising method can be used for low-power consumption front-end pulse signal collection, and a good effect is provided for subsequent pulse wave feature extraction and classification. effect. The pulse signal denoising method can beused not only to remove noise of the pulse signal, but also to remove the noise of other signals such as electrocardiogram signals.

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...

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Application Information

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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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