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A random noise denoising method of pulse signal based on AR model spectrum estimation

A technology of pulse signal and AR model, which is applied in the fusion field of information science and medicine, can solve problems such as inability to separate useful signals from noise signals, random noise, pseudo-Gibbs phenomenon, etc.

Active Publication Date: 2018-06-19
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0004] The present invention provides a pulse signal random noise denoising method based on AR model spectrum estimation. By estimating the signal-to-noise ratio of pulse signal power, a random noise signal model is established, and the random noise is removed in the frequency domain by using AR model spectrum estimation. The method is used to solve the problem that the useful signal and the noise signal cannot be separated well by traditional time-domain filtering and frequency-domain filtering methods when the useful signal and the noise signal overlap in the frequency domain width; Noise method can produce pseudo-Gibbs phenomenon or introduce the problem of random noise; And in the present invention, the order number of determining AR parameter model is the signal length before zero padding, and the selection of parameter is simple and fixed, but denoising effect is still very good. Ok, it solves the problem of difficulty in parameter selection and the problem of affecting the denoising effect due to improper parameter selection

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  • A random noise denoising method of pulse signal based on AR model spectrum estimation
  • A random noise denoising method of pulse signal based on AR model spectrum estimation
  • A random noise denoising method of pulse signal based on AR model spectrum estimation

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Embodiment 1

[0066] Embodiment 1: as Figure 1-21 As shown, a pulse signal random noise denoising method based on AR model spectrum estimation, the steps of this method are as follows:

[0067] Step1. Divide the collected pulse signal into two sections with the same length to calculate the signal power signal-to-noise ratio, estimate the noise variance through the calculated signal power signal-to-noise ratio, and then establish a random noise signal model to design a random noise signal;

[0068] Step2, respectively padding the two sections of signals with zeros so that the size of the two sections of signals is the integer power of 2 closest to the length of the original signal, performing Fourier transform on the mixed signal after zero-padded to retain its phase spectrum;

[0069] Step3. Establish an AR model for the two mixed signals after zero padding, determine the AR model and model order, obtain the parameters of the model according to the model, and substitute the power spectral ...

Embodiment 2

[0105] Embodiment 2: as Figure 1-21 As shown, a pulse signal random noise denoising method based on AR model spectrum estimation, the steps of this method are as follows:

[0106] Step 1. Divide the collected pulse signal into two sections with the same length to calculate the power signal-to-noise ratio of the signal, estimate the noise variance through the calculated signal power signal-to-noise ratio, and then establish a model of the random noise signal;

[0107] The concrete steps of described step Step1 are as follows:

[0108] Step1.1. The collected real pulse signal data x(m) (m=1,2,3,...,M) of a woman, such as Figure 4 , pulse data length M=20000, divide x(m) into two sections of signal x with the same length 1 (i) and x 2 (i) (i=1,2,3,...I), I=10000, x 1 (i) and x 2 (i) respectively if Figure 6 , 8 shown;

[0109] Step1.2. The collected pulse signal x(m) (m=1,2,3,...,M) is composed of effective pulse signal s(m) and noise signal n(m), that is, x(m) =s(m)+...

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Abstract

The invention relates to a pulse signal random noise denoising method based on AR model spectrum estimation, and belongs to the field of integration of information science and medicine. This invention first divides the collected pulse signal into two sections with the same length, calculates the power signal-to-noise ratio of the signal, establishes a model of the random noise signal, and designs the random noise signal; zero-pads the two sections of the signal to make the length N, Fourier transform is performed on the zero-padded signal to retain its phase spectrum; for the zero-padded signal, an AR model is established to estimate its power spectrum; the noise signal is zero-padded so that its length is also N, and its power spectrum is estimated; use The power spectrum of the mixed signal is subtracted from the power spectrum of the noise signal to obtain the power spectrum of the effective signal. Combined with the phase spectrum of the mixed signal before denoising, the effective time domain pulse signal is obtained through transformation. The present invention obviously removes random noise without reducing signal resolution and fidelity, and has a very good denoising effect.

Description

technical field [0001] The invention relates to a pulse signal random noise denoising method based on AR model spectrum estimation, and belongs to the technical field of fusion of information science and medicine. Background technique [0002] The various physiological systems in the human body are coupled to each other. The heart and blood circulation system is the most important and comprehensive way to reflect the health status of a person. Therefore, by collecting pulse waves and then analyzing the function of the heart and circulation system, it can reflect the health of the human body more comprehensively. However, the pulse wave signal collected from the human body has a relatively low signal-to-noise ratio, which brings difficulties to the accurate measurement of subsequent parameters, so the removal of noise interference is very important and necessary. [0003] Commonly used pulse signal denoising methods mainly include simple denoising processing in the time doma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/02G06T5/00G06T5/10G06T7/00
CPCA61B5/02G06T5/10G06T7/0012A61B5/7203A61B5/725G06T2207/20182G06T2207/30101G06T2207/20056G06T5/70
Inventor 杨承志何慧敏刘贺张兴超杨彪
Owner KUNMING UNIV OF SCI & TECH
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