Electrocardiosignal denoising method based on morphological filtering and lifting wavelet transformation

A technology based on morphology and morphological filtering, which is applied in the field of biomedical signal noise processing, can solve problems such as inability to efficiently remove low-frequency noise, difficulty in implementation, and excessive wavelet calculation, and achieve easy implementation, less space occupation, and simple calculation Effect

Active Publication Date: 2015-02-25
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] In terms of ECG denoising, there are many methods. The denoising effect is better like the traditional wavelet denoising method, which has a good effect in removing high-frequency noise, but it cannot efficiently remove low-frequency noise.
In order to overcome the deficiency of traditional wavelet denoising, someone designed a combined EC

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  • Electrocardiosignal denoising method based on morphological filtering and lifting wavelet transformation
  • Electrocardiosignal denoising method based on morphological filtering and lifting wavelet transformation
  • Electrocardiosignal denoising method based on morphological filtering and lifting wavelet transformation

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[0031] The specific implementation manner and working principle of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] See attached figure 1 , a method for denoising ECG signals based on morphology and EMD-like wavelet thresholds, performed according to the following steps:

[0033] First enter step 1: the present embodiment selects No. 203 electrocardiographic data whose time length is 10s in the MIT-BIT arrhythmia database as the electrocardiographic signal f to be processed, and its waveform is as follows figure 2 As shown, then based on the principle of lifting wavelet transform, the ECG signal f is decomposed by the first level of lifting wavelet, and the first layer of low frequency coefficient CA1 and the first layer of high frequency coefficient CD1 are obtained;

[0034] Among them, the principle and process of lifting wavelet decomposition are as follows: image 3 As shown, the signal to be decomp...

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Abstract

The invention discloses an electrocardiosignal denoising method based on morphological filtering and lifting wavelet transformation. Firstly, three times of decomposing are conducted on electrocardiosignals f based on the lifting wavelet theory, three layers of high-frequency coefficients and three layers of low-frequency coefficients are obtained, a lifting threshold denoising method is used for processing the high-frequency coefficients, the high-frequency coefficients on the bottom layer and the low-frequency coefficients are reconstructed twice, the reconstructed low-frequency coefficients can be obtained, morphological filtering is conducted on the reconstructed low-frequency coefficients, signal reconstruction is conducted according to the processed reconstructed low-frequency coefficients and the processed high-frequency coefficients on the highest layer, and denoised electrocardiosignals f' are obtained. The electrocardiosignal denoising method has the advantages that the method is simple and easy to achieve, the morphological algorithm and the lifting wavelet transformation algorithm are organically combined, compared with a traditional wavelet algorithm, the high-frequency electrocardio-noise and the low-frequency electrocardio-noise can be removed at the same time, the quality of the denoised signals is improved, computing is easy, the occupied space is small, and the electrocardiosignal denoising method can be achieved on hardware more easily.

Description

technical field [0001] The invention relates to the technical field of biomedical signal noise processing, in particular to an electrocardiographic signal denoising method based on morphological filtering and lifting wavelet transform. Background technique [0002] ECG is one of the vital sign signals of people, which can accurately reflect the information of heart activity in different states. It not only provides a valuable reference for changes in heart function and diagnosis of heart diseases, but also A new way of identity verification is provided in biometric identification technology. [0003] The ECG signal is a typical non-stationary weak signal with low amplitude and low frequency, so it is very susceptible to various interferences during the extraction process of the ECG signal. Among them, the noise of the ECG signal is mainly divided into three categories: ① Baseline drift, mainly caused by body movement, breathing, ECG acquisition method and acquisition circui...

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Application Information

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IPC IPC(8): A61B5/0402
CPCA61B5/7203A61B5/318
Inventor 庞宇张磊磊林金朝王伟罗志勇李章勇冉鹏李国权周前能
Owner CHONGQING UNIV OF POSTS & TELECOMM
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