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ECG Signal Denoising Method and System Based on Classification Matching and Fractional Diffusion

An ECG signal, fractional-order technology, used in medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problem of only considering diffusion results, and achieve the effect of protecting detailed features and good details.

Active Publication Date: 2020-12-29
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

Classical nonlinear diffusion filtering is a signal processing method based on partial differential equations, but it only considers the diffusion results of the previous moment, and does not take all historical moments as a reference, so there are certain limitations

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  • ECG Signal Denoising Method and System Based on Classification Matching and Fractional Diffusion
  • ECG Signal Denoising Method and System Based on Classification Matching and Fractional Diffusion
  • ECG Signal Denoising Method and System Based on Classification Matching and Fractional Diffusion

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Embodiment Construction

[0062] In order to better understand the technical content of the present invention, specific embodiments are given together with the attached drawings for description as follows.

[0063] Aspects of the invention are described in this disclosure with reference to the accompanying drawings, which show a number of illustrated embodiments. Embodiments of the present disclosure are not necessarily intended to include all aspects of the invention. It should be appreciated that the various concepts and embodiments described above, as well as those described in more detail below, can be implemented in any of numerous ways, since the concepts and embodiments disclosed herein are not limited to any implementation. In addition, some aspects of the present disclosure may be used alone or in any suitable combination with other aspects of the present disclosure.

[0064] combine figure 1 , the present invention proposes a method for denoising ECG signals based on classification matchin...

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Abstract

The invention provides a ECG signal denoising method based on classification matching and fractional diffusion, comprising the following steps: S1, inputting an ECG signal to be processed; 2, carryingout sliding classification match on the ECG signal, and extracting a similar data matrix of each reference signal segment; S3, denoising each similar data matrix by shrinking transform coefficients;4, returning the signal segments in each denoised similar data matrix to the original position, and obtaining a preliminary estimation signal by weighted summation; S5. further denoising the obtainedpreliminary estimated signal by fractional diffusion to obtain the final denoised ECG signal. At the same time of removing the high-frequency noise of the electrocardiogram signal, the invention can further remove the low-frequency noise of the same frequency band in the electrocardiogram signal and protect the detail characteristic information in the electrocardiogram signal.

Description

technical field [0001] The present invention relates to the technical field of signal noise processing, in particular to a method and system for denoising electrocardiographic signals based on classification matching and fractional diffusion. Background technique [0002] With the development of clinical medicine, ECG signal has become an important tool for medical diagnosis. ECG signals are often disturbed by noise during the extraction process. In order not to affect further analysis and diagnosis, denoising of ECG signals has become one of the necessary processing steps. [0003] There are many existing ECG signal denoising methods, including wavelet transform method, empirical mode method and so on. They have achieved good results in removing high-frequency noise of ECG signals, but they all have the same shortcoming that they cannot effectively remove low-frequency noise with the same frequency as ECG signals. [0004] With the development of partial differential equa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7203A61B5/7253A61B5/316A61B5/318
Inventor 李远禄蒋民赵伟静李俊周慧敏孙双龙
Owner NANJING UNIV OF INFORMATION SCI & TECH
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