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Magnetocardiogram signal denoising method for improving empirical mode decomposition permutation entropy

A technology of empirical mode decomposition and permutation entropy, applied in the field of cardiomagnetic decomposition and denoising based on improved CEEMDAN permutation entropy, can solve problems such as low efficiency, difficulty in achieving denoising effect, and loss of useful components of signals

Pending Publication Date: 2022-03-15
HEFEI UNIV OF TECH
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Problems solved by technology

[0006] In the denoising of cardiomagnetic signal, for the processing of noise-containing IMF components, forced de-noising processing can be used, that is, the noise-containing IMF components can be directly removed, but the forced de-noising will lose the useful components of the signal; method, threshold selection rules and threshold function design are not easy, the efficiency is low, and it is difficult to achieve a good denoising effect

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  • Magnetocardiogram signal denoising method for improving empirical mode decomposition permutation entropy
  • Magnetocardiogram signal denoising method for improving empirical mode decomposition permutation entropy
  • Magnetocardiogram signal denoising method for improving empirical mode decomposition permutation entropy

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[0055] The present invention will be further described below in conjunction with accompanying drawing:

[0056] The cardiomagnetic decomposition denoising method of the improved CEEMDAN permutation entropy of the present embodiment specifically includes the following steps:

[0057] S1: CEEMDAN which improves the cardiomagnetic signal, and obtains a series of IMFs from high frequency to low frequency;

[0058] The first is the establishment of the simulation signal. Set the sampling frequency of the ideal pure magnetic signal to 1000HZ, the sampling time is 2s, and normalize the peak value of the discrete magnetic signal sequence where x o (n) is the original discrete cardiomagnetic signal sequence, n=1, 2, ... is the sampling amount, x max is the peak value of the cardiomagnetic signal, x(n) is the discrete cardiomagnetic signal sequence after peak normalization, such as figure 1 shown. During the collection process, the magnetic signal will be interfered by machine an...

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Abstract

The invention relates to a magnetocardiogram signal denoising method for improving empirical mode decomposition permutation entropy, which comprises the following steps of: (1) carrying out improved CEEMDAN on a magnetocardiogram signal obtained by measurement based on a superconducting quantum interferometer to obtain a series of intrinsic mode components IMF from high frequency to low frequency; (2) calculating the permutation entropy of each IMF, and quantitatively detecting and retaining effective IMF components containing magnetocardiogram signal features by using the permutation entropy; (3) according to the permutation entropy, determining an IMF component of the noise and an effective IMF component containing magnetocardiogram signal features; and (4) processing the noise IMF component by using a windowing function, removing the noise amount, and retaining the effective amount. According to the method, effective components and noise components of the magnetocardiogram signals can be efficiently separated, and the modal aliasing phenomenon can be effectively overcome. White noise is effectively removed through permutation entropy detection and windowing noise reduction processing, so that interference is reduced, and white noise removal in human body magnetocardiogram signals is achieved.

Description

technical field [0001] The invention relates to the technical field of biomedical engineering magnetocardiographic signal denoising processing, in particular to a method for denoising cardiomagnetic decomposition based on improved CEEMDAN permutation entropy. Background technique [0002] Heart disease is as famous as cancer and cerebrovascular disease, and it is a major disease that endangers the human body. At present, electrocardiogram (ECG) is mainly used to detect and analyze the electrical activity of the heart. But the ECG cannot grasp heart activity in spatial form. With the development of magnetic sensor devices, high-sensitivity superconducting quantum interference device (SQUID) magnetic sensors are applied to the detection of cardiac magnetic field signals. The measurement of magnetocardiogram (MCG) signal is carried out in three-dimensional space. Compared with ECG, it can reflect the spatial information of heart activity, obtain more data information, and have...

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Application Information

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IPC IPC(8): A61B5/243A61B5/00G06K9/00
CPCA61B5/243A61B5/7203G06F2218/04
Inventor 陈波沈道贤孙辉肖洒庄远江斌朱众望
Owner HEFEI UNIV OF TECH
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