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A ECG signal noise reduction method based on esmd method

An electrocardiographic signal and noise reduction technology, applied in the field of medical signal processing, can solve problems such as signal weakening, and achieve the effect of improving the signal weakening problem.

Active Publication Date: 2017-11-17
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0007] Aiming at the problems existing in the prior art, this application provides an ECG signal noise reduction method, which is researched and involved through ESMD, so that it is organically combined with the non-local mean filtering method. Compared with the existing method, this The method effectively improves the signal weakening problem that the traditional non-local mean algorithm tends to produce when the noise pollution is high, and can effectively suppress the noise of the ECG signal while protecting the details of the signal such as spikes.

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  • A ECG signal noise reduction method based on esmd method
  • A ECG signal noise reduction method based on esmd method
  • A ECG signal noise reduction method based on esmd method

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0032] like figure 1 As shown, the electrocardiogram noise reduction method based on the ESMD method provided by the present invention comprises the following steps:

[0033] (1) Decompose the original ECG signal containing noise to obtain a series of decomposed

[0034] Intrinsic mode function IMF, a residual term R and the instantaneous frequency of each order IMF component, the specific ste...

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Abstract

The invention discloses an ECG signal filtering algorithm based on a pole-symmetric mode decomposition and a non-local mean method. The method includes the following steps: firstly, a pole-symmetric mode decomposition is performed on the ECG signal to obtain a sequence of eigenmodes State function IMF, and then perform non-local mean filtering on each IMF, then superimpose IMF and residual items of each order, and finally perform non-local mean smoothing on the superimposed signal to obtain the final denoising result of the ECG signal. Because the present invention adopts the organic combination of pole symmetric mode decomposition and non-local mean value filtering method, it effectively improves the problem of signal attenuation that is easy to occur when the traditional non-local mean value algorithm has a high degree of noise pollution, and can effectively suppress the noise of the ECG signal At the same time, the details such as signal spikes are well protected.

Description

technical field [0001] The invention belongs to the field of medical signal processing, and more specifically relates to a noise reduction processing of electrocardiographic signals. Background technique [0002] The electrocardiogram is the process of electrical activity that reflects the excitement of the heart. However, as a weak signal (generally at the millivolt level), the ECG signal is easily overwhelmed by external noise. Common noises include power frequency noise, myoelectric noise, and baseline drift interference caused by patient respiration and movement. Noise has a very adverse effect on the measurement of ECG parameters, waveform recognition, and disease diagnosis. It is of great significance to study effective ECG signal noise reduction methods to improve the accuracy of heart disease diagnosis. [0003] Common ECG signal noise reduction methods include low-pass, high-pass and band-pass filtering, morphological filtering, Wiener filtering, Kalman filtering, ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402
Inventor 张旭明李永帅陈宗周张靖阳任金霞李想周欢丁明跃
Owner HUAZHONG UNIV OF SCI & TECH
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