Noise removal method with noise IMF (intrinsic mode function) components and electrocardiography signals

An ECG signal, IMF technology, applied in the direction of diagnostic recording/measurement, medical science, sensors, etc., to achieve the effect of reducing the amount of calculation, improving the efficiency, and the method is simple

Inactive Publication Date: 2017-06-06
ANHUI UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The technical problem to be solved in the present invention is aimed at the noise of the ECG (electrocardiogram) signal, and proposes a method for denoising the ECG signal based on EEMD (ensemble empirical mode decomposition) and wavelet new threshold

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  • Noise removal method with noise IMF (intrinsic mode function) components and electrocardiography signals
  • Noise removal method with noise IMF (intrinsic mode function) components and electrocardiography signals
  • Noise removal method with noise IMF (intrinsic mode function) components and electrocardiography signals

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Embodiment Construction

[0052] Embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0053] figure 1 It is a flowchart of a preferred embodiment of the electrocardiographic signal denoising method of the present invention, such as figure 1 As shown, the electrocardiographic signal denoising method comprises the following steps:

[0054] S100, performing EEMD decomposition on the noisy ECG signal;

[0055] S200. Determine the serial number of the boundary point between the noisy IMF and the signal IMF according to the statistical characteristics of the noise;

[0056] S300. Combining two different threshold processing methods of double threshold and single threshold to denoise the wavelet threshold and process the noisy IMF component to obtain the IMF component after wavelet threshold processing;

[0057] S400. Reconstruct the IMF component processed by the wavelet threshold and the IMF component of the signal to obtain a denoised...

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Abstract

The invention relates to a noise removal method with noise IMF (intrinsic mode function) components and electrocardiography signals. According to the noise removal method, by the aid of an EEMD (ensemble empirical mode decomposition) algorithm and a new wavelet threshold value noise removal method, the shortcomings of a soft threshold function and a hard threshold function are overcome relative to a traditional wavelet noise removal algorithm, traditional threshold values are improved, and used flexibility and used practicability of the threshold values are improved. By the aid of a combined mode of dual threshold values and a single threshold value, calculated amount is decreased, and efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of electrocardiographic signal processing, and more specifically relates to a method for denoising an electrocardiographic signal with noise-containing IMF components based on EEMD and a new wavelet threshold. Background technique [0002] In terms of ECG denoising, there are many methods, such as: traditional digital filter FIR (finite-length unit impulse response) filter and IIR (infinite impulse response) filter, adaptive filtering, median filtering, wavelet transform, mathematical Morphology, EEMD, etc. Among these methods, EEMD and wavelet transform have better denoising effects, and their principles are all denoising through decomposition-reconstruction. The principle of wavelet transform is: through the selected wavelet base, use the Mallet algorithm to decompose the original signal in multiple scales, obtain the approximate coefficients and wavelet coefficients of each scale, and then perform thresh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402
CPCA61B5/7203A61B5/7225A61B5/7235A61B5/726A61B5/318
Inventor 王年王超胡永兵唐俊梁栋
Owner ANHUI UNIVERSITY
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