Electrocardiosignal denoising method based on improved EMD (Empirical mode decomposition) and threshold method fusion

A technology of ECG signal and threshold method, applied in denoising of ECG signal, based on the fusion of improved EMD and threshold method for denoising of ECG signal, it can solve problems such as extreme value undershoot or overshoot, decomposition error, etc.

Active Publication Date: 2020-01-14
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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Problems solved by technology

The quality of the envelope curve fitting in the method directly affects the decomposition results. The original method of cubic spline function interpolation is completed with the extreme point as the known point. B

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  • Electrocardiosignal denoising method based on improved EMD (Empirical mode decomposition) and threshold method fusion
  • Electrocardiosignal denoising method based on improved EMD (Empirical mode decomposition) and threshold method fusion
  • Electrocardiosignal denoising method based on improved EMD (Empirical mode decomposition) and threshold method fusion

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Embodiment Construction

[0125] The present invention will be described in detail below according to the accompanying drawings and examples, but the specific implementation of the present invention is not limited thereto.

[0126] The data in this embodiment comes from the patient sampling data of the Department of Cardiovascular Medicine, General Hospital of the Chinese People's Liberation Army. An electrocardiograph is used to collect ECG signals from patients. The signal duration is 5s, and the sampling frequency is 360Hz. ) ECG signal data under the situation.

[0127] This embodiment describes the process of applying the "ECG signal denoising method based on the fusion of improved EMD and threshold method" of the present invention to the ECG signal denoising scenario.

[0128] figure 1 A schematic diagram of the steps of the method, figure 2 As a specific flow chart, it can be seen from the figure that the ECG signal is collected first, and then the following steps are performed:

[0129] Ste...

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Abstract

The invention provides an electrocardiosignal denoising method based on improved EMD (Empirical Mode Decomposition) and threshold method fusion, and belongs to the technical field of signal wave filtering. The mode mixing problem is solved by adding white noise with different weight coefficients. The end point problem is solved by a method of a least squares support vector machine. Signal upper and lower envelope lines are constructed by a conformal spline interpolation method; and cubic spline interpolation with second-order approximation accuracy, few segments and small calculation quantityis constructed by a conformal segmentation method. The method can be used for inhibiting the envelope fitting overshoot/undershoot problem; IMF (Intrinsic Mode Function) component sieve termination criterion is provided by the decomposed IMF orthogonality and energy properties; the orthogonality and completeness of the EMD are ensured; the amount of noise contained in the sieved IMF signals is judged through a mutual information principle, whether the filtering processing is needed or not is determined, and the high speed of an EMD algorithm is accelerated; a threshold function is improved;the threshold function combines with the advantages of soft-hard thresholds; and the filtering processing is performed on IMF containing the noise.

Description

technical field [0001] The invention relates to a method for denoising electrocardiographic signals, in particular to a method for denoising electrocardiographic signals based on the fusion of improved EMD and a threshold method, and belongs to the technical field of signal filtering. Background technique [0002] ECG signal is a typical non-stationary and weak bioelectrical signal, which is widely used in the diagnosis and treatment of various heart diseases. ECG signals are often accompanied by very serious high-frequency and low-frequency noise, and the noise frequency band often overlaps with the ECG signal frequency band, making filtering preprocessing difficult. [0003] Traditional biomedical signal processing is mainly based on Fourier theory. Fourier signal processing technology is almost irreplaceable in signal spectrum analysis and associated signal processing fields such as data compression, signal detection, and filtering. However, the integral interval of the...

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Application Information

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IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7203A61B5/7235A61B5/316A61B5/318
Inventor 郭树理何昆仑尹俭芳韩丽娜范利曹丰刘宏斌王春喜李玉龙
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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