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Integrated filtering method for ECG signals based on wavelet transform and improved EEMD

A technology of electrocardiographic signal and wavelet transformation, which is applied in medical science, instruments, character and pattern recognition, etc., can solve the problems of waveform distortion and poor effect, reduce mean square error, eliminate baseline drift interference, and improve signal-to-noise than the effect

Inactive Publication Date: 2019-07-26
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

A comprehensive filtering method for ECG signals based on wavelet transform and improved EEMD is proposed to solve the poor effect and waveform distortion of traditional ECG signal filtering methods

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  • Integrated filtering method for ECG signals based on wavelet transform and improved EEMD
  • Integrated filtering method for ECG signals based on wavelet transform and improved EEMD
  • Integrated filtering method for ECG signals based on wavelet transform and improved EEMD

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Embodiment Construction

[0056] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0057] The technical scheme that the present invention solves the problems of the technologies described above is:

[0058] The invention proposes a comprehensive filtering method of electrocardiogram signal based on wavelet transform and improved EEMD. The core idea is: according to the characteristics of the noise in the ECG, the main noise sources are divided into low-frequency interference and high-frequency interference. High-frequency interference includes power frequency and electromyographic interference. The wavelet threshold method is designed to eliminate high-frequency interference; low-frequency interference is baseline drift interference. In view of the shortcomings of the EEMD algorithm, th...

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Abstract

The invention claims an integrated filtering method for ECG signals based on wavelet transform and improved EEMD. According to the characteristics of noise in ECG, main noise sources are divided intolow frequency interference and high frequency interference. The high-frequency interference includes power frequency and myoelectric interference, and a wavelet threshold method is designed to achievehigh-frequency interference elimination. The low-frequency interference is the baseline drift interference. For the deficiency of an EEMD algorithm, the basis determined by adding the size of the auxiliary noise and the set average times to important parameters of the EEMD algorithm is given, and then the improved EEMD algorithm is utilized to eliminate the baseline drift interference. Aiming atthe simultaneous existence of multiple interferences in the ECG signals, a one-time integrated denoising algorithm based on the wavelet transform and the improved EEMD is designed. According to the method, the signal to noise ratio can be improved, the mean square error is reduced, and the ECG wave characteristics are maintained.

Description

technical field [0001] The invention belongs to the technical field of vital sign signal processing, and specifically relates to a comprehensive denoising method for electrocardiographic signals. Background technique [0002] Cardiovascular disease has been and will continue to be a major disease that threatens human life and health. According to the World Health Organization, about 20 million people die from cardiovascular diseases every year worldwide. In my country, with the acceleration of population aging, the number of cardiovascular diseases will continue to increase. Cardiovascular disease has become a public health problem in my country and the world. As the number one killer of human health, it has attracted extensive attention from the government and the public. ECG signal, as a bioelectrical signal representing human pathological information, is one of the most important physiological signs of the human body. It can reflect the operating status of various parts...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0402G06K9/00
CPCA61B5/726A61B5/318G06F2218/06
Inventor 李国权李必禄刘乐乐庞宇林金朝
Owner CHONGQING UNIV OF POSTS & TELECOMM
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