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ECG (electrocardiograph) feature extraction method integrating Butterworth filtering and wavelet transformation

A technology of wavelet transform and feature extraction, applied in the field of medical computers, can solve problems affecting accuracy and small proportions

Active Publication Date: 2018-11-20
BEIJING INSTITUTE OF TECHNOLOGYGY +1
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  • Abstract
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Problems solved by technology

[0005] However, in the detection process of ECG signals, there are factors such as power frequency interference and environmental noise, which affect the accuracy of measurement.
And at present, because the accuracy and reliability of the intelligent analysis of ECG cannot be compared with the analysis of cardiologists, so its proportion in actual clinical application is not large

Method used

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  • ECG (electrocardiograph) feature extraction method integrating Butterworth filtering and wavelet transformation
  • ECG (electrocardiograph) feature extraction method integrating Butterworth filtering and wavelet transformation
  • ECG (electrocardiograph) feature extraction method integrating Butterworth filtering and wavelet transformation

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Embodiment 1

[0098] The present invention proposes an ECG signal feature extraction method that combines Butterworth filter and wavelet transform, such as figure 1 shown. Specifically include the following steps:

[0099] Step 1. Perform spectrum analysis on the original ECG signal to obtain the highest frequency and the lowest frequency, and then use the Butterworth filter to filter the original ECG signal to obtain the filtered ECG 1 signal; Step 1 specifically includes the following sub-steps:

[0100] S1.1 Use the discrete Fourier transform method to analyze the spectrum of the ECG signal through the formula (19), and obtain the highest frequency and the lowest frequency of the ECG signal spectrum, X(e jω ):

[0101]

[0102] Among them, X(e jω ) is the frequency spectrum of the ECG signal, ω is the frequency of the ECG signal, and ECG(n) is the nth amplitude of the ECG signal;

[0103] In getting X(e jω ), the highest frequency in the low frequency band is the highest frequen...

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Abstract

The invention provides an ECG (electrocardiograph) feature extraction method integrating Butterworth filtering and wavelet transformation, and belongs to the technical field of medical computers. A core concept is described as follows: performing de-noising processing on power frequency interference of an original ECG signal; meanwhile, removing baseline drift in a curve fitting manner; respectively positioning a wave Q, a wave R and a wave S with a differential threshold method and a wavelet transformation method after a relatively accurate ECG signal is acquired, comparing the waves Q, R andS with information marked by an expert, and respectively regulating threshold, scale and translation amount parameters to obtain an optimal positioning result. Based on the result, the wave Q, the wave R and the wave S are positioned respectively by adopting the differential threshold method or the wavelet transformation method. According to the extraction method provided by the invention, the more accurate de-noising processing can be performed on the original ECG signal; in addition, the waves Q, R and S can be positioned accurately, therefore, a foundation is laid for a digital analysis onan ECG.

Description

technical field [0001] The invention relates to a method for extracting features of electrocardiographic signals, in particular to a method for extracting ECG features combined with Butterworth filter and wavelet transform, and belongs to the technical field of medical computers. Background technique [0002] For a long time, cardiovascular disease has seriously threatened human health and life because of its high morbidity and high mortality. The World Health Organization (WHO) estimates that 36 million people die each year from non-communicable diseases such as cardiovascular disease, diabetes, respiratory system disease and malignant tumors in the world, accounting for 2 / 3 of the total global deaths. By 2020, The number will climb to 44 million. [0003] The "China Cardiovascular Disease Report (2015)" shows that in 2014, the mortality rate of cardiovascular disease in China still ranked first in the composition of disease deaths, higher than that of tumors and other dis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402
CPCA61B5/7225A61B5/725A61B5/318
Inventor 郭树理韩丽娜陈启明桂心哲张祎彤张禾刘宏斌范利
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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