Method for detecting heart diseases based on multi-scale entropy

A heart disease, multi-scale entropy technology, applied in the field of biomedical engineering, can solve problems such as increasing the burden on doctors and inconvenience for patients

Inactive Publication Date: 2019-07-12
HUBEI UNIV OF TECH
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Problems solved by technology

But only by manually analyzing ECG signals to diagnose heart disease, not only increases the burden on doctors, but also inconvenient for patients

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  • Method for detecting heart diseases based on multi-scale entropy
  • Method for detecting heart diseases based on multi-scale entropy
  • Method for detecting heart diseases based on multi-scale entropy

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[0106] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0107] In the specific embodiment of the present invention, the original ECG signal comes from the MIT-BIH ECG database.

[0108] Combine below Figure 1 to Figure 4 Embodiments of the invention are discussed. The specific steps of the embodiment of the present invention include the following steps:

[0109] Step 1: First put the original ECG signal into a band-pass filter to filter out part of the noise, and then use signal differentiation and square means to amplify the signal with amplified R wave characteristics, and use the dynamic threshold adjustment...

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Abstract

The invention provides a method for detecting heart diseases based on multi-scale entropy. Firstly, original electrocardiosignals are put into a band-pass filter to filter away partial noise, then amplification is carried out by using signal differentiation and square methods to obtain magnified signals of R wave features, an R wave position is marked by using a dynamic threshold adjusting method,and RR interphase sequences of the electrocardiosignals are obtained; according to the RR interphase sequences of the electrocardiosignals, empirical mode decomposition is carried out, the signals are extended, then the electrocardiosignals are decomposed by constructing upper and lower envelope lines of the signals to obtain IMF components, and eigenfunction signals of the electrocardiosignals of healthy persons and patients with the heart diseases are obtained; the multi-scale entropy of the eigenfunction signals is calculated through the IMF components, the eigenfunction signals of the electrocardiosignals of the healthy persons and the patients with the heart diseases are classified by using a classification function of a support vector machine, and the electrocardiosignals of the healthy persons and the patients with the heart diseases are distinguished. The method for detecting the heart diseases based on the multi-scale entropy can timely detect the healthy condition of the heart and is conductive to knowing disease principles.

Description

technical field [0001] The invention relates to the field of biomedical engineering, in particular to a heart disease detection method based on multi-scale entropy. Background technique [0002] In today's increasingly accelerated pace of life, cardiovascular disease has always been an important factor affecting people's health. According to surveys by relevant organizations, the mortality rate of cardiovascular diseases has surpassed that of cancer for many years, ranking first among all diseases. Among them, in our country, the death of cardiovascular disease accounted for 44.6% of the total death of rural residents, accounting for 42.52% of the total death of urban residents. It is reported that the number of people suffering from cardiovascular disease in our country is close to 300 million. With the intensification of my country's population aging, the acceleration of urbanization and the change of people's living standards (such as obesity or high blood pressure caus...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402A61B5/00
CPCA61B5/7203A61B5/7235A61B5/725A61B5/7267A61B5/316A61B5/318
Inventor 万相奎刘翔宇刘俊杰陈瑞危竞王仲昊吴海波金志尧朱彬如许正望李风从丰励
Owner HUBEI UNIV OF TECH
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