Analysis method of dynamic characteristics of electrocardiosignal

An electrocardiographic signal and analysis method technology, applied in medical science, diagnosis, diagnostic recording/measurement, etc., can solve the problems of low classification accuracy of electrocardiographic signals, failure to deeply mine the information contained in electrocardiographic signals, etc. The effect of improving classification accuracy

Active Publication Date: 2012-03-28
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

[0003] The technical problem solved by the present invention is: to provide an analysis method for the dynamic characteristics of the ECG signal, which overcomes the tech

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  • Analysis method of dynamic characteristics of electrocardiosignal
  • Analysis method of dynamic characteristics of electrocardiosignal
  • Analysis method of dynamic characteristics of electrocardiosignal

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specific Embodiment approach

[0025] Such as figure 1 As shown, the specific embodiment of the present invention is: a kind of analysis method of electrocardiogram dynamic characteristic, comprises the steps:

[0026] Step 100: collect ECG signals, that is: collect ECG signals with ECG collection equipment, recorded as:

[0027] {x i}, i=1, 2, 3, ..., n; where: i represents the number of sampling points.

[0028] The specific implementation process is as follows: ECG signals are collected by an ECG acquisition device. In the embodiment of the present invention, a single-lead ECG acquisition device is used to record the rhythm of the heart.

[0029] Step 200: Analyze the dynamic characteristics of the ECG signal: map the ECG signal into a weighted network, each ECG signal collected is a data segment, and the weighted network corresponds to each data segment in the network One node, the weight of the edge between a pair of nodes is the distance between the data segments corresponding to the pair of nodes,...

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Abstract

The invention relates to an analysis method of dynamic characteristics of electrocardiosignal, which comprises the following steps of: firstly, utilizing a surrogate data algorithm to carry out the dynamic characteristic recognition of collected signals; secondly, converting the recognized electrocardiosignal into a weighted network, and further capturing the difference between the dynamic characteristics of different types of electrocardiosignal in a framework of a complex network by a point intensity distribution map; and finally, defining a statistic Rs, and successfully distinguishing normal electrocardiosignal from atrial fibrillation electrocardiosignal based on the statistic. In the technical scheme provided by the invention, the classification accuracy of the electrocardisignal isimproved, and the information contained in the electrocardisignal is deeply discovered.

Description

technical field [0001] The invention relates to an analysis method of electrocardiographic signals, in particular to an analysis method of dynamic characteristics of electrocardiographic signals. Background technique [0002] Heart disease has become one of the main killers threatening human health. Therefore, it is of great significance to develop a fast and effective automatic analysis tool for ECG signals. Based on this need, many methods for analyzing ECG signals have been proposed in recent decades: sequential hypothesis testing algorithms, complexity algorithms, spectral analysis, and wavelet analysis methods. Or extract features in the frequency domain, and identify and classify the collected ECG signals according to these features. Among them, some methods have been used in automatic defibrillators with good results. However, none of these methods involves the nonlinear dynamic characteristics of the cardiac system implied in the ECG signal. At the same time, some...

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Application Information

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IPC IPC(8): A61B5/0402
Inventor 赵毅孙晓冉
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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