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ECG abnormality evaluation method based on ECG entropy chart

An electrical abnormality and entropy technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve the problems of neglecting the dynamic characteristics of ECG signals and insufficient to describe the dynamic essential characteristics of ECG signals.

Pending Publication Date: 2019-09-03
HANGZHOU DIANZI UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing ECG intelligent analysis methods based on the ECG signal extract the shallow time-frequency characteristics of the signal, often ignoring the inherent dynamic characteristics of the ECG signal, a complex non-stationary signal, and it is obviously not enough to use only the time-frequency characteristics. Characterize the inherent dynamic nature of ECG signals

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  • ECG abnormality evaluation method based on ECG entropy chart
  • ECG abnormality evaluation method based on ECG entropy chart
  • ECG abnormality evaluation method based on ECG entropy chart

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Experimental program
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Embodiment

[0067] like Figure 1 Shown is the flow chart of the electrocardiogram entropy value graph that is used to evaluate the electrocardiogram abnormality of the embodiment of the present invention, comprises the following steps:

[0068] Step 1 Obtain the body surface ECG time parameters:

[0069] In order to make the research results true and reliable, the present invention verifies its better effect, and the data set is the PTB Diagnostic ECG Database database provided by (https: / / www.physionet.org / cgi-bin / atm / ATM). like Figure 2a It is the 12-lead ECG of a patient with abnormal ECG, such as Figure 2b is the twelve-lead ECG of a normal control individual.

[0070] Step 2 data preprocessing: Use the median filter algorithm to remove the baseline drift, muscle interference, power interference and other noise in the original ECG signal from the data in step 1. The median filter algorithm is the input ECG time series x k ={x k (n)|n=1,2,...,N} where k=1,2,...,12. Define the...

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Abstract

The invention discloses an ECG abnormality evaluation method based on an ECG entropy chart. The method extracts the entropy features of a conventional twelve-lead ECG signal, such as approximate entropy, a sample entropy and a fuzzy entropy, uses the support vector machine classification algorithm to train and obtain a boundary value corresponding to each feature, and combines a support vector machine and the entropy features and graphical display methods, and presents the ECG entropy chart, which provides a powerful means for the diagnosis and evaluation of ECG abnormalities. The three entropy features proposed in the method of the invention well characterize the intrinsic features of the ECG signal, and the calculation is simple and convenient. In the tested population, if multiple indicators of the ECG entropy chart exceed a boundary point of a discrimination diagram, the probability of ECG abnormality or ECG disorder can be increase greatly, and close attention of the individual and further examination by the doctor are required.

Description

technical field [0001] The invention belongs to the technical field of electrocardiogram detection, and in particular relates to an electrocardiographic abnormality evaluation method based on an electrocardiographic entropy value map. Background technique [0002] Twelve-lead electrocardiogram is a routine examination in hospitals. Basic level to tertiary hospitals are basically equipped with electrocardiogram examination. By placing electrodes on the surface of the human chest and limbs, and recording the electrocardiogram waveform at a specific position, the doctor can according to the amplitude and timing of the electrocardiogram waveform Roughly deduce whether there is abnormality in the beating state of the heart. Because the body surface potential recorded by the electrocardiogram is only a rough projection of the electrophysiological activity of the heart on the body surface, the doctor's diagnosis of the physiological state of the heart based on the body surface pote...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0402
CPCA61B5/7267A61B5/318
Inventor 王丹俐邓木清范慧婕曹九稳
Owner HANGZHOU DIANZI UNIV