Method for detecting P and T characteristic waves of electrocardiosignal

A technology of ECG signal and detection method, which is applied in T characteristic wave detection and P field of ECG signal, which can solve problems such as glitch interference and zero-crossing misalignment, and achieve the effect of filtering noise

Active Publication Date: 2020-09-22
HEBEI UNIVERSITY
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  • Abstract
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for detecting P and T characteristic waves of ECG signals, so as to solve problems such as glitch interference and zero-crossing misplacement in existing methods.

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  • Method for detecting P and T characteristic waves of electrocardiosignal
  • Method for detecting P and T characteristic waves of electrocardiosignal
  • Method for detecting P and T characteristic waves of electrocardiosignal

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Embodiment Construction

[0040] The present invention will be described in further detail below in conjunction with the accompanying drawings, and those skilled in the art can realize the present invention from the contents disclosed in this specification. The specific processing methods not mentioned in the present invention are all carried out according to the conventional operations in this field.

[0041] This example is implemented in a computer with Intel Xeon CPU E5-2697@2.70GHz, memory 128.00GB, Win7, 64-bit operating system, and the entire ECG signal automatic classification algorithm is implemented in Matlab language.

[0042] combined with figure 1 , 2 , 3, the implementation process of the present invention is as follows:

[0043] A) Obtain the ECG signal of the human body, perform filtering processing, and detect the R wave of the filtered ECG signal:

[0044] ①Signal acquisition: collect the original ECG signal of the human body at an acquisition frequency of 1000 Hz, and store it in ...

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Abstract

The invention relates to a method for detecting P and T characteristic waves of an electrocardiosignal. The method comprises the following steps of: a, acquiring the electrocardiosignal of a human body to perform pre-processing; b, carrying out smoothing processing on the signals under the scale of the to-be-detected sections of the P and T characteristic waves through stationary wavelet transform; c, carrying out electrocardio data P and T characteristic wave peak value point detection by utilizing a maximum and minimum value principle; d, correcting the positions of P and T characteristic wave peak points of the electrocardio data according to a time shift correction principle; and e, evaluating a detection result by calculating three indexes of the error rate e<r>, the sensitivity S<e>and the correct prediction degree P of P and T characteristic wave detection. The electrocardiosignal is processed and smoothed by the method in the invention; therefore, the noise is effectively filtered; furthermore, low-frequency characteristic waves of the electrocardiosignal are recovered; and effective information of the electrocardiosignal is reserved.

Description

technical field [0001] The invention relates to an analysis and automatic detection technology of electrocardiographic signals, in particular to a method for detecting P and T characteristic waves of electrocardiographic signals. Background technique [0002] In recent years, the morbidity and mortality of cardiovascular and cerebrovascular diseases in my country rank first among all kinds of diseases, and have become the number one killer of human health. Among the top ten causes of death in the world, the number of ischemic heart disease ranks first. For the detection of ECG signals, ECG is undoubtedly the most effective means of diagnosing cardiovascular diseases. [0003] Its P and T waves represent the repolarization of the ventricle, which can effectively predict major heart diseases such as ventricular fibrillation and sudden cardiac death. However, due to the large amount of low-frequency components and large noise at the location of the P and T waves, and the chang...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452A61B5/04
Inventor 刘秀玲熊鹏刘明杜海曼杨建利刘学朋张杰烁
Owner HEBEI UNIVERSITY
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