Fetal electrocardiogram detection method based on constraint blind source separation

A fetal ECG, blind source separation technology, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of complex calculation and poor real-time performance, and achieve the effect of speeding up the convergence speed and improving the accuracy and rapidity of extraction.

Inactive Publication Date: 2015-01-21
HENAN UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to provide a fetal ECG detection method based on constrained blind source separation to solve the problems of complex calculation and poor real-time performance of existing methods

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  • Fetal electrocardiogram detection method based on constraint blind source separation
  • Fetal electrocardiogram detection method based on constraint blind source separation
  • Fetal electrocardiogram detection method based on constraint blind source separation

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Embodiment Construction

[0034] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0035] The constrained second-order blind source separation algorithm is a blind source separation algorithm based on reference signals, which uses correlation to extract desired information from mixed signals containing noise. Then it is used to extract maternal ECG information and fetal ECG information from the maternal abdominal electrical information, such as figure 1 shown.

[0036] Such as figure 2 As shown, the basic steps of constrained second-order blind source separation for multi-parameter signals are as follows:

[0037] 1. Whiten the observed signal X S=QX, where S satisfies E{SS T}=I, Q is a whitening matrix;

[0038] 2. Obtain multiple reference signals R=(r 1 ,r 2 ) T , let i=1,2;

[0039] 3. Calculate the optimal initialization vector w i (0)=E{r i S} / ||E{r i S}||, and let i=1,2;

[0040] 4. Select the initial values ​​μ and λ of...

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Abstract

The invention relates to a fetal electrocardiogram detection method based on constraint blind source separation. Firstly, observation signals X are whitened by means of eigenvalue decomposition; multiple paths of reference signals R are obtained, separation vectors wi and Lagrange parameters are adjusted by using a generalized Lagrange function and a Newton learning algorithm, and accordingly a cost function is less enough, wherein solved Ws are separation matrixes; fetal electrocardiogram information and maternal electrocardiogram information are separated according to the equation that Y=WX, wherein X stands for the observation signals, and Y stands for fetal electrocardiogram information and maternal electrocardiogram information matrixes expected to be extracted. According to the fetal electrocardiogram detection method based on constraint blind source separation, when a secondary moment is utilized, reference signals are introduced, the convergence rate is increased, and accuracy and rapidity of information extraction are improved.

Description

technical field [0001] The invention relates to a fetal electrocardiogram detection method based on constrained blind source separation. Background technique [0002] Fetal Electrocardiogram (FECG) records fetal heart action potential and its graphic changes in the process of heart conduction, which is one of the objective indicators reflecting the physiological activities of the fetus in utero, which includes the health status of the fetus, such as the degree of development, During the entire pregnancy, especially when there is a risk of pregnancy, FECG can be used as an important means and tool for diagnosing the health status of the fetus and determining whether to interrupt the pregnancy. There are mainly two methods for extracting fetal FECG: immersion method and non-invasive method. Invasive extraction method, that is, when the pregnant woman gives birth, electrodes are placed on the scalp of the fetus in the uterus of the pregnant woman. This method is more accurate ...

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Application Information

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IPC IPC(8): A61B5/0444A61B5/344
CPCA61B5/4362A61B5/344A61B5/318
Inventor 杨晓利李振伟胡志刚宋卫东宋霄薇
Owner HENAN UNIV OF SCI & TECH
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