Fetal electrocardiogram accurate extraction method based on ant colony constraint blind source separation

A technology of blind source separation and fetal electrocardiogram, applied in gene models, genetic rules, medical science, etc., can solve problems such as easy to fall into local optimal solution, difficult to global optimal solution, and affect the accurate extraction of fetal electrocardiogram. Conducive to clinical diagnosis and quality improvement

Inactive Publication Date: 2017-03-15
HENAN UNIV OF SCI & TECH
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Problems solved by technology

The method of gradient method to solve the mixing matrix is ​​difficult to obtain the global optimal solution in the nonlinear blind source separation problem
The maternal-fetal mixed signal collected from the pregnant woman's abdomen includes maternal ECG signal, abdominal movement signal, fetal signal and other mixed signals, and these signals are all nonlinear mixed signals. When using the gradient method to solve the mixed matrix, it is easy to fall into a local optimal solution. Then affect the accurate extraction of fetal ECG

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  • Fetal electrocardiogram accurate extraction method based on ant colony constraint blind source separation
  • Fetal electrocardiogram accurate extraction method based on ant colony constraint blind source separation
  • Fetal electrocardiogram accurate extraction method based on ant colony constraint blind source separation

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Embodiment Construction

[0032] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0033] Ant colony algorithm optimization constrained blind source separation method is an algorithm for blind source separation based on ant colony algorithm and reference signal correlation. It uses correlation to extract expected information from mixed signals containing noise. Second-order blind source separation algorithm, Ant colony algorithm optimization constrained blind source separation technology structure block diagram figure 1 , the block diagram of the ant colony optimization algorithm is as follows figure 2 shown.

[0034] Such as image 3 As shown, the basic steps of ant colony algorithm to optimize constrained blind source separation are as follows:

[0035] 1. Whiten the observed signal X S=QX, where S satisfies E{SS T}=I, Q is a whitening matrix;

[0036] 2. Obtain multiple reference signals R=(r 1 ,r 2 ) T ;

[0037] 3. Set the an...

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Abstract

The invention relates to a fetal electrocardiogram accurate extraction method based on ant colony constraint blind source separation. A demixing matrix W is solved by utilizing ant colony optimization, the demixing matrix can be optimized in real time according to constraint conditions, then a fetal electrocardiogram signal can be effectively and accurately extracted, and further the quality of a fetus signal is improved, so that clinical diagnosis can be benefited.

Description

technical field [0001] The invention relates to fetal electrocardiogram extraction technology, in particular to an accurate fetal electrocardiographic extraction method based on ant colony-constrained blind source separation. Background technique [0002] Fetal Electrocardiogram (FECG) records the action potential of the fetal heart and its graphic changes during the heart conduction process. It is one of the objective indicators reflecting the physiological activities of the fetus in utero. Or a medical condition such as arrhythmia. At present, there are mainly two methods for extracting FECG: immersion and non-invasive methods. The invasive extraction method is more accurate, but it can only be used during childbirth and may cause harm to the fetus and pregnant woman; the non-invasive extraction method places the electrodes on the pregnant woman’s abdomen as close to the fetal position as possible to measure the signal, and this method can be used throughout pregnancy It...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0444G06N3/12A61B5/344
CPCG06N3/126A61B5/7221A61B5/7235A61B5/344
Inventor 杨晓利李振伟胡志刚张丰收许俊超
Owner HENAN UNIV OF SCI & TECH
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