Blind extraction method for electrocatdiogram of mother and electrocardiogram of fetus based on second-order statistical properties

A technology of second-order statistical characteristics and extraction method, which is applied in the field of blind extraction of maternal and fetal ECG signals, can solve the problems of poor extraction effect and inaccurate ECG signal cycle estimation, and achieves overcoming inaccurate cycle estimation and extraction effect. The effect of good, good time-varying properties

Active Publication Date: 2015-06-17
XIDIAN UNIV
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Problems solved by technology

Although this method uses the second-order statistical characteristics of the signal to simplify the computational complexity and improve the efficiency of blind separation of fetal ECG signals, there are still shortcomings that the method is not accurate enough for the period estimation of ECG signals, and due to over-reliance on Due to the diagonalization of different delay covariance matrices of the collected maternal and fetal ECG mixed signals, the extraction effect is not good for the collected mixed signals with small signal-to-noise ratio

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  • Blind extraction method for electrocatdiogram of mother and electrocardiogram of fetus based on second-order statistical properties
  • Blind extraction method for electrocatdiogram of mother and electrocardiogram of fetus based on second-order statistical properties
  • Blind extraction method for electrocatdiogram of mother and electrocardiogram of fetus based on second-order statistical properties

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[0039] The present invention will be further described below in conjunction with accompanying drawing:

[0040] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0041] Step 1, input electrophysiological mixed signal.

[0042] In the embodiment of the present invention, 8 electrophysiological mixed signals are input, and the electrophysiological mixed signals are synchronously collected from 5 electrophysiological mixed signals of the mother's chest and 3 electrophysiological mixed signals of the mother's abdomen. Refer to attached figure 2 As shown, 8 channels of electrophysiological mixed signal waveforms are input, figure 2 The abscissa in represents the time, and the ordinate represents the signal amplitude, figure 2 (a), (b), (c), (d), and (e) are 5-channel electrophysiological mixed signals collected from the mother's chest, figure 2 (f), (g), (h) are 3-channel electrophysiological mixed signals collected from the a...

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Abstract

The invention discloses a blind extraction method for an electrocardiogram of a mother and an electrocardiogram of a fetus based on second-order statistical properties. The problems that mixed signals with a small signal to noise ratio cannot be extracted well, and the extraction process works in an offline mode are solved. The method comprises the steps that (1) electrophysiological mixed signals are acquired, (2) preprocessing is carried out; (3) one path of mixed signal with a large signal to noise ratio is selected out; (4) a period is estimated; (5) an optimal electrocardiosignal vector quantity is obtained; (6) the electrocardiosignals are extracted. Compared with a mother and fetus electrocardiosignal extraction method in the prior art, the precision of the extracted signals is guaranteed, meanwhile, the method has the advantages of achieving real-time online extraction and being high in extraction efficiency, and the method can be used for extracting the electrocardiosignals of the mother and the fetus from the parent body electrocardiosignals collected by an electrocardiogram monitoring machine.

Description

technical field [0001] The present invention relates to the technical field of signal processing, and further relates to a method for blindly extracting maternal and fetal electrocardiographic signals based on second-order statistical characteristics in the technical field of biomedical signal processing. The present invention can be used for extracting the mother's and fetus's electrocardiogram signals from the mother's electrocardiogram signals collected by the electrocardiogram monitoring machine. Background technique [0002] The human electrocardiogram (ECG) is an objective indicator reflecting the physiological activities of the human body. The electrical signals measured from the body surface of pregnant women generally include maternal electrocardiogram (MECG), fetal electrocardiogram (FECG), other electrical signals of the human body (such as electromyographic signal EMG, etc.) and a mixed signal of observed background noise. Among the obtained electric signals mea...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0402A61B5/0444A61B5/344
Inventor 张伟涛杨若男袁晓光楼顺天
Owner XIDIAN UNIV
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