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Fetal electrocardiogram signal extracting method based on wavelet threshold denoising

A wavelet threshold denoising, fetal ECG technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as large amount of calculation, and achieve the effect of easy implementation, suppression of maternal ECG, and good real-time performance

Inactive Publication Date: 2012-11-21
BEIJING UNIV OF TECH
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Problems solved by technology

In addition, the wavelet modulus maximum algorithm is used for fetal ECG extraction. It detects the singular value in the abdominal signal through the maximum value method in the wavelet domain, cancels the singular point of the maternal ECG signal, and then obtains the fetal ECG. signal, but the reconstruction part is computationally intensive

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  • Fetal electrocardiogram signal extracting method based on wavelet threshold denoising

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Embodiment Construction

[0034] The extraction process is described in detail with reference to the accompanying drawings and practical examples. The data used are the first channel data obtained from the DaISy database. The following is a step-by-step introduction:

[0035] 1. Take the first 1024 points of the ECG data, decompose them with a scale of 3 stationary wavelets, select the function "db2", and obtain the wavelet approximation coefficients and detail coefficients at each scale, as shown in the attached Figure 6 As shown, from top to bottom in the figure are the abdominal ECG signal, the three-layer approximation coefficients a1-a3, and the three-layer detail coefficients d1-d3.

[0036] The wavelet transform is derived as follows:

[0037] ψ(t) is a base wavelet or mother wavelet, after expansion and translation, a wavelet sequence can be obtained:

[0038] ψ a , b ( t ...

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Abstract

The invention discloses a fetal electrocardiogram signal extracting method based on wavelet threshold denoising. The method comprises the following steps of: carrying out stationary wavelet transform processing on a maternal abdomen signal, and decomposing to obtain each layer of wavelet coefficient; independently processing each layer of wavelet detail coefficient, removing fetal electrocardiogram wavelet coefficients, reconstructing remained maternal electrocardiogram wavelet coefficients, and obtaining maternal electrocardiogram in the abdomen signal; removing the reconstructed maternal electrocardiogram from the abdomen signal to obtain a fetal electrocardiogram signal; and denoising the extracted fetal electrocardiogram by utilizing a wavelet correlation denoising algorithm to obtain a clear fetal electrocardiogram signal. Due to the method, the accurate extraction of the fetal electrocardiogram signal can be realized. The method is based on a single channel, the computation of wavelet transform modulus maxima is avoided, and better instantaneity is realized.

Description

technical field [0001] The invention belongs to the technical field of fetal electrocardiogram signal detection, in particular to a method for extracting fetal electrocardiogram based on wavelet threshold value denoising, which is a transformation technology for the extraction of fetal electrocardiogram signals by wavelet modulus maximum algorithm. Background technique [0002] Fetal monitoring is currently an important means to ensure the safety of perinatal pregnant women and fetuses and to achieve eugenics. During the perinatal period, the fetus is temporarily hypoxic due to umbilical cord compression or other reasons, which can cause asphyxia, mental retardation, dementia and even death. According to statistics, a large part of mentally handicapped children in our country is caused by dysplasia or premature birth due to hypoxic distress during fetal growth, and 25% of fetal deaths can also be avoided. As the society attaches great importance to the health of mothers and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0444A61B5/344
Inventor 吴水才沈燕妮白燕萍高小峰
Owner BEIJING UNIV OF TECH
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