Doppler Fetal Heart Rate Detection Based on Wavelet Transform

杨晓峰; 张欣; 王金浦; 卞正中; 王波

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Doppler Fetal Heart Rate Detection Based on Wavelet Transform

更新时间：2025-12-08

- Doppler Fetal Heart Rate Detection Based on Wavelet Transform
- Vol. 41, Issue 8, Pages: 917-921(2007)
- 作者机构：
  
  西安交通大学生物医学信息工程教育部重点实验室,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP318;R318
- Online First：10 August 2007，
  
  Published：2007
- 稿件说明：
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杨晓峰, 张欣, 王金浦, et al. Doppler Fetal Heart Rate Detection Based on Wavelet Transform[J]. 2007, 41(8): 917-921.
DOI：

杨晓峰, 张欣, 王金浦, et al. Doppler Fetal Heart Rate Detection Based on Wavelet Transform[J]. 2007, 41(8): 917-921. DOI：

摘要

为了解决从超声多普勒胎儿心脏回波信号中提取胎音信号时

去除各种干扰和噪声的问题

分析了超声多普勒回波信号的特点

应用了基于小波变换的阈值去噪方法

并对该方法的去噪阈值和原始噪声方差的估计进行了研究.在实际应用中对该阈值算子的系数作了改进

使得该算法能根据实际信号的强度、噪声的方差以及分解的层数

自适应地得到不同尺度的去噪阈值.通过对实际超声多普勒回波信号的处理

信噪比比传统滤波法提高至少5倍以上

能有效地提取出胎儿心音信号

较准确地计算出胎儿心率值.

Abstract

To remove noise when extracting fetal heart sound from Doppler fetal heart echo signal

the threshold denoising method based on wavelet transform is adopted according to the signal features

and the denoising threshold and the estimation for original noise variance are investigated to modify the coefficient of threshold operators for different scales based on actual signal intensity

the noise variance and the number of decomposition layers. This method has been employed to process actual Doppler fetal heart echo signal

the result verifies that the method enables to heighten the signal-to-noise ratio by five times than the traditional filter and accurately calculate fetal heart rate.

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Keywords

references

Zhang Cuiying, Zhang Shangjun, Gao Shangkai. An improved auto-correlation method for Doppler fetal heart rate measurement [J].Journal of Biomedical Engineering, 2001, 18(3): 434.

Mallat S. A theory of multiresolution signal decomposition: the wavelet representation [J].IEEE Trans Pattern Anal Machine Intell, 1989, 11(7): 674-693.

程正兴. 小波分析与应用实例[M].西安:西安交通大学出版社,2006.

潘泉,张磊,孟晋丽,等. 小波滤波方法及应用[M].北京:清华大学出版社,2005.

Xu Yansun, Weaver J B, Healy D M,et al. Wavelet transform domain filters: a spatially selective noise filtration technique [J].IEEE Trans Image Processing, 1994, 3(6): 747-758.

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