Fetal movement signal detection method based on multi-acceleration sensor

ZHAO L-chen; WU Wei; ZENG Xian-yi; WANG Gao-feng

doi:10.13873/J.1000-9787(2016)12-0020-04

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Fetal movement signal detection method based on multi-acceleration sensor

更新时间：2025-09-11

- Fetal movement signal detection method based on multi-acceleration sensor
- Vol. 35, Issue 12, Pages: 20-23(2016)
- 作者机构：
  
  1. 江南大学物联网工程学院
  2. 杭州电子科技大学电子信息学院
  3. 法国国立纺织工艺学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)12-0020-04
  CLC： R714.5;TP212.9
- Published：2016
- 稿件说明：
移动端阅览
[1]赵吕晨,吴薇,曾宪奕,王高峰.基于多加速度传感器的胎动信号检测方法[J].传感器与微系统,2016,35(12):20-23.

ZHAO L-chen, WU Wei, ZENG Xian-yi, et al. Fetal movement signal detection method based on multi-acceleration sensor[J]. 2016, 35(12): 20-23.
[1]赵吕晨,吴薇,曾宪奕,王高峰.基于多加速度传感器的胎动信号检测方法[J].传感器与微系统,2016,35(12):20-23. DOI： 10.13873/J.1000-9787(2016)12-0020-04.

ZHAO L-chen, WU Wei, ZENG Xian-yi, et al. Fetal movement signal detection method based on multi-acceleration sensor[J]. 2016, 35(12): 20-23. DOI： 10.13873/J.1000-9787(2016)12-0020-04.

摘要

针对检测胎儿重要生理指标胎动信号的问题

提出了一种基于多加速度传感器的利用多种特征检测胎动的方法。采用带通滤波器和小波去噪对信号进行预处理;利用平滑Wigner-Ville分布（WVD）分析提取胎动信号的时域和时频域分布特征

引入了胎动信号分布在时频域的区域数量特征

采用基于Gabor字典和MP的方法提取该特征。根据所提取的特征

建立胎动信号的数学模型

实现了相应分类器。仿真结果显示:该算法具有较高的识别率和可靠性。

Abstract

A fetal movement detection method with multi-features based on multi-acceleration sensor is proposed aiming at monitoring the fetal health indicators. A FIR band-pass filter and wavelet denoising are used to preprocess the signal; smoothed Wigner-Ville distribution（ WVD） is used to analyze and extract features of time domain on fetal movements as well as the distribution in the time-frequency（ TF） domain. The number of the areas in the TF domain is imported as the most important recognition feature

extracted by Gabor dictionary and Matching pursuit（ MP）. A model predicting fetal movements is built up with these features. The simulation results show that the algorithm has high recognition rate and reliability.

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references

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一种阵列式胎动信号及子宫收缩信号监测腹带[J]. 王薇薇,杨琳,白骏,丑潇彬,熊劭青,许德昊,张松,杨益民,王普. 北京生物医学工程. 2012 (05)

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