东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (11): 1530-1533.DOI: 10.12068/j.issn.1005-3026.2017.11.003

• 信息与控制 • 上一篇    下一篇

一种基于体震信号的快速ICA胎儿心搏信号提取方法

蒋芳芳， 刘星航， 宁国琛， 耿若雪   

  1. (东北大学 中荷生物医学与信息工程学院， 辽宁 沈阳110819)
  • 收稿日期:2016-05-26 修回日期:2016-05-26 出版日期:2017-11-15 发布日期:2017-11-13
  • 通讯作者: 蒋芳芳
  • 作者简介:蒋芳芳(1983- )，女，辽宁沈阳人，东北大学讲师，博士.
  • 基金资助:
    中央高校基本科研业务费专项资金资助项目(N151904002)； 辽宁省自然科学基金资助项目(20170540313).

Fetal Heart Beat Extraction Method from Ballistocardiogram Signal Based on Fast Independent Component Analysis Algorithm

JIANG Fang-fang， LIU Xing-hang， NING Guo-chen， GENG Ruo-xue   

  1. Sino-Dutch Biomedical and Information Engineering School， Northeastern University， Shenyang 110819， China.
  • Received:2016-05-26 Revised:2016-05-26 Online:2017-11-15 Published:2017-11-13
  • Contact: JIANG Fang-fang
  • About author:-
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摘要： 常规胎儿心搏检测方法为胎儿心电信号检测，针对其需要在母体体表粘附多个电极，对检测环境和受试者的状态要求较高等问题，提出一种应用快速独立分量分析算法提取胎儿心搏信号的方法.该方法利用体震信号无需在体表安装电极的非接触检测优势，通过对母体体震信号主成分的分析，获取胎儿心搏成分分量，更适用于日常家庭无感监测的要求.通过采集45组母体体震信号及同步胎儿心电信号，验证算法的准确率为91.3%.

关键词: 胎儿心搏信号, 母体体震信号, 快速独立分量分析算法, 胎儿心电信号, 母体心电信号

Abstract: Routine fetal heart beat (FHB) clinical detection method is the fetal electrocardiogram (FECG) signal detection， which needs to attach multi-electrodes on the maternal body， limits the recordings during labor and causes inconvenience. Therefore， a non-invasive FHB detection method using fast independent component analysis (FastICA) algorithm was proposed. Through analyzing the principal component of maternal ballistocardiogram(MBCG)， FHB detection can be implemented without attaching electrodes to the subject， which is suitable for home unobtrusive health care. 45 groups of MBCG signals and maternal electrocardiogram (MECG) signals were collected synchronously to conduct the accuracy 91.3% .

Key words: fetal heart beat signal, maternal ballistocardiogram signal, fast independent component analysis algorithm, fetal electrocardiogram signal, maternal electrocardiogram signal

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