Fetal Signal Reconstruction Based on Independent Components Analysis

摘要：

Independent component analysis (ICA) is an effective source separation method, and has been widely used in fetal signal detection from abdominal maternal electrocardiogram (ECG) and magnetocardiography (MCG). One difficulty with the application of ICA is to determine the character information of independent components. A method, based on a simple statistical parameter-kurtosis, is proposed in this paper to solve the problem. It has been successfully applied to remove the maternal signal and the noise from the raw fetal MCG (fMCG) data of a 28-week pregnant woman through a 5.channel fMCG detector. The method offers potential applications for online processing of fMCG using ICA.

关键词： Independent component analysis fetus Magnetocardiography signals reconstruction

作者: Yapeng Lee Shiqin Jiang

作者单位: School of Electronics and Information Engineering Tongji University Shanghai,P.R.China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-3

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）