Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising

Author

Vigneron, V. ; Paraschiv-Ionescu, A. ; Azancot, A. ; Sibony, O. ; Jutten, C.

Author_Institution

LIS, INPG, Grenoble, France

Volume

2

fYear

2003

fDate

1-4 July 2003

Firstpage

69

Abstract

Fetal electrocardiogram (fECG) monitoring is a technique for obtaining important information about the condition of the fetus during pregnancy and labour by measuring electrical signals generated by the fetal heart as measured from multi-channel potential recordings on the mother body surface. It is shown in this paper that the fetal ECG can be reconstructed by means of higher order statistical tools exploiting ECG nonstationarity associated with post-denoising with wavelets. The method is illustrated on real fetal ECG data.

Keywords

electrocardiography; independent component analysis; medical signal processing; obstetrics; signal denoising; wavelet transforms; fetal electrocardiogram monitoring; fetal heart; fetus; higher order statistical tools; measuring electrical signals; mother body surface; nonstationary ICA; pregnancy; wavelet denoising; Condition monitoring; Data mining; Electric variables measurement; Electrocardiography; Fetal heart; Fetus; Independent component analysis; Noise reduction; Pregnancy; Signal generators;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on

Print_ISBN

0-7803-7946-2

Type

conf

DOI

10.1109/ISSPA.2003.1224817

Filename

1224817