FECG delineation from abdominal signals using wavelet transform

Author

Hurezeanu, Bogdan ; Ungureanu, Georgeta Mihaela ; Taralunga, Dragos Daniel ; Strungaru, Rodica ; Gussi, Ilinca ; Wolf, Werner

Author_Institution

Appl. Electron. & Inf. Eng. Dept., Politeh. Univ. Bucharest, Bucharest, Romania

fYear

2014

fDate

16-18 Oct. 2014

Firstpage

518

Lastpage

521

Abstract

Analysis of the fetal electrocardiogram (fECG) obtained from abdominal signals can be a difficult task as the signal of interest is a weak signal, buried in several other signal components. Automatic assessment of fetus condition using abdominal signals (ADS) can be an important tool for clinicians, but, due to the high noise and considering the variation of the fECG morphology, its implementation is rather difficult. The current study proposes a wavelet approach for fECG analysis, which identifies its cyclic features.

Keywords

electrocardiography; medical signal processing; wavelet transforms; ADS; FECG delineation; abdominal signals; automatic assessment; cyclic features; fECG analysis; fECG morphology; fetal electrocardiogram; signal components; wavelet approach; wavelet transform; Electrocardiography; Hidden Markov models; Morphology; Noise; Wavelet analysis; Wavelet transforms; Delineation; abdominal signals; fECG; fetal heart rate (fHR); wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Power Engineering (EPE), 2014 International Conference and Exposition on

Conference_Location

Iasi

Type

conf

DOI

10.1109/ICEPE.2014.6969962

Filename

6969962