DocumentCode
3100374
Title
Fetal ECG Extraction Using Wavelet Transform
Author
Hassanpour, Hamid ; Parsaei, Amin
Author_Institution
Dept. of Comput. & Electr. Eng., Univ. of Mazandaran, Babolsar
fYear
2006
fDate
Nov. 28 2006-Dec. 1 2006
Firstpage
179
Lastpage
179
Abstract
This paper presents a new algorithm to extract the fetal ECG from an ECG recorded on the mother´s abdomen. The algorithm consists of two steps: first, ECG of fetus is extracted from the original signal using a two-level wavelet transform. We use Daubechie wavelet transform, which is similar in shape to heart beat wave. The resulted signal is then low-pass filtered using the Savitzky-Golay smoothing filter to attenuate the effect of noise. The filtered signal is considered as the fetal ECG. The algorithm was applied on both synthetic and real ECG signals. The results in this paper show that the proposed algorithm has promising performance.
Keywords
electrocardiography; feature extraction; filtering theory; medical signal processing; obstetrics; smoothing methods; wavelet transforms; Daubechie wavelet transform; Savitzky-Golay smoothing filter; fetal ECG extraction; heart beat waves; two-level wavelet transform; wavelet transform; Abdomen; Discrete wavelet transforms; Electrocardiography; Fetus; Frequency; Low pass filters; Shape; Signal processing; Smoothing methods; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
0-7695-2731-0
Type
conf
DOI
10.1109/CIMCA.2006.98
Filename
4052801
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