International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06) Fetal ECG Extraction Using Wavelet Transform Sydney Australia November 28-December 01 ISBN: 0-7695-2731-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.98
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.
Citation:
Hamid Hassanpour, Amin Parsaei, "Fetal ECG Extraction Using Wavelet Transform," cimca, pp.179, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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