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Fetal ECG extraction from maternal abdominal ECG using neural network

Ibrahimy, Muhammad Ibn (2009) Fetal ECG extraction from maternal abdominal ECG using neural network. Journal of Software Engineering and Applications, 2 (5). pp. 330-334. ISSN 1945-3116

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Abstract

FECG (Fetal ECG) signal contains potentially precise information that could assist clinicians in making more appro-priate and timely decisions during pregnancy and labor. The extraction and detection of the FECG signal from com-posite maternal abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this paper is to illustrate the developed algorithms on FECG signal extraction from the abdominal ECG signal using Neural Network approach to provide efficient and effective ways of separating and understanding the FECG signal and its nature. The FECG signal was isolated from the abdominal signal by neural network approach with different learning constant value and momentum as well so that acceptable signal can be con-sidered. According to the output it can be said that the algorithm is working satisfactory on high learning rate and low momentum value. The method appears to be exceedingly robust, correctly isolate the FECG signal from abdominal ECG.

Item Type: Article (Journal)
Additional Information: 4637/928
Uncontrolled Keywords: Neural Network, FECG, Abdominal ECG, Heart Rate
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Ms Zati Atiqah Mohamad Tanuri
Date Deposited: 08 Aug 2011 10:52
Last Modified: 08 Aug 2011 10:52
URI: http://irep.iium.edu.my/id/eprint/928

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