An efficient method for fetal electrocardiogram extraction from the abdominal electrocardiogram signal

Hasan, Muhammad Asfarul and Ibrahimy, Muhammad Ibn and Reaz, Mamun Ibn (2009) An efficient method for fetal electrocardiogram extraction from the abdominal electrocardiogram signal. Journal of Computer Science, 5 (9). pp. 619-623. ISSN 1549-3636

PDF (An efficient method for fetal electrocardiogram extraction from the abdominal electrocardiogram signal) Restricted to Registered users only Download (145kB) | Request a copy

Abstract

Problem statement: FECG (Fetal Electrocardiogram) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during pregnancy and labor. Approach: Conventional techniques were often unable to achieve the extraction of FECG from the Abdominal ECG (AECG) in satisfactorily level. A new methodology by combining the Artificial Neural Network (ANN) and Correlation (ANNC) approach had been proposed in this study. Results: The accuracy of the proposed method for FECG extraction from the AECG signal was about 100% and the performance of the method for FHR extraction is 93.75%. Conclusions/Recommendations: The proposed approach involved the FECG extraction even though the MECG and FECG are overlapped in the AECG signal so that the physician and clinician can make the correct decision for the well-being of the fetus and mother during the pregnancy period.

Item Type:	Article (Journal)
Additional Information:	4637/1224
Uncontrolled Keywords:	FECG, AECG, artificial neural network, QRS complex
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Ms Zati Atiqah Mohamad Tanuri
Date Deposited:	29 Jul 2011 09:19
Last Modified:	29 Jul 2011 09:20
URI:	http://irep.iium.edu.my/id/eprint/1224

Actions (login required)

View Item