VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence

Hasan, Muhammad Asfarul and Ibrahimy, Muhammad Ibn and Uddin, Md. Jasim and Hussain, Mohammed Sazzad and Reaz, Mamun Ibn (2009) VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence. In: 2009 IEEE International Conference on Industrial Technology (ICIT), 10 - 13 Feb, 2009, Perth, Australia.

PDF (VHDL Modeling of FECG Extraction) Restricted to Registered users only Download (1MB) | Request a copy

Abstract

FECG (Fetal ECG) signal contains potentially precise information that could assist clinicians in making more appropriate and timely decisions during pregnancy and labour. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this paper is to model the developed algorithms on FECG signal extraction using VHDL (very high speed integrated circuit hardware description language) for FPGA (field programmable gate array) implementation from the abdominal ECG signal using neural network approach is to provide efficient and effective ways of separating FECG signal and its nature. The designed model has been synthesized and fitted into Altera's Stratix II EP2S15F484C3 using the Quartus II version 7.2 web edition. The method appears to be exceedingly robust, correctly isolate the FECG signal from abdominal ECG.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	4637/821 (Proceedings of IEEE International Conference on Industrial Technology (ICIT 2009), ISBN: 9781424435067)
Uncontrolled Keywords:	Abdomen, Data mining, Electrocardiography, Field programmable gate arrays, Hardware design languages, Integrated circuit modeling, Monitoring, Neural networks, Pregnancy, Very high speed integrated circuits
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear 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:	Dr Muhammad Ibrahimy
Date Deposited:	01 Jul 2011 14:57
Last Modified:	25 Jan 2012 10:36
URI:	http://irep.iium.edu.my/id/eprint/821

Actions (login required)

View Item