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

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 becom...

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Main Authors:	Hasan, Muhammad Asfarul, Ibrahimy, Muhammad Ibn, Uddin, Md. Jasim, Hussain, Mohammed Sazzad, Reaz, Mamun Ibn
Format:	Conference or Workshop Item
Language:	English
Published:	Institute of Electrical and Electronics Engineers (IEEE) 2009
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/821/ http://irep.iium.edu.my/821/ http://irep.iium.edu.my/821/ http://irep.iium.edu.my/821/1/VHDL_modeling_of_fecg_extraction_from_the_composite_abdominal_ECG_using_artificial_intelligence.pdf

id	iium-821
recordtype	eprints
spelling	iium-8212012-01-25T02:36:56Z http://irep.iium.edu.my/821/ VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence Hasan, Muhammad Asfarul Ibrahimy, Muhammad Ibn Uddin, Md. Jasim Hussain, Mohammed Sazzad Reaz, Mamun Ibn TK Electrical engineering. Electronics Nuclear engineering 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. Institute of Electrical and Electronics Engineers (IEEE) 2009-05-19 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/821/1/VHDL_modeling_of_fecg_extraction_from_the_composite_abdominal_ECG_using_artificial_intelligence.pdf 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. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4939637&tag=1 10.1109/ICIT.2009.4939637
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Hasan, Muhammad Asfarul Ibrahimy, Muhammad Ibn Uddin, Md. Jasim Hussain, Mohammed Sazzad Reaz, Mamun Ibn VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence
description	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.
format	Conference or Workshop Item
author	Hasan, Muhammad Asfarul Ibrahimy, Muhammad Ibn Uddin, Md. Jasim Hussain, Mohammed Sazzad Reaz, Mamun Ibn
author_facet	Hasan, Muhammad Asfarul Ibrahimy, Muhammad Ibn Uddin, Md. Jasim Hussain, Mohammed Sazzad Reaz, Mamun Ibn
author_sort	Hasan, Muhammad Asfarul
title	VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence
title_short	VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence
title_full	VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence
title_fullStr	VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence
title_full_unstemmed	VHDL Modelling of FECG Extraction from the Composite Abdominal ECG using Artificial Intelligence
title_sort	vhdl modelling of fecg extraction from the composite abdominal ecg using artificial intelligence
publisher	Institute of Electrical and Electronics Engineers (IEEE)
publishDate	2009
url	http://irep.iium.edu.my/821/ http://irep.iium.edu.my/821/ http://irep.iium.edu.my/821/ http://irep.iium.edu.my/821/1/VHDL_modeling_of_fecg_extraction_from_the_composite_abdominal_ECG_using_artificial_intelligence.pdf
first_indexed	2018-09-07T02:53:07Z
last_indexed	2018-09-07T02:53:07Z
_version_	1610915551888015360

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

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