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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/821/1/VHDL_modeling_of_fecg_extraction_from_the_composite_abdominal_ECG_using_artificial_intelligence.pdf
http://irep.iium.edu.my/821/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4939637&tag=1
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/821/1/VHDL_modeling_of_fecg_extraction_from_the_composite_abdominal_ECG_using_artificial_intelligence.pdf
http://irep.iium.edu.my/821/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4939637&tag=1
_version_ 1643604682122199040
score 13.211869

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