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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| Format: | Proceeding Paper |
| Language: | en |
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Institute of Electrical and Electronics Engineers (IEEE)
2009
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| 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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| 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 |
| building | IIUM Library |
| collection | Institutional Repository |
| content_provider | International Islamic University Malaysia |
| content_source | IIUM Repository (IREP) |
| continent | Asia |
| country | Malaysia |
| 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 | Proceeding Paper |
| id | my.iium.irep-821 |
| institution | Universiti Islam Antarabangsa Malaysia |
| language | en |
| publishDate | 2009 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |
| url_provider | http://irep.iium.edu.my/ |