VHDL modeling of fecg extraction from the composite abdominal ECG using artificial intelligence

Muhammad A. Hasan, Muhammad I. Ibrahimy, Md. Mamun Ibne Reaz, Md J. Uddin, Mohammed S. Hussain

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Industrial Technology
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Industrial Technology, ICIT 2009 - Churchill, VIC
Duration: 10 Feb 200913 Feb 2009

Other

Other2009 IEEE International Conference on Industrial Technology, ICIT 2009
CityChurchill, VIC
Period10/2/0913/2/09

Fingerprint

Computer hardware description languages
Electrocardiography
Artificial intelligence
Composite materials
Fetal monitoring
Integrated circuits
Field programmable gate arrays (FPGA)
Personnel
Neural networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

Cite this

Hasan, M. A., Ibrahimy, M. I., Ibne Reaz, M. M., Uddin, M. J., & Hussain, M. S. (2009). VHDL modeling of fecg extraction from the composite abdominal ECG using artificial intelligence. In Proceedings of the IEEE International Conference on Industrial Technology [4939637] https://doi.org/10.1109/ICIT.2009.4939637

VHDL modeling of fecg extraction from the composite abdominal ECG using artificial intelligence. / Hasan, Muhammad A.; Ibrahimy, Muhammad I.; Ibne Reaz, Md. Mamun; Uddin, Md J.; Hussain, Mohammed S.

Proceedings of the IEEE International Conference on Industrial Technology. 2009. 4939637.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hasan, MA, Ibrahimy, MI, Ibne Reaz, MM, Uddin, MJ & Hussain, MS 2009, VHDL modeling of fecg extraction from the composite abdominal ECG using artificial intelligence. in Proceedings of the IEEE International Conference on Industrial Technology., 4939637, 2009 IEEE International Conference on Industrial Technology, ICIT 2009, Churchill, VIC, 10/2/09. https://doi.org/10.1109/ICIT.2009.4939637
Hasan MA, Ibrahimy MI, Ibne Reaz MM, Uddin MJ, Hussain MS. VHDL modeling of fecg extraction from the composite abdominal ECG using artificial intelligence. In Proceedings of the IEEE International Conference on Industrial Technology. 2009. 4939637 https://doi.org/10.1109/ICIT.2009.4939637
Hasan, Muhammad A. ; Ibrahimy, Muhammad I. ; Ibne Reaz, Md. Mamun ; Uddin, Md J. ; Hussain, Mohammed S. / VHDL modeling of fecg extraction from the composite abdominal ECG using artificial intelligence. Proceedings of the IEEE International Conference on Industrial Technology. 2009.
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