TY - GEN
T1 - VHDL modeling of fecg extraction from the composite abdominal ECG using artificial intelligence
AU - Hasan, Muhammad A.
AU - Ibrahimy, Muhammad I.
AU - Reaz, Mamun B.I.
AU - Uddin, Md J.
AU - Hussain, Mohammed S.
PY - 2009/5/19
Y1 - 2009/5/19
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=67650308400&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2009.4939637
DO - 10.1109/ICIT.2009.4939637
M3 - Conference contribution
AN - SCOPUS:67650308400
SN - 1424435064
SN - 9781424435067
T3 - Proceedings of the IEEE International Conference on Industrial Technology
BT - 2009 IEEE International Conference on Industrial Technology, ICIT 2009
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2009 IEEE International Conference on Industrial Technology, ICIT 2009
Y2 - 10 February 2009 through 13 February 2009
ER -