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- W186503758 abstract "FECG (Fetal ECG) signal contains potentiallyprecise information that could assist clinicians inmaking more appropriate and timely decisionsduring pregnancy and labour. The extraction anddetection of the FECG signal from compositeabdominal signals with powerful and advancemethodologies is becoming a very importantrequirement in fetal monitoring. The purpose of thispaper is to illustrate the developed algorithms onFECG signal extraction from the abdominal ECGsignal using Neural Network approach is to provideefficient and effective ways of separating andunderstanding the FECG signal and its nature. TheFECG signal was isolated from the abdominal signalby neural network approach with different learningconstant value and momentum as well so thatacceptable signal can be considered. According tothe output it can be said that the algorithm isworking satisfactory on high learning rate and lowmomentum value. The method appears to beexceedingly robust, correctly isolate the FECGsignal from abdominal ECG." @default.
- W186503758 created "2016-06-24" @default.
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- W186503758 date "2008-01-01" @default.
- W186503758 modified "2023-09-27" @default.
- W186503758 title "NN-Based FECG extraction from the composite abdominal ECG" @default.
- W186503758 hasPublicationYear "2008" @default.
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