NN-Based FECG extraction from the composite abdominal ECG
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...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2008
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/36226/1/NN-BASED_FECG_EXTRACTION_FROM_THE_COMPOSITE_ABDOMINAL_ECG.pdf http://irep.iium.edu.my/36226/ |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | 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 thi
s
paper is to illustrate the developed algorithms on
FECG signal extraction from the abdominal ECG
signal using Neural Network approach is to provide
efficient and effective ways of separating and
understanding the FECG signal and its nature. The
FECG signal was isolated from the abdominal signal
by neural network approach with different learning
constant value and momentum as well so that
acceptable signal can be considered. According to
the output it can be said that the algorithm is
working satisfactory on high learning rate and low
momentum value. The method appears to be
exceedingly robust, correctly isolate the FECG
signal from abdominal ECG. |
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