NN-Based FECG extraction from the composite abdominal ECG

• Main Authors: Hasan, Muhammad Asraful, Ibrahimy, Muhammad Ibn, Reaz, Mamun Bin Ibne
• Format: Conference or Workshop Item
• Language: English
• Published: 2008
• Subjects: T Technology (General)
• 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/
• Institution: Universiti Islam Antarabangsa Malaysia

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.