NDLI: Extricating non invasive fetal ECG by adaptive optimization technique

Content Provider	IEEE Xplore Digital Library
Author	Subhashini, S. Jagannath, D.J. Immanuel Selvakumar, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Commun., Karunya Univ., Coimbatore, India (Subhashini, S.; Jagannath, D.J.) \|\| Dept. of Electr. & Eng., Karunya Univ., Coimbatore, India (Immanuel Selvakumar, A.)
Abstract	A new methodology to Extricating the Fetal ECG from Abdominal Electrocardiogram signal. Two types of signals are taken from the mother's skin, one is Thoracic signal which is taken from the mother's chest and it is known as Maternal signal (MECG). The other type of signal is taken from abdomen of the mother and it is known as Abdominal signal (AECG).The Abdominal ECG includes the Fetal ECG (FECG) and Transformation of Maternal ECG (MECG), that may be a non linear signal with noise. For extricating process of a Fetal ECG, the non linear Maternal ECG is subtracted from the Abdominal ECG by using Adaptive Neuro Fuzzy Inference system (ANFIS). The valid synthetic ECG signal is obtained by using non-invasive method of external monitoring. The Abdominal ECG and Maternal ECG signal are preprocessed and with Adaptive Neural Network to get Fetal ECG and then it is trained with swarm intelligence used to increase the accuracy of fetal signal. By using this method Fetal ECG quality will increase.
Starting Page	1
Ending Page	5
File Size	1448546
Page Count	5
File Format	PDF
e-ISBN	9781479923205
DOI	10.1109/ECS.2014.6892659
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-13
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training FECG AECG Electrocardiography MECG ANFIS Mathematical model MATLAB Surface treatment Optimization Load modeling
Content Type	Text
Resource Type	Article

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