Methodological Survey on Fetal ECG Extraction

  title={Methodological Survey on Fetal ECG Extraction},
  author={M. Anisha and Dr.S.S Kumar and M. Benisha},
  journal={IOSR Journal of Computer Engineering},
Fetal Electrocardiogram (FECG) signal, non-invasively taken from the Abdominal Electrocardiogram (AECG) of a pregnant woman is a efficient diagnostic tool for evaluating the health status of fetus. Clinically significant information in the Fetal Electrocardiogram signal is often masked by Maternal Electrocardiogram (MECG) considered as the most predominant interference, power line interference, and maternal Electromyogram (EMG), baseline wander etc. Fetal Electrocardiogram signal features may… 

Fetal ECG Extraction and QRS Detection using Independent Component Analysis

This methodology is an efficient mechanism for extracting fetal ECG signal, non-invasively taken from abdominal ECG, by using independent component analysis (ICA) and adaptive filtering technique.

Design and Realization of Non Invasive Fetal ECG Monitoring System

An efficient hardware design to well monitor the heart activity and a method to extract the fetal electrocardiogram FECG by using Independent Component Analysis (ICA) and Wavelet Transform (WT).

Fetal Heart Rate Monitoring from Phonocardiograph Signal Using Repetition Frequency of Heart Sounds

The proposed FHR monitoring method can track time-varying heart rate without both heart sound burst identification and denoising, and the average accuracy rate comparison to benchmark is 88.3%.

Computerised simulation of fetal heart rate signals

An updating of a procedure previously published for the computerized simulation of fetal heart rate signals is described in order to obtain more realistic signals, and results are satisfying, in that new simulated signals appear less regular and more complex, and hence more similar to real signals.



Detecting the Fetal Electrocardiogram by Wavelet Theory-Based Methods

This work uses continuous waveform analysis (CWT) to allow all of the ECG waveforms to be observed, such as the P wave, QRS complex, and T wave, and proves that the observed waveforms were not due to noise but actually were FECG wave forms.

Maternal ECG removal from non-invasive fetal ECG recordings

It can be concluded that the presented method is capable of a more accurate removal of the mECG signal for all simulated abdominal recordings with respect to the linear prediction method.

Separation of fetal electrocardiography (ECG) from composite ECG using adaptive linear neural network for fetal monitoring

An adaptive method to separate fetal ECG from composite electrocardiography (ECG) that consists of both maternal and fetal ECGs by using adaptive linear neural network (ADALINE) for easy fetal monitoring is described.

Fetal electrocardiogram extraction based on non-stationary ICA and wavelet denoising

It is shown in this paper that the fetal ECG can be reconstructed by means of higher order statistical tools exploiting ECG nonstationarity associated with post-denoising with wavelets.

Application of wavelet analysis in detection of fetal ECG

  • Y. DatianOu Xuemei
  • Computer Science
    Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 1996
Tests on clinical data have shown that the proposed wavelet analysis method can be effective in detecting the FECG signal in many cases when compared with other methods in practice.

A novel model for abdominal electrocardiography of a pregnant woman

  • F. S. NajafabadiE. ZahediM.A.B.M. Ali
  • Computer Science
    2005 Asian Conference on Sensors and the International Conference on New Techniques in Pharmaceutical and Biomedical Research
  • 2005
It is concluded that ICA works magnificent in order to extract FECG even in SNR = -200 dB using simulated data without quantification noise, and it showed that the performance was drastically decreased in existence ofquantification noise.

Fetal ECG extraction from single-channel maternal ECG using singular value decomposition

The extraction of fetal electrocardiogram (ECG) from the composite maternal ECG signal obtained from the abdominal lead is discussed. The proposed method employs singular value decomposition (SVD)

Extracting fetal electrocardiogram signal using ANFIS trained by genetic algorithm

  • M. NasiriK. Faez
  • Computer Science
    2012 International Conference on Biomedical Engineering (ICoBE)
  • 2012
This paper uses a method for extracting FECG by subtracting the aligned version of the MECG signal from the abdominal ECG (AECG) signal and uses Adaptive Neuro-Fuzzy Inference System (ANFIS) structure to identify the nonlinear transformation.

Comparative analysis of fetal electrocardiogram (ECG) extraction techniques using system simulation

A system simulation to compare between two adaptive filters based on recursive least square (RLS) and normalized least mean square (NLMS) in their use for fetal heart rate monitoring shows that adaptive filtering using RLS algorithm performs better in extracting the fetal ECG signal.

Extraction of Fetal Cardiac Signals from an Array of Maternal Abdominal Recordings

The objective is to improve the signal processing aspects of fetal cardiography and to provide better insights of this problem, by developing new techniques for the modeling and filtering of fetal ECG signals recorded from an array of electrodes placed on the maternal abdomen.