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… 
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Fetal ECG Extraction and QRS Detection using Independent Component Analysis
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  • Computer Science
    Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 1996
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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.
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Extraction of Fetal Electrocardiogram Using Adaptive Neuro-Fuzzy Inference Systems
  • K. Assaleh
  • Computer Science
    IEEE Transactions on Biomedical Engineering
  • 2007
The results show that the technique is capable of extracting the FECG even when it is totally embedded within the maternal QRS complex, and validate the technique on both real and synthetic ECG signals.
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Extracting fetal heart signal from noisy maternal ECG by multivariate singular spectrum analysis
A multivariate singular spectrum analysis (MSSA) for extracting and separating the mother heart signal, the fetal heart signal and the noise component from the combined ECGs is proposed.
An algorithm for extracting fetal electrocardiogram