Publication: Detection of fetal electrocardiogram signals from maternalabdominal ecg recordings
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Date
2023-03-01
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Abstract
Fetal electrocardiogram (fECG) is a signal that contains vital information about the health of the fetus
throughout pregnancy. During pregnancy, it is important to monitor and analyse this signal because it
represents the electrical activity of the developing fetal heart. Early detection of fetal ECG problems
during the fetus' development is crucial because it allows early treatment and provides knowledge
about diseases that may emerge at a later time. Extraction of fetal ECG from the abdomen ECG signal
is valuable in these aspects. In order to extract the fetal ECG from the recorded abdomen ECG signals
correctly, it must be handled appropriately. It could be challenging to separate the fetal ECG signal
from other physiological artifacts and noises in the mother abdominal signal. In this study, signal
processing techniques were used to separate the fetus ECG signal from real abdominal ECG
recordings. These methods include Ensemble Empirical Based Denoising, Finite Impulse Response
Filter, Independent Component Analysis, and Pan & Tompkins approach. The results show that
utilizing only the ICA technique to extract fECG signals is insufficient and that additional algorithms,
such as those indicated above, should be used together. The mECG and fECG signals can be
successfully extracted using the suggested approach.
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Keywords
fECG extraction, mECG and fECG separation, Wearable fECG monitoring
Citation
BAŞPINAR U., KÖYLÜ Y., "DETECTION OF FETAL ELECTROCARDIOGRAM SIGNALS FROM MATERNAL
ABDOMINAL ECG RECORDINGS", Journal of scientific reports-A (Online), sa.52, ss.266-278, 2023