Abstract
Fetal Electrocardiogram (fetal ECG) can reflects the tiny change in the potential of fetal heart activity cycle, which has become an main means for prenatal maternal and fetal safety. It has important theoretical significance and practical value to get a clear fetal electrocardiogram and improve the performance of fetal ECG extraction. In this paper, three typical fetal ECG extraction methods is studied, i.e., artificial neural networks, blind signal separation and adaptive filtering method. The results show that blind signal separation method is a relatively better extraction method for fetal ECG extraction, this method combined with empirical mode decomposition (EMD) denoising technology, it can get clearer fetal ECG.
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