A novel signal processing method using wavelet decomposition and adaptive filtering can successfully extract fetal ECG from maternal abdominal signals.
The well-being and status of the fetus can be assessed from foetal electrocardiogram (fECG) signal. Extraction of the fECG that is embedded in the maternal ECG (mECG) is a challenging problem. In this paper, a wavelet decomposition along with two-stage adaptive filtering (WAF) is used to extract the fECG from the maternal abdominal signal. fECG extraction is from two signals recorded at the thoracic and abdominal areas of the mother’s skin. The thoracic ECG (tECG) is assumed to be almost completely maternal whereas the abdominal ECG (aECG) is considered to be composite, as it contains both the mother’s and fetus ECG signals. The proposed four methods are applied to real ECG signals. The test results show that the proposed algorithms are capable of extracting the fECG signal and the results are presented.
No takes yet. Share an insight, caveat, or question.
Swarnalatha et al. (2011) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: