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Objective: The utility of fetal heart rate (FHR) monitoring can only beachieved with an acquisition sampling rate that preserves the underlyingphysiological information on the millisecond time scale (1000 Hz rather than 4Hz). For such acquisition, fetal ECG (fECG) is required, rather than theultrasound to derive FHR. We tested one recently developed algorithm, SAVER,and two widely applied algorithms to extract fECG from a single channelmaternal ECG signal recorded over the xyphoid process rather than the routineabdominal signal. Approach: At 126dG, ECG was attached to near-term ewe andfetal shoulders, manubrium and xyphoid processes (n=12). FECG served as theground-truth to which the fetal ECG signal extracted from thesimultaneously-acquired maternal ECG was compared. All fetuses were in goodhealth during surgery (pH 7.29+/-0.03, pO2 33.2+/-8.4, pCO2 56.0+/-7.8, O2Sat78.3+/-7.6, lactate 2.8+/-0.6, BE -0.3+/-2.4). Main result: In all animals,single lead fECG extraction algorithm could not extract fECG from the maternalECG signal over the xyphoid process with the F1 less than 50%. Significance:The applied fECG extraction algorithms might be unsuitable for the maternal ECGsignal over the xyphoid process, or the latter does not contain strong enoughfECG signal, although the lead is near the mother's abdomen. Fetal sheep modelis widely used to mimic various fetal conditions, yet ECG recordings in apublic data set form are not available to test the predictive ability of fECGand FHR. We are making this data set openly available to other researchers tofoster non-invasive fECG acquisition in this animal model.

Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets