Maternal ECG-Guided Neural Network for Improved Fetal Electrocardiogram Extraction.

Historically, acquiring a reliable and accurate non-invasive fetal electrocardiogram has several significant challenges in both data acquisition and attenuation of maternal signals. These barriers include maternal physical/physiological parameters, hardware sensitivity, and the effectiveness of signal processing algorithms in separating maternal and fetal electrocardiograms. In this paper, we focus on the evaluation of signal-processing algorithms.

Spectrum of fetal echocardiographic findings in fetuses of women with clinical or serologic evidence of systemic lupus erythematosus.

Objective: To assess the prevalence of cardiac abnormalities in fetuses of women with clinical or serologic evidence of systemic lupus erythematosus (SLE).

Methods: A retrospective review of fetal echocardiograms performed secondary to maternal SLE or connective tissue antibodies with or without fetal complete heart block (CHB) was performed to evaluate the prevalence of fetal structural heart disease, valve regurgitation, abnormal ventricular function, pericardial effusion, endocardial fibroelastosis and rhythm abnormalities.

Results: Forty-one fetuses were studied.