BACKGROUND The fetal anomaly ultrasound only detects 65 to 81 % of the patients with congenital heart disease, making it the most common structural fetal anomaly of which a significant part is missed during prenatal life. Therefore, we need a reliable non-invasive diagnostic method which improves the predictive value for congenital heart diseases early in pregnancy. Fetal electrocardiography co...

This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters (such as step size μ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode positions on the maternal body surface in improving the performance of these adap...

In this paper, we propose a technique of artificial intelligence called adaptive neuro fuzzy inference system (ANFIS) for canceling maternal electrocardiogram (MECG) in fetal electrocardiogram extraction (FECG).This technique is used to estimate the MECG present in the abdominal signal of a pregnant woman. The FECG is then extracted by subtracting the estimated MECG from the abdominal signal. P...

Fetal heart rate (FHR) monitoring is currently the primary methodology for antenatal determination of fetal well-being. Currently, the FHR can be detected with ultrasonography, but the additional information from fetal electrocardiogram (FECG) is only available via an invasive scalp electrode. A cost effective noninvasive monitoring through standard ECG electrodes could be used on nearly every ...

PURPOSE Advances in fetal cardiovascular magnetic resonance imaging have been limited by the absence of a reliable cardiac gating signal. The purpose of this work was to develop and validate metric-optimized gating (MOG) for cine imaging of the fetal heart. THEORY AND METHODS Cine MR and electrocardiogram data were acquired in healthy adult volunteers for validation of the MOG method. Compari...

Blind source separation (BSS) techniques are widely used to extract signals of interest from a mixture with other signals, such as extracting fetal electrocardiogram (ECG) signals from noninvasive recordings on the maternal abdomen. These BSS techniques, however, typically lack possibilities to incorporate any prior knowledge on the mixing of the source signals. Particularly for fetal ECG signa...

This study focuses on non-invasive fetal electrocardiogram extraction based a novel hybrid method, which combines the advantages of non-adaptive and adaptive approaches for morphological analysis. Besides estimating heart rate, is main parameter used in clinical practice, this provides ST segment analysis data from Abdominal Direct Fetal Electrocardiogram Database consisting simultaneous tradit...

background: the discovery of circulating fetal dna in maternal blood led to the discovery of new strategies to perform noninvasive testing for prenatal diagnosis. objective: the purpose of the study was to detect fetal aneuploidy at chromosomes 13, 18, 21, x, and y by analysis of fetal cell-free dna from maternal blood, without endangering pregnancy. materials and methods: this retrospective st...