Fetal electrocardiogram (fECG) monitoring is a technique for obtaining important information about the condition of the fetus during pregnancy and labour by measuring electrical signals generated by the fetal heart as measured from multi-channel potential recordings on the mother body surface. It is shown in this paper that the fetal ECG can be reconstructed by means of higher order statistical...

The non-invasive fetal electrocardiogram (fECG) technique has recently received considerable interest in monitoring fetal health. The aim of our paper is to propose a novel fECG algorithm based on the combination of the criteria of independent source separation and of a quality index optimization (ICAQIO-based). The algorithm was compared with two methods applying the two different criteria ind...

We introduce a new approach to constrained independent component analysis (ICA) by formulating the original, unconstrained ICA problem as well as the constraints in mutual information terms directly. As an estimate of mutual information, a robust version of the Edgeworth expansion is used, on which gradient descent is performed. As an application, we consider the extraction of both the mother a...

The multiple fundamental frequency detection problem and the source separation problem from a single-channel signal containing multiple oscillatory components and a nonstationary noise are both challenging tasks. To extract the fetal electrocardiogram (ECG) from a single-leadmaternal abdominal ECG, we need to solve both challenges. We propose a novel method to extract the fetal ECG from a singl...

BACKGROUND Fetal electrocardiography is a developing field that provides valuable information on the fetal health during pregnancy. By early diagnosis and treatment of fetal heart problems, more survival chance is given to the infant. OBJECTIVE MATERIALS AND METHODS Here, we extract fetal ECG from maternal abdominal recordings and detect R-peaks in order to recognize fetal heart rate. On t...

This paper describes a new method for extracting the fetal heart rate (fHR) and the fetal heart rate variability (fHRV) signal non-invasively using abdominal maternal electrocardiogram (mECG) recordings. The extraction is based on the fundamental frequency (Fourier’s) theorem. The fundamental frequency of the mother’s electrocardiogram signal (fo-m) is calculated directly from the abdominal sig...

A heart rate detection and separation framework for the fetal ECG extraction is been proposed, which uses genetic algorithm and wavelet signal analysis technique. The different arthymias are detected by using JQDC scheme. The maternal ECG signal is identified and separated as different components and the ECG signal is separated using wavelet analysis where the lower and upper signals are separa...

Intrauterine fetal demise due to utero-placental insufficiency usually occurs between obstetric evaluations when the gestation is not being actively monitored. Rapid advances in the development of “wearable” physiologic monitors linked to smart phone apps allow us to envision novel methods for evaluating the health of a pregnancy, potentially allowing intervention before fetal death or damage f...

The fetal heart rate (fHR) variability and electrocardiogram (fECG) are considered the most important sources of information about wellbeing. Non-invasive monitoring analysis fECG paramount for clinical trials. They enable examining health status detecting changes associated with insufficient oxygenation to cut likelihood hypoxic inj...