In respect to the main goal of our ongoing work for analyzing fetal electrocardiogram (FECG) signals for monitoring the health of the fetus, we investigate in this paper the possibility of extracting the fetal heart rate (FHR) directly from the abdominal composite recordings. Our proposed approach is based on a combination of Independent Component Analysis (ICA) and least mean square (LMS) adap...

Objectives: This descriptive study was performed to evaluate the capability of a non-invasive transabdominal electrocardiographic system to extract clear fetal electrocardiographic (FECG) measurements from intrauterine growth restricted (IUGR) fetuses and to assess whether abdominal FECG parameters can be developed as markers for evaluating the fetal cardiac status in IUGR. Methods: Transabdomi...

A new method based on least square support vector machine (LSSVM) combined with FastICA is proposed to extract the fetal electrocardiogram (FECG) from the abdominal signals of a pregnant woman. Firstly, the LSSVM is applied to estimate the maternal electrocardiogram (MECG) component in the multiplex abdominal signals. Then the optimal estimation of multiplex noise-added FECG is obtained by remo...

Our aim was to measure the correlation between fetal electrocardiographic (FECG) recordings of low-risk pregnancies and polysomnographic (PSG) study parameters in low-risk infants born at term as a measurement of perinatal sleep-development continuity. We designed a short, prospective, observational follow-up of physiologic parameters between fetuses and newborns. We studied 10 fetuses from low...

In order to routinely monitor the fetal electrocardiogram (FECG), during labor, in an on-line real-time situation, the following processes need to be undertaken: The FECG signal must be recovered from noise. The recovered signal or waveform must be measured with a high degree of precision in order to generate the timing intervals, areas and parameters that are of interest to the clinician. The ...

Fetal Electrocardiogram (FECG) is a weak signal through placing the electrodes upon the maternal belly surface to indirectly monitor, which contains all the forms of jamming signal. So, how to separate the FECG from the strong background interference has important value of clinical application. Independent Component Analysis (ICA) is a kind of developed new Blind Source Separation (BSS) technol...

FECG (Fetal Electrocardiogram) is weak signal indirect monitored between the electrode that placed upon the mother abdominal the matrix surface, which contains all the forms of jamming signal. How to separate the Fetal from the strong background interference has important value of clinical application, but this is a difficult problem in the signal processing field. Independent Component Analysi...

Early fetal cardiac diseases and heart abnormalities can be detected appropriately treated by monitoring health during pregnancy. Advancements in computer sciences the technology of sensors show that is possible to monitor electrocardiogram (fECG). Both signal processing experimental aspects are needed investigated fECG. In this study, we aim design realize a non invasive fECG system. first par...

The fetal electrocardiogram (fECG) monitoring yields important information about the fetus condition during pregnancy and it consists in collecting electrical signals by some sensors on the body of the mother. The Independent Component Analysis (ICA) has been widely exploited to isolate the fECG, while wavelet transform has been used as post-processing tool. Here we propose to fit the recently ...

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...