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: here, we extract fetal ecg from maternal abdominal recordings and detect r-peaks in order to recognize fetal heart rate. on the next step, we find a b...

Wearable ECG sensors are growing in their popularity day by day. These ECG sensors run on batteries, hence carry a limited battery life. The ECG sensors are also used to monitor the fetal health, which are called FECG sensors. These sensors are used with the pregnant women for the fetal ECG monitoring to avoid the critical health hazards. In this research, the signal optimized for its easy tran...

This article deals with utilization of the combination of the fuzzy system and artificial intelligence techniques, called the Adaptive Neuro Fuzzy Inference System ANFIS, with the aim to refine the diagnostic quality of the abdominal fetal electrocardiogram FECG. Within the scope of the experiments carried out and based on the ANFIS structure the authors created a complex system for removing th...

Extraction of Clinical Information from the Non-Invasive Fetal Electrocardiogram Joachim Behar Thesis submitted for the degree of Doctor of Philosophy Balliol college Michaelmas 2014 Estimation of the fetal heart rate (FHR) has gained interest in the last century; low heart rate variability has been studied to identify intrauterine growth restricted fetuses (prepartum), and abnormal FHR pattern...

Fetal Electrocardiogram Extraction (FECG) identifies the congenital heart problems at the earlier stage. The major problem in the non invasive procedure is the extraction of FECG from Maternal ECG (MECG) and many interferences. The proposed methods (i) Combination of Adaptive Neuro Fuzzy Inference (ANFIS) and Fractional spline wavelet (ii) Combination of Fractional spline wavelet and ANFIS (iii...

background: fetal heart rate (fhr) extracted from abdominal electrocardiogram (ecg) is a powerful non-invasive method in appropriately assessing the fetus well-being during pregnancy. despite significant advances in the field of electrocardiography, the analysis of fetal ecg (fecg) signal is considered a challenging issue which is mainly due to low signal to noise ratio (snr) of fecg. objective...

The feasibility and accuracy of long-term transabdominal fetal electrocardiogram (fECG) recordings throughout pregnancy were studied using a portable fECG monitor. Fifteen-hour recordings of fetal heart rate (FHR) were performed in 150 pregnant women at 20-40 weeks of gestation and 1-hour recordings were performed in 22 women in labour and compared with simultaneous scalp electrode recordings. ...

non-invasive fetal electrocardiogram (FECG) signal extraction from signals recorded at abdominal area of mother is a challenging problem for the biomedical and signal processing communities. In this paper, we improve the FECG extraction approaches which consist to find the relation-ships between the cardiac potentials generated at the heart level of mother and the potentials recorded on the abd...

-The health of the fetus is of major concern to both obstetricians and expectant mothers. A non-invasive fetal electrocardiogram (FECG) system can monitor fetal cardiac condition during pregnancy. However, the FECG signal is often very weak or drowned out by the mother’s ECG (MECG) and other noises. This study uses a FastICA algorithm to the isolate FECG signal from other noise interference. Th...

A FETAL ELECTROCARDIOGRAPHIC ELECTRODEt Although it is sixty years since the first fetal electrocardiogram (FECG) was recorded by Cremer,1 it is only in recent years that attempts have been made to improve the FECG signal-to-noise ratio so that FECG configuration changes can be evaluated and the FECG used as a reliable trigger for automatic fetal heart rate (FHR) counting circuits. While the FE...