The fetal ECG derived from abdominal leads provides an alternative to standard means of fetal monitoring. Furthermore, it permits long-term and ambulant recordings, which expands the range diagnostic possibilities for evaluating the fetal health state. However, due to the temporal and spectral overlap of maternal and fetal signals, the usage of abdominal leads imposes the need for elaborated si...

Fetal electrocardiograms (FECG) contain important indications about the health and condition of the fetus. In this respect, it is crucial to apply a robust algorithm to ECG data for extraction of the FECG signal. Most of the independent component analysis (ICA) algorithms used for this purpose rely on simple statistical models. Such algorithms can fail to separate desired signals when the assum...

Nowadays, ICA based methods are widely used. However, ICA needs multiples channels for collecting electrocardiogram signals. One of the most significant advantages of utilizing ANFIS networks in FECG extraction is that the methods require only two record signals, one thoracic signal and one abdominal ECG signal. In the present work, ANFIS network is apply to extract the FECG signal from both EC...

OBJECTIVES This paper describes a methodology for the monitoring of the fetal cardiac health status during pregnancy, through the effective and non-invasive monitoring of the abdominal ECG signals (abdECG) of the mother. METHODS For this purpose, a three-stage methodology has been developed. In the first stage, the fetal heart rate (fHR) is extracted from the abdECG signals, using nonlinear a...

OBJECTIVE Compare the accuracy and reliability of fetal heart rate identification from maternal abdominal fetal electrocardiogram signals (ECG) and Doppler ultrasound with a fetal scalp electrode. DESIGN Prospective open method equivalence study. SETTING Three urban teaching hospitals in the Northeast United States. SAMPLE 75 women with normal pregnancies in labor at >37 weeks of gestatio...

Fetal cardiac monitoring and assessment during pregnancy play a critical role in the early detection of potential risk fetal problems, thus allowing for timely preventive measures healthy births. It is necessary to continuously monitor heart this purpose. Methods by extracting maternal electrocardiograms (ECGs) from abdominal ECGs have been extensively investigated. However, extraction clear EC...

The purpose of the study was to compare the accuracy of a noninvasive fetal heart rate monitor with that of ultrasound, using a fetal scalp electrode as the gold standard, in laboring women of varying body habitus, throughout labor and delivery. Laboring women requiring fetal scalp electrode were monitored simultaneously with the investigational device (noninvasive fetal ECG), ultrasound, and f...

The aim of this paper is to model the algorithm for Fetal ECG (FECG) extraction from composite abdominal ECG (AECG) using VHDL (Very High Speed Integrated Circuit Hardware Description Language) for FPGA (Field Programmable Gate Array) implementation. Artificial Neural Network that provides efficient and effective ways of separating FECG signal from composite AECG signal has been designed. The p...

Vamshadeepa.N Asst. professor, Department of BME, ACSCE, Bangalore [email protected] Priyanka.H.B Student, Department of BME, ACSCE, Bangalore [email protected] Ashwini.V Student, Department of BME, ACSCE, Bangalore [email protected] -----------------------------------------------------------Abstract---------------------------------------------------------------------------...