Wavelet Analysis on FECG Detection Using Two Electrodes System Device

Fetal electrocardiogram (FECG) signal detection during pregnancies is very useful in assessing fetal condition. Doppler ultrasound is very common in non-invasive FECG detection. It is safe, but inaccurate, highly sensitive to noise and the success of the measurement depends on the positioning of the probe. Recently, there are many research use non-invasive Ag/AgCl in FECG detection. However it involves large number of electrode during measurement. In addition, complex structures of signal processing are required. A study has been made on FECG detection using two electrodes biopotential device without reference electrode. Best possible electrode placement for maximum FECG waveforms detection has been identified. The FECG signals are successfully detected at 0.028Hz after processed using wavelet analysis

Techniques of FECG signal analysis: detection and processing for fetal monitoring

Fetal heart rate monitoring is a technique for obtaining important information about the condition of a fetus during pregnancy and labor, by detecting the FECG signal generated by the heart of the fetus. The ultimate reason for the interest in FECG signal analysis is in clinical diagnosis and biomedical applications. The extraction and detection of the FECG signal from composite abdominal signals with powerful and advance methodologies is becoming a very important requirement in fetal monitoring. The purpose of this review paper is to illustrate the various methodologies and algorithms on FECG signal detection and analysis to provide efficient and effective ways of understanding the FECG signal and its nature. A comparative study has been carried out to show the performance of various methods. This paper opens up a passage to biomedical researchers, physicians and end users to advocate an excellent understanding of FECG signal and its analysis procedures for fetal heart rate monitoring system by providing valuable information to help them in developing more dominant, flexible and resourceful application