ABSTRACT
Long-term and frequent checking of a fetal health state is still a difficult task, mainly in high-risk type of pregnancies. This chapter shows a fully non-invasive technique to extract out the fetal heart sound (FHS) from sound signals which are recorded from the surface of mothers abdominal. This chapter mainly relates to fetal phonocardiogram (fPCG) processing of signal. Signal denoising is always a major task after recording the signal, so in this chapter basically, two types of denoising methods that are finite impulse response filter (FIR Filter) and empirical mode decomposition (EMD) methods are used and compared. For testing, or comparing these two, recordings of real dataset were used, and the estimate depends 172on cognitive observation and signal advancement after performing both methods. The results in this chapter proved that both the methods assisted for improving fetal PCG signal by de-noising the signal. On the ground of the results, in the end we concluded that EMD as a suitable method for denoising and processing the fetal PCG signal.
