FECG delineation from abdominal signals using wavelet transform

Abstract

Analysis of the fetal electrocardiogram (fECG) obtained from abdominal signals can be a difficult task as the signal of interest is a weak signal, buried in several other signal components. Automatic assessment of fetus condition using abdominal signals (ADS) can be an important tool for clinicians, but, due to the high noise and considering the variation of the fECG morphology, its implementation is rather difficult. The current study proposes a wavelet approach for fECG analysis, which identifies its cyclic features.