Fetal heart abnormalities were the most common congenital anomalies and it caused the infant to
have defects by birth. The fetal cardiac structure was small and due to fast movements the early diagnosis was too
difficult. In this report the abnormalities were determined from fetal abdominal ECG. Initially pre processing was
done to smoothen the waveform and for noise detection. This works based on adaptive filtering algorithm and
other signal processing techniques. One of the inputs for this filter was coefficient of abdominal ECG. The
correlations between the coefficients were computed using stationary wavelet algorithm and other comparing
filtering techniques. Finally a peak detection algorithm was used to find the QRS peak position and the accuracy
nearly about 97.663% of comparing with the standard filtering techniques.
