  The present paper puts forward an incipient study that uses a traditional
segmentation method based on Zernike moments for extracting significant
features from frames of fetal echocardiograms from first trimester color
Doppler examinations. A distance based approach is then used on the obtained
indicators to classify frames of three given categories that should be present
in a normal heart condition. The computational tool shows promise in supporting
the obstetrician in a rapid recognition of heart views during screening.
