Intelligent classification of fetal Doppler blood velocity waveform abnormalities using wavelet transform and vector quantization algorithm
Kurtuluş İzzetoğlu, Aydan M. Erkmen, Mehmet Sinan Beksaç · 2002
The approach presented in this paper uses the features, represented by wavelet coefficients, that are extracted from the variations of blood velocity waveforms obtained from Doppler ultrasound images of fetal umbilical arteries. The obtained reliable features form the training samples of a classification algorithm to be used in intelligent diagnostic for fetal surveillance.