The main purpose of this course is to do a deep review on recent methods of phonocardiogram-based diagnosis methods for fetal cases. Some of the main techniques / processing steps of the papers are (but not limited to):

- standard filtering in audio-domain,

- spectral methods (FT, STFT, Cepstrum, Hilbert transform, Wavelet transform, ...) I,

- spectral methods (FT, STFT, Cepstrum, Hilbert transform, Wavelet transform, ...) II,

- spectral methods (FT, STFT, Cepstrum, Hilbert transform, Wavelet transform, ...) III,

- signal energy-based considerations (on the basis of the underlying physiological reason),

- heuristic decisions (on the basis of the underlying physiological reason),

- data science approaches (neural networks with different input-data dimensions and with different network-architectures) I,

- data science approaches (neural networks with different input-data dimensions and with different network-architectures) II,

- data science approaches (neural networks with different input-data dimensions and with different network-architectures) III,

- further measurement modalities / environmental recordings facilitating the validation of the filtering and signal processing.

List of selected suggested and recommended literature: