The use of wavelet packets to improve the detection of cardiac sounds from the fetal phonocardiogram

This work evaluates the influence of preprocessing to defect time references of the first and second cardiac sounds (S1 and S2). Four fetal phonocardiogram (PDGf) signals with different signal to noise ratio (SNR) were simulated (150 cycles, 50-400 Hz) using acquired cardiac sounds. The signals were decomposed by Mutual Wavelet Packets and the best tree was de-noised before the signal reconstruction. The PCGf envelope was obtained by Hilbert Transform (HT), and the starting (S), maximum (M), and ending (E) points were detected for S1 and S2. The results were compared without and with the preprocessing stage, finding that the proposed method improves the SNR and the detection of the heart sounds.

[1]  D. G. Talbert,et al.  Wide Bandwidlt Fetal Phonography Using a Sensor Matched to the Compliance of the Mother's Abdominal Wall , 1986, IEEE Transactions on Biomedical Engineering.

[2]  Metin Akay From Continuous Wavelet Transform to Wavelet Packets: Application to the Estimation of Pulmonary Microvascular Pressure , 1998 .

[3]  J H Dripps,et al.  Real time processing and analysis of fetal phonocardiographic signals. , 1989, Clinical physics and physiological measurement : an official journal of the Hospital Physicists' Association, Deutsche Gesellschaft fur Medizinische Physik and the European Federation of Organisations for Medical Physics.

[4]  J Nagel,et al.  New diagnostic and technical aspects of fetal phonocardiography. , 1986, European journal of obstetrics, gynecology, and reproductive biology.

[5]  H. C. Lee,et al.  Automatic detection of sounds and murmurs in patients with lonescu-Shiley aortic bioprostheses , 2006, Medical and Biological Engineering and Computing.