Time-frequency scaling transformation of the phonocardiogram based of the matching pursuit method.
Résumé
A time-frequency scaling transformation based on the matching pursuit (MP) method is developed for the phonocardiogram (PCG). The MP method decomposes a signal into a series of time-frequency atoms by using an iterative process. The modification of the time scale of the PCG can be performed without perceptible change in its spectral characteristics. It is also possible to modify the frequency scale without changing the temporal properties. The technique has been tested on 11 PCG's containing heart sounds and different murmurs. A scaling/inverse-scaling procedure was used for quantitative evaluation of the scaling performance. Both the spectrogram and a MP-based Wigner distribution were used for visual comparison in the time-frequency domain. The results showed that the technique is suitable and effective for the time-frequency scale transformation of both the transient property of the heart sounds and the more complex random property of the murmurs. It is also shown that the effectiveness of the method is strongly related to the optimization of the parameters used for the decomposition of the signals.
Mots clés
Wigner distribution
bioacoustics
cardiology
echocardiography
medical signal processing
time-frequency analysis
decomposition
frequency scale
heart sounds
matching pursuit method
matching pursuit-based Wigner distribution
murmurs
phonocardiogram
scaling/inverse-scaling procedure
time-frequency atoms
time-frequency domain
time-frequency scaling transformation
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Time-Frequency_Scaling_Transformation_of_the_Phonocardiogram_Based_of_the_Matching_Pursuit_Method.pdf (249.69 Ko)
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