… lung sound signals using wavelet transform, and classification using artificial neural network
(ANN). Lung sound … paper uses db8 wavelet for time-frequency analysis of lung sounds. 19-…

… The frequency distribution of lung sounds cannot be characterized by the simple statistics of
… wavelet coefficients. Cepstrum coefficients, particularly Mel frequency cepstrum coefficients (…

… In this study, we decomposed the lung sounds with WT to obtain every wavelet coefficients
matrix, and then create the input feature vectors for ANN. This greatly decreased the number …

… wavelets for lung sounds analysis and show that wavelets with one vanishing moment can
successfully detect pathological changes of the lung which produce sounds … sounds which …

… sounds signal and interferes in the analysis of lung sounds. In this paper, the use of a wavelet
… de-noising tool, implemented in lung sounds analysis, is presented. The multiresolution …

… lung sounds data were sampled from various subjects. Each signal is segmented to inspiration
and expiration. From their high dimension WPD coefficients… classify the lung sound types. …

… The signal energy is concentrated in a small number of wavelet coefficients and the co…
of the coefficients to remove noise. In our case of separating heart sounds from lung sounds …

… In this paper, eight wavelet coefficients get eight groups of lung sound positions, with eight
… of lung sounds and the subscript is the number of wavelet coefficients. The final location of …

… , a wavelet based classification system that aims to discriminate crackle, normal and wheeze
lung sounds … Malmurugan, “Neural classification of lung sounds using wavelet coefficients,” …

… sounds into several sub-bands before calculating some parameters. This study used five
lung sound classes obtained from various sources. Furthermore, the wavelet analysis process …