Neural classification of lung sounds using wavelet coefficients


Electronic auscultation is an efficient technique to evaluate the condition of respiratory system using lung sounds. As lung sound signals are non-stationary, the conventional method of frequency analysis is not highly successful in diagnostic classification. This paper deals with a novel method of analysis of lung sound signals using wavelet transform, and… (More)
DOI: 10.1016/S0010-4825(03)00092-1



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@article{Kandaswamy2004NeuralCO, title={Neural classification of lung sounds using wavelet coefficients}, author={A. Kandaswamy and C. Sathish Kumar and Rm. Pl. Ramanathan and S. Jayaraman and N. Malmurugan}, journal={Computers in biology and medicine}, year={2004}, volume={34 6}, pages={523-37} }