Neural classification of lung sounds using wavelet coefficients

Abstract

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} }