Pattern recognition methods applied to respiratory sounds classification into normal and wheeze classes

Abstract

In this paper, we present the pattern recognition methods proposed to classify respiratory sounds into normal and wheeze classes. We evaluate and compare the feature extraction techniques based on Fourier transform, linear predictive coding, wavelet transform and Mel-frequency cepstral coefficients (MFCC) in combination with the classification methods based… (More)
DOI: 10.1016/j.compbiomed.2009.06.011

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