Distortion measure of spectrograms for classification of respiratory diseases
Jeremy Levy,
Alexander Naitsat,
Yehoshua Y. Zeevi
Abstract:A new method for classification of respiratory diseases is presented. The method is based on a novel class of features, extracted from pulmonary sounds, by parameterizing their spectrograms that are represented as surfaces, and by utilizing geometrical distortions defined with reference to these surfaces. This method yields a set of highly descriptive features for analysis of pulmonary sound recordings. Furthermore, by combining these features with Mel-frequency cepstral coefficients, we introduce a powerful m… Show more
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