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Communication Dans Un Congrès Année : 2013

Shannon entropy based on the S-Transform Spectrogram. Applied on the classification of heart sounds

Résumé

The aim of this study is to present a complexity measure (Normalized Shannon Entropy) based on the S-Transform Spectrogram (ST-Spectrogram) plane, which can be considered as a variant of the Cohen's class. The ST-Spectrogram verifies the non-negativity condition which makes the application of the famous Shannon Entropy measure possible. A concrete application presented in this paper consists to detect pathologic heart sounds with systolic murmurs. A systolic period which contains murmurs is usually more complex than normal sound. The complexity measure applied on the ST-Spectrogram is used as feature to classify normal and pathologic heart sounds. A comparison with the classical spectrogram (STFT-Spectrogram) is performed by calculating the different Receiver Operating Curves (ROC) and the robustness against additive Gaussian noise is discussed.

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Dates et versions

hal-04559933 , version 1 (25-04-2024)

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  • HAL Id : hal-04559933 , version 1

Citer

Ali Moukadem, Alain Dieterlen, Christian Brandt. Shannon entropy based on the S-Transform Spectrogram. Applied on the classification of heart sounds. IEEE Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) (2013-05-26, 2013-05-31: Vancouver, Canada), May 2013, Vancouver, Canada. ⟨hal-04559933⟩

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