Comparison of audio signal codings for Zipf analysis of xiphoidal sounds

Abstract : We present in this paper a comparison of audio signal codings that we have developed in order to study xiphoidal sounds. These sounds are produced by the lower oesophageal sphincter whose dysfonctionnement can be responsible for the gastro-eosophageal reflux phenomenon. Our goal is to extract pertinent information from audio signals in order to characterize the pathology of the patients and its intensity, which is generally realized by invasive and traumatic methods such as radiological and manometric investigations. Several codings of audio signals are presented and compared. They are based on different representations of signals: temporal, frequential and time-scale representations. Zipf and inverse Zipf analyses are then performed. They allow the extraction of pertinent primitives, not available from standard signal processing methods. Finally, a clustering step is realized in order to bring to the fore clusters, linked to pathology characteristics. Two clustering methods have been used: a linear discriminant analysis, and a neural network clustering method.
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Communication dans un congrès
4th International EMBS Special Topic Conference on Information Technology Applications in Biomedicine, ITAB 2003, Apr 2003, Birmingham, United Kingdom. IEEE, pp.9-12, 2003, 〈10.1109/ITAB.2003.1222401〉
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https://hal.archives-ouvertes.fr/hal-01611019
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Soumis le : jeudi 5 octobre 2017 - 12:29:45
Dernière modification le : mardi 9 octobre 2018 - 11:46:07

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Emmanuel Dellandréa, Pascal Makris, Michèle Boiron, Nicole Vincent. Comparison of audio signal codings for Zipf analysis of xiphoidal sounds. 4th International EMBS Special Topic Conference on Information Technology Applications in Biomedicine, ITAB 2003, Apr 2003, Birmingham, United Kingdom. IEEE, pp.9-12, 2003, 〈10.1109/ITAB.2003.1222401〉. 〈hal-01611019〉

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