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Article type: Research Article
Authors: Ademovič, E.a; b | Pesquet, J.-C.a | Charbonneau, G.b
Affiliations: [a] Laboratoire des Signaux et Systèmes, CNRS/Univ. Paris-Sud and GdR-PRC ISIS, ESE, Plateau de Moulon, 91192 Gif sur Yvette, France | [b] Institut d’Électronique Fondamentale Université de Paris-Sud, 91405 Orsay, France. E-mail: ademovic@lss.supelec.fr
Abstract: Respiratory sounds are composed of various events: normal and so-called adventitious sounds. These phenomena present a wide range of characteristics which make difficult their analysis with a single technique. Adapted time-frequency and time-scale techniques allow to fit best, under constraints, the accuracy of analysis of a time segmentation and, by the way, make feasible the study of complex signals. We present here new approaches based only on the wavelet packet decomposition to segment respiratory sounds.
DOI: 10.3233/THC-1998-6107
Journal: Technology and Health Care, vol. 6, no. 1, pp. 53-63, 1998
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