title: Time-scale segmentation of respiratory sounds.
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.
authors.affiliation: Laboratoire des Signaux et Systèmes, CNRS/Univ. Paris-Sud and GdR-PRC ISIS, ESE, Gif sur Yvette, France. ademovic@lss.supelec.fr
authors.forename: E
authors.initials: E
authors.lastname: Ademovic
authors.forename: J C
authors.initials: JC
authors.lastname: Pesquet
authors.forename: G
authors.initials: G
authors.lastname: Charbonneau
mesh_terms: D000465:Algorithms; D006801:Humans; D008173:Lung Diseases, Obstructive / Q000175:diagnosis* / Q000503:physiopathology*; D009716:Numerical Analysis, Computer-Assisted / Q000295:instrumentation; D015203:Reproducibility of Results; D012135:Respiratory Sounds / Q000502:physiology / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013018:Sound Spectrography / Q000295:instrumentation / Q000379:methods*; D013997:Time Factors