Ademovic E, Pesquet J C, Charbonneau G
Laboratoire des Signaux et Systèmes, CNRS/Univ. Paris-Sud and GdR-PRC ISIS, ESE, Gif sur Yvette, France.
Technol Health Care. 1998 Jun;6(1):53-63.
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.
正常呼吸音和所谓的附加音。这些现象具有广泛的特征，使得用单一技术对其进行分析变得困难。自适应时频和时标技术能够在一定约束条件下，最优化时间分割的分析精度，从而使复杂信号的研究成为可能。我们在此提出仅基于小波包分解的新方法来分割呼吸音。
