• DocumentCode
    2682282
  • Title

    The Research of Lung Sound Signals Based on Cepstrum Analysis

  • Author

    Wang, Benjin ; Miao, Lei ; Dong, Huiying ; Zheng, Zeguang

  • Author_Institution
    Shenyang Ligong Univ., Shenyang, China
  • fYear
    2012
  • fDate
    28-30 May 2012
  • Firstpage
    934
  • Lastpage
    938
  • Abstract
    In this paper, we proposed a new method of signal processing techniques for the application of analyzing four typical lung-sound signals (tracheal breath sounds, vesicular breath sounds, inspiratory and expiratory stridor, and stridor). First, we focus on the estimation method of the sound source number in a lung disease. Second, we calculate the time interval of each sound source signal accurately. Finally, we put the delay time and the number of sound sources as the characteristics, and study the relationships between each pathological lung sound and the characteristics. The innovation of this paper is that utilizing the cepstrum analysis as a new idea to study the pathological diagnosis of lung diseases.
  • Keywords
    cepstral analysis; lung; medical signal processing; cepstrum analysis; delay time; expiratory stridor; inspiratory stridor; lung disease; lung sound signals; pathological lung sound; signal processing techniques; sound source number; time interval; tracheal breath sounds; vesicular breath sounds; Cepstrum; Delay; Delay effects; Diseases; Lungs; Time domain analysis; Transforms; cepstrum analysis; digital signal processing; lung sounds; spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Biotechnology (iCBEB), 2012 International Conference on
  • Conference_Location
    Macau, Macao
  • Print_ISBN
    978-1-4577-1987-5
  • Type

    conf

  • DOI
    10.1109/iCBEB.2012.439
  • Filename
    6245275