• DocumentCode
    3629988
  • Title

    Segmentation of S1–S2 sounds in phonocardiogram records using wavelet energies

  • Author

    Mustafa Yamacli;Zumray Dokur;Tamer Olmez

  • Author_Institution
    Department of Electronics and Communication Engineering, Istanbul Technical University, 34469 Maslak, Turkey
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Locating S1 and S2 sounds in order to diagnose diseases by classifying through the determination of systole and diastole phases is of great significance. The method suggested in this study is available for the segmentation of S1-S2 sounds in heart sounds (HSs) acquired in real-time and it also renders the classifying possible, thereby ensuring a correct diagnosis.
  • Keywords
    "Heart","Performance evaluation","Cardiovascular diseases","Filtering","Cardiac disease","Wavelet transforms","Blood","Discrete wavelet transforms","Acoustical engineering","Noise robustness"
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Sciences, 2008. ISCIS ´08. 23rd International Symposium on
  • Print_ISBN
    978-1-4244-2880-9
  • Type

    conf

  • DOI
    10.1109/ISCIS.2008.4717964
  • Filename
    4717964
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3629988