Segmentation of S1-S2 Sounds in Phonocardiogram Records Using Wavelet Energies

YAMACLI M., Dokur Z., Ölmez T.

23rd International Symposium on Computer and Information Sciences (ISCIS), İstanbul, Turkey, 27 - 29 October 2008, pp.582-587 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/eptc.2008.4763496
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.582-587
  • Istanbul Technical University Affiliated: Yes

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.