Categorization of Normal and Abnormal Heart Rhythms from Phonocardiogram Signals

Aslan S., ARICA S.

Medical Technologies Congress (TIPTEKNO), İzmir, Türkiye, 3 - 05 Ekim 2019, ss.48-50 identifier identifier

  • Cilt numarası:
  • Doi Numarası: 10.1109/tiptekno.2019.8894952
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.48-50


A Phonocardiogram (PCG) is a graphic record of heart sound is an important first step in evaluating the cardiovascular system. In this study, a phonocardiogram signal has been decomposed into S1, S2 and S4 waves and average power and dominant frequency has been computed from segmented bursts of these signals. A Bayes classifier has been used for categorizing normal and abnormal heart sounds. The results show that this simple approach is significant to determine some abnormalities in the heart rhythm.