Categorization of Normal and Abnormal Heart Rhythms from Phonocardiogram Signals


Aslan S., ARICA S.

Medical Technologies Congress (TIPTEKNO), İzmir, Turkey, 3 - 05 October 2019, pp.48-50 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/tiptekno.2019.8894952
  • City: İzmir
  • Country: Turkey
  • Page Numbers: pp.48-50

Abstract

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.