Cardiac Disorder Classification Using Heart Sounds Acquired by a Wireless Electronic Stethoscope

무선 전자청진 심음을 이용한 심장질환 분류

  • Kwak, Chul (Department of Control and Instrumentation, Chungbuk National University) ;
  • Lee, Yun-Kyung (Department of Control and Instrumentation, Chungbuk National University) ;
  • Kwon, Oh-Wook (Department of Control and Instrumentation, Chungbuk National University)
  • 곽철 (충북대학교 제어계측공학과) ;
  • 이윤경 (충북대학교 제어계측공학과) ;
  • 권오욱 (충북대학교 제어계측공학과)
  • Published : 2007.10.26

Abstract

Heart diseases are critical and should be detected as soon as possible. A stethoscope is a simple device to find cardiac disorder but requires keen experiences in heart sounds. We evaluate a cardiac disorder classifier by using heart sounds recorded by a digital wireless stethoscope developed in this work. The classifier uses hidden Markov models with circular state transition to model the heart sounds. We train the classifier using two kinds of data: One recorded by using our stethoscope and the other sampled from a clean heart sound database. In classification experiments using 165 sound clips, the classifier shows the classification accuracy of 82% in classifying 6 cardiac disorder categories.

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