대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)

대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
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심전도 자동 진단을 위한 QRS 파형의 분류

QRS classification for automated ECG diagnosis

  • 전대근 (연세대학교 보건과학대학 의용전자공학과) ;
  • 염호준 (연세대학교 보건과학대학 의용전자공학과) ;
  • 윤형로 (연세대학교 보건과학대학 의용전자공학과)
  • Jun, D.G. (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Yeom, H.J. (Department of Biomedical Engineering, College of Health Science, Yonsei University) ;
  • Yoon, H.R. (Department of Biomedical Engineering, College of Health Science, Yonsei University)
  • 발행 : 1997.05.23
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초록

The most important wave set in ECG is the QRS complex. Automatic classification of the QRS complex is very useful in the diagnosis of cardiac dysfunction. Also, diagnosis is influenced by selection of dominant beat. In this paper, we propose simple algorithm for QRS detection. And we determine correlation between significan attributes of QRS complexs. We evaluated the efficiency of proposed method with the CSE database.

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