관계상관식을 이용한 QRS 패턴분류

Pattern Classification of the QRS-complexes Using Relational Correlation

  • 황선철 (연세대학교 공과대학 전기공학과) ;
  • 정희교 (연세대학교 공과대학 전기공학과) ;
  • 신건수 (연세대학교 공과대학 전기공학과) ;
  • 이병채 (연세대학교 공과대학 전기공학과) ;
  • 이명호 (연세대학교 공과대학 전기공학과)
  • 발행 : 1990.11.17

초록

This paper describes a pattern classification algorithm of QRS-complexes using significant point detection for extracting features of signals. Significant point extraction was processed by zero-crossing method, and decision function based on relational spectrum was used for pattern classification of the QRS-complexes. The hierarchical AND/OR graph was obtained by decomposing the signal, and by use of this graph, QRS's patterns were classified. By using the proposed algorithm, the accuracy of pattern classification and the processing speed were improved.

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