Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Biological signal processing using syntactic pattern recognition

SYNTACTIC 패턴인식에 의한 생체신호처리

  • Kim, Yong-Man (Dept. of Electrical Engineering, Yonsei University) ;
  • Kim, Jung-Hun (Dept. of Electrical Engineering, Yonsei University) ;
  • Jeong, Hee-Kyo (Dept. of Electrical Engineering, Yonsei University) ;
  • Lee, Myoung-Ho (Dept. of Electrical Engineering, Yonsei University)
  • 김용만 (연세대학교 전기공학과) ;
  • 김정훈 (연세대학교 전기공학과) ;
  • 정희교 (연세대학교 전기공학과) ;
  • 이명호 (연세대학교 전기공학과)
  • Published : 1987.07.03
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Abstract

A method of quantitative electrocardiogram analysis, based on concepts drawn from syntactic pattern recognition theories, is described. The algorithm can be used for removing the Interference noises and base line drift as a filter function, and for reducing the number of points representing the digitized ECG waveform. The Parsing is performed with simple finite state automata inferred by experiments and suitable to be updated during experiment execution. Two parameters are utilized for defining the noise and these make the algorithm flexible. The examples for testing the algorithm is real ECG waveforms with noise. Some experimental results lire presented.

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