An implementation of automated ECG interpretation algorithm and system(IV) - Typificator

심전도 자동 진단 알고리즘 및 장치 구현(IV) - 특성표시기

  • Kweon, H.J. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Jeong, K.S. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Song, C.G. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Shin, K.S. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Lee, M.H. (Dept. of Electrical Eng., Yonsei Univ.)
  • Published : 1996.05.17

Abstract

For the representative beat calculation and efficient rhythm analysis new method, that is, QRS typification were proposed. A problem that were resulted from pattern classification based on binary logic could be solved out by the fuzzy clustering and classification nodes could be reduced by using the proposed new feature vector. The accurate representative beat could be obtained by excluding the ST-T segment that happened outlier through ST-T segment typification procedure.

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