Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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An implementation of automated ECG interpretation algorithm and system(IV) - diagnosis parameter extractor and classifier

심전도 자동 진단 알고리즘 및 장치 구현(V) - 진단 파라미터 추출 및 진단기

  • Kweon, H.J. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Jeong, K.S. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Lee, J.W. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Shin, K.S. (Dept. of Electrical Eng., Yonsei Univ.) ;
  • Lee, M.H. (Dept. of Electrical Eng., Yonsei Univ.)
  • 권혁제 (연세대학교 전기공학과) ;
  • 정기삼 (연세대학교 전기공학과) ;
  • 이정환 (연세대학교 전기공학과) ;
  • 신건수 (연세대학교 전기공학과) ;
  • 이명호 (연세대학교 전기공학과)
  • Published : 1996.05.17
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Abstract

The representative beat with high SNR could be obtained by the signal averaging, correct and fast detection of significant points and waveform boundary could be obtained by adoption of search interval. All experimental results of waveform boundary were compared with CSE database which had the 5 referees results and 11 ECG measurement programs. All results were within tolerance made by referees, especially the end point of T wave were more close to the referee's results than other 11 measurement programs. The diagnosis parameters that might be used in the Minnsota code criteria were extracted from the representative beat. The diagnostic classification were fulfilled using Minnsota code criteria. Through the comparison on the diagnosis results from designed automated ECG analyzer(YECGA) and the results ECG analyzer manufactured by Fukuda denshi(FCG-2201) in Japan, reliance of the performance on designed system(YECGA) could be validated.

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