The Transactions of the Korean Institute of Electrical Engineers D (대한전기학회논문지:시스템및제어부문D)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on the Extraction of Basis Functions for ECG Signal Processing

심전도 신호 처리를 위한 기저함수 추출에 관한 연구

  • 박광리 (용인송담대 의료정보시스템과) ;
  • 이전 (연세대 보건과학대 의공학과) ;
  • 이병채 (용인송담대 의료정보시스템과) ;
  • 정기삼 (용인송담대 의료정보시스템과) ;
  • 윤형로 (연세대 보건과학대 의공학과) ;
  • 이경중 (연세대 보건과학대 의공학과)
  • Published : 2004.04.01
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Abstract

This paper is about the extraction of basis function for ECG signal processing. In the first step, it is assumed that ECG signal consists of linearly mixed independent source signals. 12 channel ECG signals, which were sampled at 600sps, were used and the basis function, which can separate and detect source signals - QRS complex, P and T waves, - was found by applying the fast fixed point algorithm, which is one of learning algorithms in independent component analysis(ICA). The possibilities of significant point detection and classification of normal and abnormal ECG, using the basis function, were suggested. Finally, the proposed method showed that it could overcome the difficulty in separating specific frequency in ECG signal processing by wavelet transform. And, it was found that independent component analysis(ICA) could be applied to ECG signal processing for detection of significant points and classification of abnormal beats.

Keywords

References

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