Using Wavelet Transforms or Characteristic Points Extraction and Noise Reduction of ECG Signal

ECG신호의 잡음제거와 특징점 검출을 위한 웨이브렛 변환의 적용

  • 장두봉 (남해전문대학 전자통신과) ;
  • 이상민 (남해전문대학 전자통신과) ;
  • 신태민 (경상대학교 전자공학과) ;
  • 이건기 (경상대학교 전자공학과) ;
  • 김남현 (연세대학교 의용공학교실)
  • Published : 1997.11.28

Abstract

One of the main techniques or diagnosing heart disease is by examining the electrocardiogram(ECG). Many studies on detecting the QRS complex, P, and T waves have been performed because meaningful information is contained in these parameters. However, the earlier detecting techniques can not effectively extract those parameters from the ECG that is severely contaminated by noise source such 60Hz powerline interference, motion artifact and baseline drift. in this paper, we performed the extracting parameters from and recovering the ECG signal using wavelet transform that has recently been applying to various fields.

Keywords