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

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

웨이브렛 변환을 이용한 심전도와 맥파의 특징점 인식

Recognition of Feature Points in ECG and Human Pulse using Wavelet Transform

  • 길세기 (인하대학교 전자공학과) ;
  • 신동범 (인하대학교 전자공학과) ;
  • 이응혁 (한국산업기술대학교 전자공학과) ;
  • 민홍기 (인천대학교 정보통신공학과) ;
  • 홍승홍 (인하대학 전자공학과)
  • 발행 : 2006.02.01
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초록

The purpose of this paper is to recognize the feature points of ECG and human pulse -which signal shows the electric and physical characteristics of heart respectively- using wavelet transform. Wavelet transform is proper method to analyze a signal in time-frequency domain. In the process of wavelet decomposition and reconstruction of ECG and human pulse signal, we removed the noises of signal and recognized the feature points of signal using some of decomposed component of signal. We obtained the result of recognition rate that is estimated about 95.45$\%$ in case of QRS complex, 98.08$\%$ in case of S point and P point and 92.81$\%$ in case of C point. And we computed diagnosis parameters such as RRI, U-time and E-time.

키워드

참고문헌

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