Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Removing Baseline Drift in ECG Signal using Morphology-pair Operation and median value

Morphology-pair 연산과 중간 값을 이용한 심전도 신호의 기저선 변동 잡음 제거

  • Park, Kil-Houm (School of Electronics Engineering, Kyungpook National University) ;
  • Kim, Jeong-Hong (School of Computer and Information, Kyungpook National University)
  • 박길흠 (경북대학교 전자공학부) ;
  • 김정홍 (경북대학교 컴퓨터정보학부)
  • Received : 2014.03.25
  • Accepted : 2014.08.11
  • Published : 2014.08.30
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Abstract

This paper proposed the method of removing baseline drift by eliminating local maxima such as P, R, T-wave signal region and local minima Q, S-wave signal region. We applied morphology-pair operations improved from morphology operation to the ECG signal. To eliminate overshoot in the result of morphology-pair operation, we apply median value operation to the result of morphology-pair operation. We use MIT/BIH database to estimate the proposed algorithm. Experiment result show that proposed algorithm removing baseline drift effectively without orignal ECG signal distortion.

본 논문에서는 심전도 파형에서 P, R, T-wave와 같은 local maxima 신호 영역과 Q, S-wave와 같은 local minima 신호영역을 제거하여 기저선 변동 잡음을 제거하기 위한 방법을 제시한다. 이를 위해 형태연산을 개선한 morphology-pair 연산을 심전도 파형에 적용하고, 그 결과 발생되는 돌출 파형을 제거하고자 중간 값 연산을 적용하였다. 제안한 알고리즘의 성능을 확인하기 위해 실제 심전도 임상 데이터인 MIT/BIH 데이터베이스를 이용하였으며, 실험 결과 원 신호를 왜곡 하지 않고, 기저선 변동 잡음을 효과적으로 제거함을 확인하였다.

Keywords

References

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