한국지능시스템학회논문지 (Journal of the Korean Institute of Intelligent Systems)

  • 제20권4호
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  • Pages.574-579
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  • 2010
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  • 1976-9172(pISSN)
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  • 2288-2324(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Morphology-pair를 이용한 심전도 신호의 기저선 변동 잡음 제거 알고리즘

Minimizing Algorithm of Baseline Wander for ECG Signal using Morphology-pair

  • 김성완 (수원과학대학 컴퓨터정보과) ;
  • 김세윤 (경북대학교 전자전기컴퓨터학부) ;
  • 김태훈 (경북대학교 전자전기컴퓨터학부) ;
  • 최병재 (대구대학교 전자공학부) ;
  • 박길흠 (경북대학교 전자전기컴퓨터학부)
  • 투고 : 2010.03.24
  • 심사 : 2010.07.25
  • 발행 : 2010.08.25
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초록

심전도 신호 잡음 중 기저선 변동 잡음은 신뢰성 있는 심장 질환 진단을 위해 반드시 제거되어야 하는 것으로서, 이를 위해 본 논문에서는 P, T파 및 QRS-complex를 동시에 배제하여 기저선 변동 잡음만을 추정할 수 있는 Morphology-pair를 제안한다. 즉, P, R, T파와 같은 국부 최대값(local maxima) 특성을 가지는 신호 영역과 Q, S파와 같은 국부 최소값(local minima) 특성을 가지는 신호 영역을 배제할 수 있는 각각의 Morphology 연산을 하나의 Morphology-pair로 정의하고, 이를 이용하여 추정된 기저선 변동 잡음 신호와 원 신호와의 차를 통해 기저선 변동 잡음 제거 신호를 도출한다. 제안한 알고리즘의 유효성을 확인하기 위해 실제 심전도 임상 데이터인 MIT/BIH 데이터베이스를 이용한 실험 결과를 살펴봄으로써 기저선 변동 잡음이 효과적으로 제거됨을 입증한다.

The baseline wander is most fatal noise, because it obstructs reliable diagnosis of cardiac disorder. Thus, in this paper, the morphology-pair is proposed for estimation of baseline wander except P, T-wave and QRS-complex. Proposed Morphology-pair is able to except P, R, T-wave which have characteristics of local maxima. Likewise Q, S-wave such as local minima are excepted by proposed Morphology-pair. The final baseline wander eliminated ECG signal is deducted by subtraction of original ECG and estimated baseline wander. The experimental results based on the MIT/BIH database show that the proposed algorithms produce promising results.

키워드

참고문헌

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  2. R-Peak Detection Algorithm in ECG Signal Based on Multi-Scaled Primitive Signal vol.19, pp.5, 2016, https://doi.org/10.9717/kmms.2016.19.5.818
  3. Adaptive Detection of Unusual Heartbeat According to R-wave Distortion on ECG Signal vol.51, pp.9, 2014, https://doi.org/10.5573/ieie.2014.51.9.200