The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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PVC Detection Based on the Distortion of QRS Complex on ECG Signal

심전도 신호에서 QRS 군의 왜곡에 기반한 PVC 검출

  • Lee, SeungMin (Kyungpook National University Graduate School of Electronics Engineering) ;
  • Kim, Jin-Sub (Kyungpook National University Graduate School of Electronics Engineering) ;
  • Park, Kil-Houm (Kyungpook National University Department of Information Security)
  • Received : 2014.12.11
  • Accepted : 2015.03.18
  • Published : 2015.04.30
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Abstract

In arrhythmia ECG signal, abnormal beat that has various abnormal shape depending on the generation site and conduction disorders is included and it is very important to diagnose heart disease such as arrhythmia. In this paper, we propose a PVC abnormal beat detection algorithm associated with ventricular disease. The PVC abnormal beat is characterized by distortion of the QRS complex occurs among the components of the ECG signal. Therefore it is possible to detect PVC abnormal beat according to the degree of distortion of the QRS complex. First, quantify the distortion of the QRS complex by using the potential of the R-peak, kurtosis and period. By using the mean and standard deviation, PVC abnormal beat is detected depending on the degree of distortion from the normal beat. The proposed algorithm can detect the average over 98% of the AAMI-V class type abnormal beat associated with ventricular disease in MIT-BIH arrhythmia database.

부정맥 심전도 신호에는 전도장애 및 발생부위에 따라 다양한 비정상 모양을 띄는 특이심박들이 포함되어 있고, 이들 특이심박은 부정맥 등의 심장질환을 진단하는데 있어 매우 중요하다. 본 논문에서는 심실질환에 관련한 PVC 특이심박 검출 알고리즘을 제안한다. PVC 특이심박에서는 심전도 신호의 구성요소 가운데 QRS 군의 왜곡이 발생하는 특징이 있다. 따라서 QRS 군의 왜곡 정도에 따라 PVC 특이심박을 검출할 수 있다. 먼저 R-peak의 전위, 첨도, 주기를 사용하여 QRS 군의 왜곡을 정량화하고, 이들 값들의 평균과 표준편차를 이용하여 정상 심박과의 왜곡의 정도에 따라 PVC 특이심박을 검출한다. 제안한 알고리즘은 MIT-BIH 부정맥 데이터베이스 중 심실질환과 관계되는 AAMI-V class 타입의 특이심박을 평균 98% 이상을 검출할 수 있었다.

Keywords

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