Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Unusual Waveform Detection Algorithm in Arrhythmia ECG Signal

부정맥 심전도 신호에서 특이 파형 검출

  • Park, Kil-Houm (School of Electronics Engineering, Kyungpook University) ;
  • Kim, Jin-Sub (School of Electronics Engineering, Kyungpook University) ;
  • Ryu, Chunha (School of Electronics Engineering, Kyungpook University) ;
  • Choi, Byung-Jae (School of Electronic and Electrical Engineering, Daegu University) ;
  • Kim, Jungjoon (School of Electronics Engineering, Kyungpook University)
  • Received : 2013.02.19
  • Accepted : 2013.08.06
  • Published : 2013.08.25
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Abstract

In this paper, unusual waveform detection algorithm based on Refractory Period in arrhythmia ECG signal is proposed. Most of arrhythmia ECG signals consist of unusual waveforms with average 10% rate. Thus tremendous benefit can be obtained in terms of time and cost by providing unusual waveform samples reduced more than 90% to medical staffs who have to monitor and analyze for a long time. The proposed algorithm detects the R-peak using the features of R wave and variable refractory period. For the detected R-peak, unusual waveforms are found using means and standard deviation of electric potential and kurtosis of the R-peaks which are not included in unusual waveform. The proposed algorithm was applied to all records of the MIT-BIH arrhythmia database and showed more than average 90% of compression ratio.

본 논문에서는 불응기(Refractory Period)에 기반한 부정맥 심전도 신호의 특이 파형 검출 알고리즘을 제안한다. 부정맥 심전도 신호는 대부분 평균 10% 정도의 특이 파형을 갖는다. 따라서 장시간 심전도 신호를 관찰 및 분석해야 하는 의료진에게 심전도 신호 샘플의 90%이상이 축소된 특이 파형만을 제공함으로써 시간과 비용 측면에서 매우 큰 효과를 볼 수 있다. 제안 알고리즘은 R-파의 특징과 가변 불응기를 이용하여 R-peak를 검출한다. 검출된 R-peak에 대해 특이 파형에 포함되지 않은 R-peak들의 전위 및 첨도의 평균과 표준편차를 이용하여 특이 파형을 검출한다. 제안한 알고리즘을 MIT-BIH 부정맥 데이터베이스의 모든 레코드에 적용한 결과 평균 90% 이상의 압축률을 보였다.

Keywords

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