Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Detection of Main Components of Heart Sound Using Third Moment Characteristics of PCG Envelope

심음 포락선의 3차 모멘트를 이용한 심음의 주성분 검출

  • Quan, Xing-Ri (Department of School of Electronics Engineering, Kyunpook National University) ;
  • Bae, Keun-Sung (Department of School of Electronics Engineering, Kyunpook National University)
  • Received : 2013.08.05
  • Accepted : 2013.09.12
  • Published : 2013.12.31
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Abstract

To diagnose the cardiac valve abnormalities using analysis of phonocardiogram, first of all, accurate detection of S1, S2 components is needed for heart sound segmentation. In this paper, a new method that uses the third moment characteristics of an envelope of the PCG is proposed for accurate detection of S1 and S2 components of the heart sound with cardiac murmurs. The envelope of the PCG is obtained from the short-time energy profile, and its third moment profile with slope information is used for accurate time gating of the S1, S2 components. Experimental results have shown that the proposed method is superior to the conventional second moment method for detection of S1 and S2 regions from the heart sound signals with cardiac murmurs.

심음도(PCG, Phonocardiogram) 분석을 이용하여 심장의 판막과 관련된 질환을 진단하기 위해서는 먼저 심음 분할을 위해 심음의 주성분인 S1과 S2를 정확하게 찾아야 한다. 본 논문에서는 심음포락선의 모멘트 특성을 분석하고 이를 심음 분할에 적용하였다. 기존의 2차 모멘트를 이용한 심음 분할의 문제점을 분석하고, 심잡음이 있더라도 심음 주성분의 검출이 용이한 3차 모멘트에 기반한 방법을 제안하였다. 심음포락선은 심음 신호의 단구간 에너지를 이용하였으며, 3차 모멘트 궤적의 기울기 정보를 이용하여 심음 주성분을 검출하고 지속시간을 게이팅(gating) 하였다. 다양한 심잡음이 포함된 심음 신호에 대한 실험을 통해 제안한 방법이 기존의 2차 모멘트 기법보다 심잡음의 영향을 적게 받고 심음 주성분의 구간을 정확하게 검출 할 수 있음을 보였다.

Keywords

References

  1. E. H. Choi, H. S. Hwang, and C. S. Kim, "Electron spectroscopy studies on magneto-optical media and plastic substrate interfaces," International Journal of Information and Communication Engineering, vol. 9, no. 4, pp. 358-362, Aug. 2011.
  2. A. Haghighi-Mood and J. N. Torry, "A sub-band energy tracking algorithm for heart sound segmentation," Computers in Cardiology, pp. 501-504, 1995.
  3. S. Choi and Z. Jiang, "Comparison of envelope extraction algorithms for cardiac sound signal segmentation,"Expert Systems with Applications, vol. 34, pp. 1056-1069, 2008. https://doi.org/10.1016/j.eswa.2006.12.015
  4. Z. Yan, et al., "The moment segmentation analysis of heart sound pattern," Computer Methods and Programs in Biomedicine, vol. 98, pp. 140-150, 2010. https://doi.org/10.1016/j.cmpb.2009.09.008
  5. S.M.Debbal, F.Bereksi-Reguig, "Time-frequency analysis of the first and secod heartbeat sounds," Applied Mathematics and Communication, pp. 1041-1052, 2007.
  6. Burhan Ergen, Yetkin Tatar, Halil Ozcan Gulcur, "Timefrequency analysis of phonocardiogram signals using wavelet transform: a comparitive study," Computer Method in Biomechanics and biomedical Engineering, Vol. 15, No. 4, pp. 371-381, 2012.
  7. V. Nigam and R. Priemer, "Accessing heart dynamics to estimate durations of heart sounds," Physiological Measurement, vol. 26, 2005
  8. Cardiac Auscultation of Heart Murmurs. Available: http://www.egeneralmedical.com/listohearmur.html