Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지
DOI QR코드

DOI QR Code

R-wave Detection Algorithm in ECG Signal Using Adaptive Refractory Period

ECG 신호에서 적응적 불응기를 이용한 R-wave 검출 알고리즘

  • Kim, Jung-Joon (School of Electronics Engineering, Kyungpook National University) ;
  • Kim, Jin-Sub (School of Electronics Engineering, Kyungpook National University) ;
  • Park, Kil-Houm (School of Electronics Engineering, Kyungpook National University)
  • Received : 2013.02.27
  • Published : 2013.05.25
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, R-wave detection algorithm using refractory period to reflect the depolarization and repolarization of the myocardial cells of the heart is proposed. The proposed algorithm detects R-peaks using the features of R-wave and variable refractory period. First, the proposed algorithm extracts candidate R-peaks that have a relatively high potential and calculates the refractory period based on the kurtosis and potential for candidate R-peaks. Next, R-peak is determined by morphological features of the R-wave within the refractory period. In addition, due to less computation in the proposed algorithm, real-time processing is possible. The algorithm is applied to all records of the MIT-BIH arrhythmia database and the obtained results show a competitive detection rate of over 99.7%.

본 논문에서는 심장의 심근세포의 탈분극과 재분극을 반영하는 불응기(Refractory Period)를 이용한 R-파 검출 알고리즘을 제안한다. 제안 알고리즘은 R-파의 특징과 가변 불응기를 이용하여 R-정점을 검출한다. 먼저 상대적으로 높은 전위 점을 R-정점 후보로 추출하고, 그 후보 점에 대해 첨도와 전위를 고려한 불응기를 구한다. 다음으로 불응기내에서 R-파의 형태학적 특징을 이용하여 R-정점을 검출한다. 제안 알고리즘은 적은 연산을 가지므로 실시간 처리가 가능하다. 제안한 알고리즘을 MIT-BIH 부정맥 데이터베이스의 모든 레코드에 적용한 결과 99.7% 이상의 매우 우수한 검출율을 보였다.

Keywords

References

  1. B. Schijvennaars, G. Van Herpen and J. Kors, "Intraindividual variability in electrocardiograms," Journal of Electrocardiology, Vol. 41, Iss. 3, pp. 190-196, May-June 2008. https://doi.org/10.1016/j.jelectrocard.2008.01.012
  2. 민철홍, 김태선, "심전도기반 u-Healthcare 시스템 을 위한 파형추출 방법," 전자공학회논문지, 제46 권 제6호, pp. 18-26, 2009.11.
  3. H. Kim, R. Yazicioglu, P. Merken, C. Van Hoof and H. Yoo, "ECG signal compression and classification algorithm with quad level vector for ECG holter system," IEEE Trans. Information Technology in Biomedicine, Vol. 14, Iss. 1, pp. 93-100, Jan. 2010. https://doi.org/10.1109/TITB.2009.2031638
  4. L. Y. Shyu, Y. H. Wu and W. C. Hu, "Using wavelet transform and fuzzy neural network for VPC detection from the holter ECG," IEEE Trans. Biomedical Engineering, Vol. 51, Iss. 7, pp. 1269-1273, 2004. https://doi.org/10.1109/TBME.2004.824131
  5. S. Kadambe, R. Murray, and G. F. Boudreaux-Bartels "Wavelet transform-based QRS complex detector," IEEE Trans. Biomedical Engineering, Vol. 46, Iss. 7, pp. 838-848, 1999. https://doi.org/10.1109/10.771194
  6. 조익성, 권혁승, "PVC 분류를 위한 적응형 문턱치 와 윈도우 기반 R파 검출 알고리즘," 한국통신학 회논문지, 제34권, 11호, pp.1289-1295, 2009.
  7. M. Benmalek and A. Charef, "Digital fractional order operators for R-wave detection in electrocardiogram signal," IET Signal Processing, Vol. 3, Iss. 5, pp. 381-391, May-June 2009. https://doi.org/10.1049/iet-spr.2008.0094
  8. Q. Zhang, A. I. Manriquez, C. Medigue, Y. Papelier and M. Soline., "An algorithm for robust and efficient location of T-wave ends in electrocardiograms," IEEE Trans. Biomedical Engineering, Vol. 53, Iss. 12, pp. 2544-2552, Dec. 2006. https://doi.org/10.1109/TBME.2006.884644
  9. 윤형로, "ECG 신호 계측 및 해석," 전자공학회논 문지, 제13권 제3호, pp. 224-228, 1986.6.
  10. J. Pan and W. Tompkins, "A real-time QRS detection algorithm," IEEE Trans. on Biomedical Engineering, Vol. 32, Iss. 3, pp. 230-236, March 1985.
  11. 김진섭, 김재수, 김정홍, "ECG 신호에서 불응기를 이용한 R파 검출 방법," 한국컴퓨터정보학회논문지, 제18권, 1호, pp.93-101, 2013.
  12. Abenstein and W. Tompkins, "A new data-reduction algorithm for real-time ECG analysis," IEEE Trans. Biomedical Engineering, Vol. BME-29, Iss. 1, pp. 43-48, Jan. 1982. https://doi.org/10.1109/TBME.1982.324962
  13. 김성완, 김세윤, 김태훈, 최병재, 박길흠, "Morphology-pair를 이용한 심전도 신호의 기저선 변동 잡음 제거 알고리즘," 한국 퍼지 및 지능시스템학회 논문지, 제20권, 4호, pp. 574-579, 2010.
  14. G.B. Moody and R.G. Mark, "The MIT-BIH arrhythmia database on CD-ROM and software for use with it," Computers in Cardiology, IEEE Computer Society Press, pp. 185-188, 1990.
  15. A. Taddei, A. Biagini, G. Distante, M. Emdin, M. G. Mazzei, P. Pisani, N. Roggero and M. Varanini, "The European ST-T database: Development, distribution and use," Computers in Cardiology, IEEE Computer Society Press, pp. 177-180, 1991.
  16. P. Laguna, R.G. Mark, A. L. Goldberger and G. B. Moody, "A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG," Computers in Cardiology, Vol. 24, pp. 673-676, 1997.

Cited by

  1. 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
  2. 유비쿼터스 환경 하의 실시간 심전도 신호 모니터링 vol.b38, pp.9, 2013, https://doi.org/10.7840/kics.2013.38b.9.728