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An R-wave Detection method in ECG Signal Using Refractory Period

ECG 신호에서 불응기를 이용한 R-파 검출 방법

  • Kim, Jin-Sub (School of Computer and Information, Kyungpook National University) ;
  • Kim, Jea-Soo (School of Computer and Information, Kyungpook National University) ;
  • Kim, Jeong-Hong (School of Computer and Information, Kyungpook National University)
  • 김진섭 (경북대학교 컴퓨터정보학부) ;
  • 김재수 (경북대학교 컴퓨터정보학부) ;
  • 김정홍 (경북대학교 컴퓨터정보학부)
  • Received : 2012.07.17
  • Accepted : 2012.12.12
  • Published : 2013.01.31

Abstract

The accurate detection of R-wave is important for other feature extraction in ECG, and R-wave has a lot of medical information about heart. Numerous R-wave detection algorithms have been studied on the ECG signal shape analysis, but it was difficult to find accurate R-wave when the shape of R-wave is similar to the shape of P-wave. This paper presents an R-wave detection method based on the refractory period that is the period of depolarization and repolarization of the cell membrane after excitation. And we also use the shape of kurtosis in the refractory period. The proposed method is validated using the ECG records of the MIT-BIH arrhythmia database. Experimental results show that the proposed method significantly outperforms other method in case of 105 and 108 record that have R-wave similar to P-wave, as well as other records.

심전도 신호에서 R-파는 다른 특징 점을 구하는데 중요한 역할을 할 뿐만 아니라 심장에 대한 많은 의학적인 정보를 가지고 있다. 지금까지의 연구는 심전도 신호 형태에 대한 분석을 통하여 R-파를 검출하였으나, R-파와 비슷한 형태의 P-파가 나타날 경우 정확한 R-파 검출이 어려웠다. 본 논문에서는 세포막이 흥분 후에 탈분극과 재 분극 기간인 불응기와 불응기내 파형의 첨도 형태를 이용하여 R-파를 검출하는 방식을 제시하였다. MIT-BIH 부정맥 데이터베이스에 있는 심전도 신호 대한 실험을 통하여 R-파와 유사한 형태의 P-파를 가진 105번과 108번 레코드뿐만 아니라 다른 레코드에서도 기존의 방식보다 비교적 우수한 검출율을 확인하였다.

Keywords

References

  1. B. Schijvennaars et al., "Intraindividual variability in electrocardiograms," Journal of Electrocardio logy, Vol. 41, Iss. 3, pp. 190-196, May-June 2008. https://doi.org/10.1016/j.jelectrocard.2008.01.012
  2. H. Kim et al., "ECG signal compression and classification algorithm with quad level vector for ECG holter system," IEEE Trans. Information Technology in Biomedicine, Vol. 14, no. 1, pp. 93-100, Jan. 2010. https://doi.org/10.1109/TITB.2009.2031638
  3. Chae-Young Lim, Kyung-Ho Kim, "A Study on the assessment of stress using Wireless ECG", Journal of Korea Society of Computer Information, Vol.6, No.2, pp.17-23, Feb. 2011. https://doi.org/10.9708/jksci.2011.16.2.017
  4. S.Kadambe, R. Murray, and G. F. B. Bartels "Wavelet Transform based QRS complex detector", IEEE Trans Biomed Eng. 46(7):838-848, 1999. https://doi.org/10.1109/10.771194
  5. Ik-Sung Cho, Hyeong_Soong Kwon, "R Wave Detection Algorithm Based Adaptive Variable Threshold and Window for PVC Classification", Journal of KICS, Vol.34, No.11, pp.1289-1295, Nov. 2009.
  6. 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
  7. Q. Zhang et al., "An algorithm for robust and efficient location of T-wave ends inelectrocardiograms," IEEE Trans. Biomedical Engineering, Vol. 53, no. 12, pp. 2544-2552, Dec. 2006. https://doi.org/10.1109/TBME.2006.884644
  8. J. Pan and W. Tompkins, "A real-time QRS detection algorithm," IEEE Trans. on Biomedical Engineering, vol. 32, no. 3, pp. 230-236, Mar. 1985. https://doi.org/10.1109/TBME.1985.325532
  9. J. Abenstein and W. Tompkins, "A new data-reduction algorithm for real-time ECG analysis," IEEE Trans. Biomedical Engineering, Vol. BME-29, no. 1, pp. 43-48, Jan. 1982. https://doi.org/10.1109/TBME.1982.324962
  10. Sung-Oan, "Arrhythmia Detection and Type Classification of ECG Signals by Rule-Base Rhythm Classification", An Engineering Dotorial Thesis of Kyungpook university, Dec. 2012
  11. M.Sabarimalai Manikandan, K.P. Soman, "A novel method for detecting R-peaks in electrocardiogram (ECG) signal", Biomedical Signal Processing and Control, Vol. 7, Issue 2, pp, 118-128, Mar. 2012. https://doi.org/10.1016/j.bspc.2011.03.004
  12. B. Pfeifer, M. Seger, F. Hanser, C. Hintermuller, G. Fischer, H. Muhlthaler, B. Tilg, "A training whole-heart model for simulating propagation and ECG patterns", Biomedical Signal Processing and Control, Vol. 2, Issue 4, pp. 323-330, Oct. 2007. https://doi.org/10.1016/j.bspc.2007.06.002
  13. Taehun Kim, Seyun Kim, Jeonghong Kim, Byoung-Ju Yun, and Kilhoum Park,"Curvature Based ECG Signal Compression for Effective Communication on WPAN," JCN Vol. 14 No. 2, pp 21-26, Feb. 2012 https://doi.org/10.1109/JCN.2012.6184547

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