International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Electrocardiogram Signal Compression with Reconstruction via Radial Basis Function Interpolation Based on the Vertex

  • Ryu, Chunha (School of Engineering and Computer Science, Kyungpook National University) ;
  • Kim, Tae-Hun (School of Engineering and Computer Science, Kyungpook National University) ;
  • Kim, Jungjoon (School of Engineering and Computer Science, Kyungpook National University) ;
  • Choi, Byung-Jae (School of Electronic and Electrical Engineering, Daegu University) ;
  • Park, Kil-Houm (School of Engineering and Computer Science, Kyungpook National University)
  • Received : 2013.02.07
  • Accepted : 2013.03.15
  • Published : 2013.03.25
Download PDF
⟨ Previous Next ⟩

Abstract

Patients with heart disease need long-term monitoring of the electrocardiogram (ECG) signal using a portable electrocardiograph. This trend requires the miniaturization of data storage and faster transmission to medical doctors for diagnosis. The ECG signal needs to be utilized for efficient storage, processing and transmission, and its data must contain the important components for diagnosis, such as the P wave, QRS-complex, and T wave. In this study, we select the vertex which has a larger curvature value than the threshold value for compression. Then, we reconstruct the compressed signal using by radial basis function interpolation. This technique guarantees a lower percentage of root mean square difference with respect to the extracted sample points and preserves all the important features of the ECG signal. Its effectiveness has been demonstrated in the experiment using the Massachusetts Institute of Technology and Boston's Beth Israel Hospital arrhythmia database.

Keywords

References

  1. F. Enseleit and F. Duru, "Long-term continuous external electrocardiographic recording: a review," Europace, vol. 8, no. 4, pp. 255-266, Apr. 2006. http://dx.doi.org/10.1093/europace/euj054
  2. B. J. A. Schijvennars, G. Van Herpen, and J. A. Kors, "Intraindividual variability in electrocardiograms," Journal of Electrocardiology, vol. 41, no. 3, pp. 190-196, May. 2008. http://dx.doi.org/10.1016/j.jelectrocard.2008.01.012
  3. W. S. Yang, K. S. Hwang, K. M. Lee, K. M. Lee, W. J. Kim, and S. J. Yun, "Requirement analysis and architecture design for ubiquitous healthcare service systems," International Journal of Fuzzy Logic and Intelligent Systems, vol. 7, no. 3, pp. 209-215, Sep. 2007. http://dx.doi.org/10.5391/IJFIS.2007.7.3.209
  4. J. R. Cox, F. M. Nolle, H. A. Fozzaard, and G. C. Oliver, "AZTEC, a preprocessing program for real-time ECG rhythm analysis," IEEE Transactions on Biomedical Engineering, vol. BME-15, no. 2, pp. 128-129, Apr. 1968. http://dx.doi.org/10.1109/TBME.1968.4502549
  5. S. M. S. Jalaleddine, C. G. Hutchens, R. D. Strattan, and W. A. Coberly, "ECG data compression techniquesa united approach," IEEE Transactions on Biomedical Engineering, vol. 37, no. 4, pp. 329-343, Apr. 1990. http://dx.doi.org/10.1109/10.52340
  6. J. P. Abenstein and W. J. Tomkins, "A new data-reduction algorithm for real-time ECG analysis," IEEE Transactions on Biomedical Engineering, vol. BME-29, no. 1, pp. 43-48, Jan. 1982. http://dx.doi.org/10.1109/TBME.1982.324962
  7. B. D. Bradie, "Wavelet packet-based compression of single lead ECG," IEEE Transactions on Biomedical Engineering, vol. 43, no. 5, pp. 493-501, May. 1996. http://dx.doi.org/10.1109/10.488797
  8. B. R. S. Reddy and I. S. N. Murthy, "ECG data compression using Fourier descriptors," IEEE Transactions on Biomedical Engineering, vol. BME-33, no. 4, pp. 428-434, Apr. 1986. http://dx.doi.org/10.1109/TBME.1986.325799
  9. S. Olmos, M. Millan, J. I. Garcia, and P. Laguna, "ECG data compression with the Karhunen-Loeve transform," in Proceedings of Conference on Computers in Cardiology, Indianapolis, IN, 1996, pp. 253-256. http://dx.doi.org/10.1109/CIC.1996.542521
  10. R. L. Hardy, "Theory and applications of the multiquadric-biharmonic method 20 years of discovery 1968-1988," Computers & Mathematics with Applications, vol. 19, no. 8-9, pp. 163-208, 1990. http://dx.doi.org/10.1016/0898-1221(90)90272-L
  11. N. Dyn, "Interpolation and approximation by radial and related fuctions," in Approximation Theory VI, C. K. Chui, L. L. Schumaker, and J. D. Ward, Eds. Boston: Academic Press, 1989, pp. 211-234.
  12. B. G. Lee, Y. J. Lee, and J. Yoon, "Stationary binary subdivision schemes using radial basis function interpolation," Advances in Computational Mathematics, vol. 25, no. 1-3, pp. 57-72, Jul. 2006. http://dx.doi.org/10.1007/s10444-004-7642-z
  13. T. H. Kim, S. W. Kim, C. H. Ryu, B. J. Yun, J. H. Kim, B. J. Choi, and K. H. Park, "ECG signal compression using feature points based on curvature," Journal of Korea Intelligent Information Society, vol. 20, no. 5, pp. 624-630, Oct. 2010. http://dx.doi.org/10.5391/JKIIS.2010.20.5.624
  14. A. Alesanco and J. Garcia, "Automatic real time ECG coding methodology guaranteeing signal interpretation quality," IEEE Transactions on Biomedical Engineering, vol. 55, no. 11, pp. 2519-2527, Nov. 2008. http://dx.doi.org/10.1109/TBME.2008.2001263
  15. B. U. Kohler, C. Hennig, and R. Orglmeister. "The principles of software QRS detection," IEEE Engineering in Medicine and Biology Magazine, vol. 21, no. 1, pp. 42-57, Jan-Feb. 2002. http://dx.doi.org/10.1109/51.993193
  16. G. Moody, MlT-BIH Arrhythmia Database CD-ROM: overview, 2nd ed., Cambridge, MA: Massachusetts Institute of Technology, 1992.
  17. Y. Zigel, A. Cohen, and A. Katz. "The weighted diagnostic distortion (WDD) measure for the ECG signal compression", IEEE Transactions on Biomedical Engineering, vol 47, no. 11, pp. 1422-1430, Nov. 2000. http://dx.doi.org/10.1109/TBME.2000.880093
  18. S. I. Lee and S. Y. Lee. "Integration of user profiles and real-time context information reflecting time-based changes for the recommendation system," International Journal of Fuzzy Logic and Intelligent Systems, vol. 8, no. 4, pp. 276-283, Dec. 2008. http://dx.doi.org/10.5391/IJFIS.2008.8.4.276