THE NOTION OF CARDIAC PHASE AND ITS APPLICATIONS IN ELECTROPHYSIOLOGICAL STUDIES

Bahman Vahabzadeh

References

  1. [1] J. Hall, J. Hall, and A. Guyton, Guyton & Hallphysiology review, ser. Guyton Physiology Series.Elsevier Saunders, 2006. [Online]. Available: http://books.google.com/books?id=NzGeQgAACAAJ
  2. [2] G. D. Clifford, “Signal Processing Methods for HeartRate Variability,” Ph.D. dissertation, University ofOxford, 2002.
  3. [3] M. Malik, “Heart rate variability,” Annals ofNoninvasive Electrocardiology, vol. 1, no. 2, pp.151–181, 1996. [Online]. Available: http://dx.doi.org/10.1111/j.1542-474X.1996.tb00275.x
  4. [4] M. C. Teich, S. B. Lowen, B. M. Jost, K. Vibe-Rheymer, and C. Heneghan, “Heart Rate Variability:Measures and Models,” ArXiv Physics e-prints, Aug.2000.
  5. [5] G. Moody, “Spectral analysis of heart rate withoutresampling,” in Computers in Cardiology 1993, Pro-ceedings., sep 1993, pp. 715 –718.
  6. [6] R. Sameni, C. Jutten, and M. Shamsollahi, “Multi-channel electrocardiogram decomposition using peri-odic component analysis,” Biomedical Engineering,IEEE Transactions on, vol. 55, no. 8, pp. 1935 –1940,aug. 2008.
  7. [7] R. Sameni, C. Jutten, and M. B. Shamsollahi, “Multi-channel Electrocardiogram Decomposition Using Pe-riodic Component Analysis,” IEEE Trans. Biomed.Eng., vol. 55, no. 8, pp. 1935–1940, August 2008.
  8. [8] L. Rabiner and B. Juang, Fundamentals ofspeech recognition, ser. Prentice Hall signal pro-cessing series. PTR Prentice Hall, 1993. [On-line]. Available: http://books.google.com/books?id=XEVqQgAACAAJ
  9. [9] O. Ramsay and S. W.B, Applied Functional DataAnalysis: Methods and Case Studies, ser. Springer se-ries in statistics. Springer-Verlag, 2002.
  10. [10] H. Sakoe and S. Chiba, “Dynamic programmingalgorithm optimization for spoken word recogni-tion,” Acoustics, Speech and Signal Processing, IEEETransactions on, vol. 26, no. 1, pp. 43 – 49, feb 1978.
  11. [11] V. Tuzcu and S. Nas, “Dynamic time warping as anovel tool in pattern recognition of ecg changes inheart rhythm disturbances,” in Systems, Man and Cy-bernetics, 2005 IEEE International Conference on,vol. 1, oct. 2005, pp. 182 – 186 Vol. 1.
  12. [12] D. Gervini and T. Gasser, “Self-modelling warpingfunctions,” Journal of the Royal Statistical Society:Series B (Statistical Methodology), vol. 66, no. 4,pp. 959–971, 2004. [Online]. Available: http://dx.doi.org/10.1111/j.1467-9868.2004.B5582.x
  13. [13] R. Sameni, Open-Source ECG Toolbox (OSET), 2008,2nd version. [Online]. Available: http://ecg.sharif.ir/
  14. [14] J. Leski, “Robust weighted averaging [of biomedicalsignals],” IEEE Trans. Biomed. Eng., vol. 49, no. 8,pp. 796–804, 2002.

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