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Computational and Mathematical Methods in Medicine
Volume 2013 (2013), Article ID 396034, 10 pages
http://dx.doi.org/10.1155/2013/396034
Research Article

Continuous- and Discrete-Time Stimulus Sequences for High Stimulus Rate Paradigm in Evoked Potential Studies

School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China

Received 20 January 2013; Accepted 3 March 2013

Academic Editor: Sung-Phil Kim

Copyright © 2013 Tao Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. E. Delgado and Ö. Özdamar, “Deconvolution of evoked responses obtained at high stimulus rates,” Journal of the Acoustical Society of America, vol. 115, no. 3, pp. 1242–1251, 2004. View at Google Scholar
  2. Ö. Özdamar, J. Bohórquez, and S. S. Ray, “Pb(P1) resonance at 40 Hz: effects of high stimulus rate on auditory middle latency responses (MLRs) explored using deconvolution,” Clinical Neurophysiology, vol. 118, no. 6, pp. 1261–1273, 2007. View at Google Scholar
  3. R. R. McNeer, J. Bohórquez, and Ö. Özdamar, “Influence of auditory stimulation rates on evoked potentials during general anesthesia: relation between the transient auditory middle-latency response and the 40-Hz auditory steady state response,” Anesthesiology, vol. 110, no. 5, pp. 1026–1035, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. J. Bohórquez and Ö. Özdamar, “Generation of the 40-Hz auditory steady-state response (ASSR) explained using convolution,” Clinical Neurophysiology, vol. 119, no. 11, pp. 2598–2607, 2008. View at Google Scholar
  5. D. L. Jewett, G. Caplovitz, B. Baird, M. Trumpis, M. P. Olson, and L. J. Larson-Prior, “The use of QSD (q-sequence deconvolution) to recover superposed, transient evoked-responses,” Clinical Neurophysiology, vol. 115, no. 12, pp. 2754–2775, 2004. View at Publisher · View at Google Scholar · View at Scopus
  6. Y. Su, Z. Li, and T. Wang, “Deconvolution methods and applications of auditory evoked response using high rate stimulation,” in New Developments in Biomedical Engineering, D. Campolo, Ed., pp. 105–122, InTech, Vukovar, Croatia, 2010. View at Google Scholar
  7. D. L. Jewett, T. Hart, L. J. Larson-Prior et al., “Human sensory-evoked responses differ coincident with either “fusion-memory” or “flash- memory”, as shown by stimulus repetition-rate effects,” BMC Neuroscience, vol. 7, article 18, 2006. View at Publisher · View at Google Scholar · View at Scopus
  8. T. Wang, Ö. Özdamar, J. Bohórquez, Q. Shen, and C. Marie, “Wiener filter deconvolution of overlapping evoked potentials,” Journal of Neuroscience Methods, vol. 158, no. 2, pp. 260–270, 2006. View at Google Scholar
  9. M. J. Lighthill, Introduction to Fourier Analysis and Generalised Functions, Cambridge University Press, Cambridge, UK, 1970.
  10. Ö. Özdamar and J. Bohórquez, “Signal-to-noise ratio and frequency analysis of continuous loop averaging deconvolution (CLAD) of overlapping evoked potentials,” Journal of the Acoustical Society of America, vol. 119, no. 1, pp. 429–438, 2006. View at Google Scholar
  11. J. D. Pintér, “Global optimization: software, test problems, and applications,” in Handbook of Global Optimization, P. M. Pardalos and H. E. Romeijn, Eds., vol. 2, pp. 515–569, Publishing House of Kluwer Academic Publishers, Boston, Mass, USA, 2002. View at Google Scholar
  12. R. Storn and K. Price, “Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces,” Journal of Global Optimization, vol. 11, no. 4, pp. 341–359, 1997. View at Google Scholar · View at Scopus
  13. W. S. Pritchard, “The brain in fractal time: 1/f-like power spectrum scaling of the human electroencephalogram,” International Journal of Neuroscience, vol. 66, no. 1-2, pp. 119–129, 1992. View at Google Scholar · View at Scopus