SEGMENTATION OF SLEEP EEG SIGNAL BY OPTIMAL THRESHOLDS

Daria Migotina, Agostinho Rosa

References

  1. [1] A. Gevins and A. Rémond, Handbook ofElectroencephalography and Slinical Neurophysiology,Vol. I: Methods of Analysis of Brain Electrical andMagnetic Signals. Elseiver, Amsterdam, 1987.
  2. [2] G. Pfurtscheller, F.H. Lopes da Silva, Event-relatedEEG/MEG synchronization and desynchronization: basicprinciples. Clin. Neurophysiol., vol. 110, no. 11, pp.1842-57, 1999.
  3. [3] M.G. Terzano, L. Parrino, A. Smerieri et al., Altas,rules, and recording techniques for the scoring of cyclicalternating pattern (CAP) in human sleep. Sleep Medicine,vol. 2, 537–553, 2001.
  4. [4] M.G. Terzano, L. Parrino, G.F. Mennuni, PhasicEvents And Microstructure Of Sleep. Martano EditoreLecce, 1997.
  5. [5] E-Medicine URL: http://www.emedicine.com.
  6. [6] G. Bodenstein and H.M. Praetorius, Feature Extractionfrom the Electroencephalogram by AdaptiveSegmentation. Proc. of the IEEE, vol. 65, no. 5, May1977.
  7. [7] R. Agarwal and J. Gotman, Adaptive Segmentation ofElectroencephalographic Data Using a Nonlinear EnergyOperator. Proc. IEEE International Symposium onCircuits and Systems (ISCAS'99), vol. 4, 199-202, 1999.
  8. [8] H. Hassanpour and M. Shahiri, AdaptiveSegmentation Using Wavelet Transform. IEEEInternational Conference on Electrical Engineering(ICEE), Lahore, Pakistan , 2007.
  9. [9] Hassanpour, H., Anisheh, S.M., AdaptiveSegmentation using Fractal Dimension and WaveletTransform. IEEE Int. Workshop on Signal Processing andits App., Sharjah, U.A.E., (2008).
  10. [10] A. Kaplan, J. Roschke, B. Darkhovsky, J. Fell,Macrostructural EEG characterization based onnonparametric change point segmentation: application tosleep analysis. J Neurosci Methods, vol. 106, no. 1, 81–90, 2001.
  11. [11] B.E. Brodsky, B.S. Darkhovsky, A.Ya. Kaplan, S.L.Shishkin, Nonparametric method for the segmentation ofthe EEG. Computer Methods and Programs in Biomed.,vol. 60, no. 2, 93-106, 1999.
  12. [12] Z. Jane Wang, P. Wen-Hsin Lee, M.J. McKeown,A novel segmentation, mutual information network framework for EEG analysis of motor tasks. Biomed EngOnline, vol. 8, no. 5, 2009.
  13. [13] WWW: http://www.mathwave.com/
  14. [14] M.H. DeGroot, Probability and Statistics, 3rdedition. Addison-Wesley, 1991.
  15. [15] A.M. Law and W.D. Lelton, Simulation Modelingand Analysis (Third Edition). McGraw Hill, 2000.
  16. [16] Herrera L.J., Fernandes C.F., Mora A.M., MigotinaD., Rosa A.C. and Merelo J.J., Symbolic Representationof EEG for Sleeping Stage Classification. Proc. ISDA'11,Cordoba, Spain, pp. 253-258.

Important Links:

Go Back