Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications
2013
Session Number:C2L-B
Session:
Number:396
A methodology for detecting and exploring non-convulsive seizures in patients with acute brain injury
DJ Albers, J Claassen, M Schmidt, G Hripcsak,
pp.396-399
Publication Date:
Online ISSN:2188-5079
[1] J Claassen, A Perotte, DJ Albers, S Kleinberg, JM Schmidt, B Tu, H Lantigua, LJ Hirsch, SA Mayer, ES Connolly, and George Hripscak. Electrographic seizures after subarchnoid hemorrage and derangements of brain homeostasis in humans. Annals of Neurology, in press 2013.
[2] P. Dayan and L. F. Abbott. Theoretical Neuroscience. MIT Press, 2005.
[3] LH Koopmans. The spectral analysis of time series. Academic press, 1974.
[4] P Lejeune-Dirichlet. On the convergence of trigonometric series which serve to represent an arbitrary function between two given limits. Journal fur die reine und angewandte Mathematik, 4:157-169, 1829.
[5] Q McNemar. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2):153-157, 1947.
[6] P. P. Mitra and H. Bokil. Observed brain dynamics. Oxford University Press, 2008.
[7] H von Storch and F Zwiers. Statistical analysis in climate research. Cambridge Univesity Press, 1999.
[8] A. S. Weigend and N. A. Gershenfeld, editors. Time series prediction: Forecasthing the future and understanding the past. Addison Westley, 1994.
[9] Richard L. Wheeden and Antoni Zygmund. Measure and integral, volume 43 of Monographs and textbooks in pure and applied mathematics. Marcel Dekker, Inc., 1977.