J. Bruhn, P. Myles, R. Sneyd, and M. Struys, Depth of anaesthesia monitoring: what's available, what's validated and what's next?, British Journal of Anaesthesia, vol.97, issue.1, pp.85-94, 2006.
DOI : 10.1093/bja/ael120

I. Rampil, A Primer for EEG Signal Processing in Anesthesia, Anesthesiology, vol.89, issue.4, pp.980-1002, 1998.
DOI : 10.1097/00000542-199810000-00023

A. Dahaba, Different Conditions That Could Result in the Bispectral Index Indicating an Incorrect Hypnotic State, Anesthesia & Analgesia, vol.101, issue.3, pp.765-773, 2005.
DOI : 10.1213/01.ane.0000167269.62966.af

I. Russell, The Narcotrend 'depth of anaesthesia' monitor cannot reliably detect consciousness during general anaesthesia: an investigation using the isolated forearm technique, British Journal of Anaesthesia, vol.96, issue.3, pp.346-352, 2006.
DOI : 10.1093/bja/ael017

L. Voss and J. Sleigh, Monitoring consciousness: the current status of EEG-based depth of anaesthesia monitors, Best Practice & Research Clinical Anaesthesiology, vol.21, issue.3, pp.313-325, 2007.
DOI : 10.1016/j.bpa.2007.04.003

C. Anderson, E. Stolz, and S. Shamsunder, Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks, IEEE Transactions on Biomedical Engineering, vol.45, issue.3, pp.277-286, 1998.
DOI : 10.1109/10.661153

D. Mcfarland and J. Wolpaw, Sensorimotor rhythm-based brain???computer interface (BCI): model order selection for autoregressive spectral analysis, Journal of Neural Engineering, vol.5, issue.2, pp.155-162, 2008.
DOI : 10.1088/1741-2560/5/2/006

P. Franaszczuk and G. Bergey, An autoregressive method for the measurement of synchronization of interictal and ictal EEG signals, Biological Cybernetics, vol.81, issue.1, pp.3-9, 1999.
DOI : 10.1007/s004220050540

G. Schwarz, Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.
DOI : 10.1214/aos/1176344136

H. Akaike, A new look at the statistical model identification, IEEE Transactions on Automatic Control, vol.19, issue.6, pp.716-723, 1974.
DOI : 10.1109/TAC.1974.1100705

N. Nicolaou, S. Houris, P. Alexandrou, and J. Georgiou, EEG-Based Automatic Classification of ???Awake??? versus ???Anesthetized??? State in General Anesthesia Using Granger Causality, PLoS ONE, vol.201, issue.3, p.33869, 2012.
DOI : 10.1371/journal.pone.0033869.t005

W. Penny and L. Harrison, Multivariate autoregressive models Statistical Parametric Mapping: The analysis of functional brain images, 2006.

P. Zhang, On the convergence rate of model selection criteria, Communications in Statistics - Theory and Methods, vol.41, issue.10, pp.2765-2775, 1993.
DOI : 10.2307/2290211