Feature Extraction and Classification of EEG Signals. The Use of a Genetic Algorithm for an Application on Alertness Prediction - Guide to Brain-Computer Music Interfacing - page 213

V é zard L (2010) R é duction de dimension en apprentissage supervis é . applications à l 'é tude de
l ' l'activité é c é r é brale. Master ' s thesis, INSA de Toulouse. Available at the following URL http://
www.math.u-bordeaux1.fr/archives/stages/laurentvezard2011.pdf
V é zard L, Legrand P, Chavent M, Fa ï ta A ï nseba F, Clauzel J, Trujillo L (2014) Classi cation of
EEG signals by evolutionary algorithm. Adv Knowl Discov Manage 4:133 - 153
Vuckovic A, Radivojevic V, Chen A, Popovic D (2002) Automatic recognition of alertness and
drowsiness from EEG by an artificial neural network. Med Eng Phys 24:349 - 360
Walter WG, Cooper R, Aldridge V, McCallum WC, Winter A (1964) Contingent negative
variation: an electric sign of sensorimotor association and expectancy in the human brain.
Nature 203:380 384

Yeo M, Li X, Shen K, Wilder-Smith E (2009) Can SVM be used for automatic EEG detection of
drowsiness? Saf Sci 47:115

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