Automatic selection of frequency and time intervals for classification of EEG signals

Electronics Letters

Volumn 43, Issue 25, 2007, Pages 1406-1408

  Dalponte, M ^a,b   Bovolo, F ^a   Bruzzone, L ^a  

^a UNIVERSITY OF TRENTO   (Italy)

^b CENTRO DI ECOLOGIA ALPINA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MODELS; COMPUTER SIMULATION; NATURAL FREQUENCIES;

AUTOMATIC SELECTION OF FREQUENCY; BRAIN COMPUTER INTERFACE (BCI); MULTIDIMENSIONAL SIGNALS; TIME INTERVALS;

ELECTROENCEPHALOGRAPHY;

EID: 36949036886     PISSN: 00135194     EISSN: None     Source Type: Journal    
DOI: 10.1049/el:20072428     Document Type: Article

References (5)

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2. Vapnik, V.N.: ' The nature of statistical learning theory ', (Springer-Verlag, Berlin, Germany, 1999)
3. Wang, Y., Berg, P., and Scherg, M.: ' Common spatial subspace decomposition applied to analysis of brain responses under multiple task conditions: a simulation study ', Clin. Neurophysiol., 1999, 110, (4), p. pp. 604-614 1388-2457
4. Bruzzone, L., Roli, F., and Serpico, S.B.: ' An extension of the Jeffreys-Matusita distance to multiclass cases for feature selection ', IEEE Trans. Geosci. Remote Sens., 1995, 33, (6), p. 1318-1321 0196-2892
5. http://ida.first.fraunhofer.de/projects/bci/competition