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

A novel technique is presented for the automatic selection of time and frequency intervals to be used in feature extraction on multidimensional signals acquired by an electroencephalogram. This technique is completely automatic, adaptive (task independent), and does not require any specific prior do...

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Veröffentlicht in:	Electronics letters 2007-12, Vol.43 (25), p.1-1
Hauptverfasser:	Dalponte, M, Bovolo, F, Bruzzone, L
Format:	Artikel
Sprache:	eng
Schlagworte:	Automation Classification Electroencephalography Feature extraction Human-computer interface Intervals Tasks
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