Feature Extraction for Multi-class BCI using Canonical Variates Analysis

To propose a new feature extraction method with canonical solution for multi-class brain-computer interfaces (BCI). The proposed method should provide a reduced number of canonical discriminant spatial patterns (CDSP) and rank the channels sorted by power discriminability (DP) between classes. The f...

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Bibliographische Detailangaben

Hauptverfasser:	Galan, Ferran, Ferrez, Pierre. W., Oliva, Francesc, Guardia, Joan, del R. Millan, Jose
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Brain computer interfaces Canonical Variates Analysis Data analysis Data mining Electrodes Electroencephalogram Electroencephalography Feature extraction Frequency domain analysis Linear discriminant analysis Relays Testing
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