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  • Title: BCI Competition 2003--Data set IV: an algorithm based on CSSD and FDA for classifying single-trial EEG.
    Author: Wang Y, Zhang Z, Li Y, Gao X, Gao S, Yang F.
    Journal: IEEE Trans Biomed Eng; 2004 Jun; 51(6):1081-6. PubMed ID: 15188883.
    Abstract:
    This paper presents an algorithm for classifying single-trial electroencephalogram (EEG) during the preparation of self-paced tapping. It combines common spatial subspace decomposition with Fisher discriminant analysis to extract features from multichannel EEG. Three features are obtained based on Bereitschaftspotential and event-related desynchronization. Finally, a perceptron neural network is trained as the classifier. This algorithm was applied to the data set (self-paced 1s) of "BCI Competition 2003" with a classification accuracy of 84% on the test set.
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