Classification of Motor Imagery Tasks by means of Time-Frequency-Spatial Analysis for Brain-Computer Interface A - Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on

Abstract

We have developed new algorithms for classification of motor imagery tasks for Brain-Computer Interface applications by analyzing single trial scalp EEG signals in the time-, frequency-, and spacedomains. These new algorithms have been evaluated using a publically available dataset. The results are promising, suggesting that the newly developed algorithms… (More)

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