Discriminating mental tasks using EEG represented by AR models
- 19 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 875-876
- https://doi.org/10.1109/iembs.1995.579248
Abstract
EEG signals are modeled using single-channeland multi-channel autoregressive (AR) techniques. The coefficientsof these models are used to classify EEG data intoone of two classes corresponding to the mental task the subjectsare performing. A neural network is trained to performthe classification. When applying a trained network totest data, we find that the multivariate AR representationperforms slightly better, resulting in an average classificationaccuracy of about 91%.I....Keywords
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