A New Feature Dimensionally Reduction Approach Based on General Tensor Discriminant Analysis in EEG Signal Classification

@article{Nasehi2011ANF,
  title={A New Feature Dimensionally Reduction Approach Based on General Tensor Discriminant Analysis in EEG Signal Classification},
  author={Saadat Nasehi and Hossein Pourghassem},
  journal={2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation},
  year={2011},
  pages={188-191}
}
feature selection from electroencephalogram (EEG) signals is important steps in BCI and medicine application. In this paper, a feature dimensionally reduction approach based on general tensor discriminant analysis (GTDA) is proposed. In this approach, EEG signal epochs are decomposed as spectral, spatial and temporal domain by Gabor functions as third order tensors. Then, projection vectors are extracted from tensor-represented EEG signals by GTDA. In this approach, the discriminative… CONTINUE READING