Multifractal feature vectors for Brain-Computer interfaces

  title={Multifractal feature vectors for Brain-Computer interfaces},
  author={Nicolas Brodu},
  journal={2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)},
This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI competitions II and III. The feature extraction can be performed in real time with low-cost discrete wavelet transforms. Classification results obtained with the new feature vectors are close to the state of art techniques, while using a different information. Combining the new multifractal feature vector with existing ones… CONTINUE READING


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