Feature extraction of P300s in EEG signal with discrete wavelet transform and fisher criterion

@article{Guo2015FeatureEO,
  title={Feature extraction of P300s in EEG signal with discrete wavelet transform and fisher criterion},
  author={Shunying Guo and Suyun Lin and Zhihua Huang},
  journal={2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)},
  year={2015},
  pages={200-204}
}
P300 Speller is a P300-based Brain-Computer Interfaces (BCIs), which help users write the desired characters to the computer screen by detecting the P300 event-related potentials in users' electroencephalographic (EEG). This article proposes a feature extraction method for P300 detection. This method combines discrete wavelet transform (DWT) with Fisher criterion. This method, firstly transforms the EEG signal into wavelet domain by DWT. Then, the feature space where best distinguish two kinds… CONTINUE READING
4 Citations
20 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 20 references

Brain-Computer Interfaces: BCIs in the Laboratory and at Home: The Wadsworth Research Program

  • Sellers, EricW. McFarland, DennisJ. Vaughan, TheresaM. Wolpaw, JonathanR.
  • Brain-Computer Interfaces, 2010.
  • 2010
2 Excerpts

Similar Papers

Loading similar papers…