A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length

@article{Lotte2012ANF,
  title={A new feature and associated optimal spatial filter for EEG signal classification: Waveform Length},
  author={Fabien Lotte},
  journal={Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  year={2012},
  pages={1302-1305}
}
  • Fabien Lotte
  • Published 2012 in
    Proceedings of the 21st International Conference…
In this paper, we introduce Waveform Length (WL), a new feature for ElectroEncephaloGraphy (EEG) signal classification which measures the signal complexity. We also propose the Waveformlength Optimal Spatial Filter (WOSF), an optimal spatial filter to classify EEG signals based on WL features. Evaluations on 15 subjects suggested that WOSF with WL features provide performances that are competitive with that of Common Spatial Patterns (CSP) with Band Power (BP) features, CSP being the optimal… CONTINUE READING