Single-trial EEG classification for brain-computer interface using wavelet decomposition

  title={Single-trial EEG classification for brain-computer interface using wavelet decomposition},
  author={Y. P. A. Yong and Neil J. Hurley and Guenole C. M. Silvestre},
  journal={2005 13th European Signal Processing Conference},
A classification system for EEG signals using wavelet decomposition to form the feature vectors is developed. Single-trial analysis loses the benefit of averaging to remove non-task related brain activity and makes it more difficult to pick out key features determining the execution of a task. Wavelet analysis is used here to localise the event-related desynchronization of voluntary movement. Classification of a self-paced typing experiment was made using wavelets for the feature selection and… CONTINUE READING
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