EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks
Introduced by Daryanavard et al. in Real-time noise cancellation with Deep Learning
This database contains EEG and evoked potential recordings from 20 participants. This allows to assess the signal to noise ratio: - Signal: The P300 power and VEP power can be used to assess the signal power - Noise: The signal power consisting of EMG and baseline EEG during the different tasks allows to determine the noise level
Papers
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