Datasets › EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks

EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks

Introduced by Sama Daryanavard et al. in Real-time noise cancellation with Deep Learning11 Mar 2020 archive 2025-07-28

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

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

Creative Commons Attribution 4.0 International License

Modalities archive 2025-07-28

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Languages archive 2025-07-28

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Variants archive 2025-07-28

  • EEG and P300 database to determine the signal to noise ratio during a variety of realistic tasks

1 variant name, as the archive lists them.

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