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This dataset contains EEG signals used in the paper "Brain-computer interface system based on p300 processing with convolutional neural network, novel speller, and low number of electrodes"

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LEBci-database

This dataset contains EEG signals used in the paper "Brain-computer interface system based on p300 processing with convolutional neural network, novel speller, and low number of electrodes"

This dataset contains EEG signals acquired from 8 subject, which were recording using the device Cyton OpenBCI®. The sample rate is 250 Hz and the electrode channels positions are O1, Oz and O2. The paradigm to elicit the P300 wave is the DonchinC described in https://link.springer.com/article/10.1007/s12559-020-09744-2

If you use this dataset please cite this article:

Ramirez-Quintana, J.A., Madrid-Herrera, L., Chacon-Murguia, M.I. et al. Brain-Computer Interface System Based on P300 Processing with Convolutional Neural Network, Novel Speller, and Low Number of Electrodes. Cogn Comput 13, 108–124 (2021). https://doi.org/10.1007/s12559-020-09744-2

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This dataset contains EEG signals used in the paper "Brain-computer interface system based on p300 processing with convolutional neural network, novel speller, and low number of electrodes"

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