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. 2017 Mar 28:4:160121.
doi: 10.1038/sdata.2016.121.

Event-related potential data from a guess the number brain-computer interface experiment on school children

R Mouček  1 , L Vařeka  1 , T Prokop  1 , J Štěbeták  1 , P Brůha  1
Affiliations

Event-related potential data from a guess the number brain-computer interface experiment on school children

R Mouček et al. Sci Data. .

Abstract

Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while they are observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, laterality, the number thought by the participant, the guess of the experimenters, and various interesting additional information). Consequently, we offer the largest publicly available odd-ball paradigm collection of datasets to neuroscientific and brain-computer interface community.

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Conflict of interest statement

The authors declare no competing financial interests.

Figures

Figure 1
Figure 1. Experiment, hardware equipment.
(a) The medium 10/20 EEG cap. (b) The BrainVision V-Amp amplifier. (c) Course of the experiment. Researchers are observing event-related potentials while these are averaged in the BrainVision Recorder. The notebook on the right is used to control the stimulation. The subject sitting in the chair is exposed to visual stimuli. The subject’s face has been blurred to protect his/her privacy.
Figure 2
Figure 2. Averaged Pz channel epochs of the target stimulus.
(a) Averaged Pz channel epochs of the target stimulus of the experiment with ID 341 (data file P3Numbers_20150618_f_10_001.eeg). Epochs were extracted in the interval −500 ms to 1,000 ms relative to stimulus onset. Subsequently a baseline acquired from the −500 ms to 0 ms interval before the stimulus was subtracted from each epoch. The declining signal trend is clearly visible on the plot even after baseline correction. The trials above the chart represent moving averages with the smoothing window of length 10. The original data consist of 17 trials. The scale on the right side is in microvolts. (b) The same baseline corrected epochs averaged after high pass filtering with 0.5 Hz cut-off frequency. The declining signal trend was removed by the high pass filter.
Figure 3
Figure 3. EEG/ERP Portal (EEGBase)—list of experiments.
List of experiments in the package ‘PROJECT DAYS P3 NUMBERS’ (only the first ten experiments are showed) and the ‘Add to cart’ link.
Figure 4
Figure 4. EEG/ERP Portal (EEGBase)—Content of the cart.
Content of the cart that is available under the selected license.
See this image and copyright information in PMC

Dataset described in

References

Data Citations

    1. Mouček R., Vařeka L., Prokop T., Štebeták J., Brůha P. 2016. EEG/ERP Portal (EEGbase), Experiments package: PROJECT DAYS P3 NUMBERS. https://eegdatabase.kiv.zcu.cz
    1. Mouček R., Vařeka L., Prokop T., Štebeták J., Brůha P. 2016. Harvard Dataverse. - DOI - PMC - PubMed
    1. Mouček R., Vařeka L., Prokop T., Štebeták J., Brůha P. 2016. Harvard Dataverse. - DOI - PMC - PubMed
    1. Mouček R., Vařeka L., Prokop T., Štebeták J., Brůha P. 2016. Harvard Dataverse. - DOI - PMC - PubMed
    1. Mouček R., Vařeka L., Prokop T., Štebeták J., Brůha P. 2016. Harvard Dataverse. - DOI - PMC - PubMed

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Publication types

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