moabb.datasets.BNCI2015_012#

class moabb.datasets.BNCI2015_012(subjects=None, sessions=None)[source]#

BNCI 2015-012 PASS2D P300 dataset.

Dataset summary

#Subj

10

#Chan

63

#Trials / class

6075 NT / 759 T

Trials length

1 s

Freq

1000 Hz

#Sessions

1

Participants

  • Population: Healthy

  • Age: 25.1 (range: 21-34) years

  • BCI experience: mostly naive

Equipment

  • Amplifier: Brain Products

  • Electrodes: wet Ag/AgCl electrodes

  • Montage: 10-20

  • Reference: nose

Preprocessing

  • Data state: filtered and downsampled

  • Bandpass filter: 0.1-250 Hz

  • Steps: analog bandpass filter, lowpass filter, downsampling, artifact rejection

  • Re-reference: nose

  • Notes: Epochs with peak-to-peak voltage difference exceeding 100 μV in any channel were rejected during calibration. No artifact correction applied in online runs.

Data Access

  • DOI: 10.3389/fnins.2011.00099

  • Repository: BNCI Horizon

Experimental Protocol

  • Paradigm: p300

  • Task type: auditory ERP speller

  • Tasks: text spelling, counting task

  • Feedback: visual

  • Stimulus: auditory tones

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Dataset from [1].

Dataset Description

This dataset contains EEG recordings from 10 subjects performing a P300 speller task with a two-dimensional pseudo-random sequence (PASS2D) paradigm.

Note: Only 10 of the original 12 participants’ data is available on the BNCI server. Subjects 3 (VPnx) and 6 (VPmg) return HTTP 404 errors.

References

[1]

Schreuder, M., Rost, T., & Tangermann, M. (2011). Listen, you are writing! Speeding up online spelling with a dynamic auditory BCI. Frontiers in neuroscience, 5, 112. https://doi.org/10.3389/fnins.2011.00112

Notes

Added in version 1.2.0.

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