moabb.datasets.BNCI2015_003#

class moabb.datasets.BNCI2015_003(subjects=None, sessions=None)[source]#

BNCI 2015-003 P300 dataset.

PapersWithCode leaderboard: https://paperswithcode.com/dataset/bnci2015-003-moabb-1

Dataset summary

#Subj

10

#Chan

8

#Trials / class

1500 NT / 300 T

Trials length

0.8 s

Freq

256 Hz

#Sessions

1

Participants

  • Population: Healthy

  • Age: 34.1 (range: 20-57) years

  • BCI experience: naive

Equipment

  • Amplifier: BrainAmp

  • Electrodes: Ag/AgCl electrodes

  • Montage: standard_1005

  • Reference: nose

Preprocessing

  • Data state: filtered

  • Bandpass filter: 0.1-40 Hz

  • Steps: low-pass filter, downsampling, baselining

  • Re-reference: nose

  • Notes: For online use signal was low-pass filtered below 40 Hz and downsampled to 100 Hz. Data baselined using 150 ms pre-stimulus data as reference.

Data Access

Experimental Protocol

  • Paradigm: p300

  • Task type: auditory_oddball

  • Tasks: spelling, auditory_attention

  • Feedback: auditory

  • Stimulus: spatial_auditory

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Dataset from [1].

Dataset Description

This dataset contains EEG data from 10 subjects using a P300 speller system. The dataset includes target and non-target responses during a visual P300 paradigm.

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

Note

BNCI2015_003 was previously named BNCI2015003. BNCI2015003 will be removed in version 1.1.

Added in version 0.4.0.

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