moabb.datasets.BNCI2015_003#

class moabb.datasets.BNCI2015_003[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 years

  • BCI experience: naive

Equipment

  • Amplifier: BrainAmp

  • Electrodes: Ag/AgCl

  • Montage: fixed set of 56 electrodes

  • Reference: nose

Preprocessing

  • Data state: processed

  • Bandpass filter: 0.1-250 Hz

  • Steps: low-pass filtering below 40 Hz, down sampling to 100 Hz, baseline correction using 150 ms pre-stimulus data

  • Re-reference: nose

Data Access

  • DOI: 10.3389/fnins.2011.00112

Experimental Protocol

  • Paradigm: p300

  • Feedback: visual

  • Stimulus: rsvp

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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