moabb.datasets.BNCI2014_008#

class moabb.datasets.BNCI2014_008[source]#

BNCI 2014-008 P300 dataset (ALS patients).

PapersWithCode leaderboard: https://paperswithcode.com/dataset/bnci2014-008-moabb-1

Dataset summary

#Subj

8

#Chan

8

#Trials / class

3500 NT / 700 T

Trials length

1 s

Freq

256 Hz

#Sessions

1

Participants

  • Population: healthy

  • Age: 58 years

  • BCI experience: naive

Equipment

  • Amplifier: BCI2000

  • Electrodes: active electrodes

  • Montage: 10-10

  • Reference: right earlobe

Preprocessing

  • Data state: epoched

  • Bandpass filter: 0.1-10 Hz

  • Steps: bandpass filtering, notch filtering, epoching, artifact rejection, baseline correction, decimation

Data Access

  • DOI: 10.3389/fnhum.2013.00732

Experimental Protocol

  • Paradigm: p300

  • Feedback: none

  • Stimulus: rsvp

Dataset from [1].

Dataset Description

This dataset contains EEG data from 8 ALS patients using a P300 speller system. The dataset includes target and non-target responses during a visual P300 paradigm.

Participants

  • 8 participants with amyotrophic lateral sclerosis (ALS)

  • Gender: 6 male, 2 female

  • Age range: 25-60 years

Recording Details

  • Channels: 8 EEG channels

  • Sampling rate: 256 Hz

  • Reference: Linked mastoids

References

[1]

Riccio, A., Simione, L., Schettini, F., Pizzimenti, A., Inghilleri, M., Belardinelli, M. O., & Mattia, D. (2013). Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis. Frontiers in human neuroscience, 7, 732. https://doi.org/10.3389/fnhum.2013.00732

Notes

Note

BNCI2014_008 was previously named BNCI2014008. BNCI2014008 will be removed in version 1.1.

Added in version 0.4.0.

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