moabb.datasets.BI2014a#

class moabb.datasets.BI2014a(subjects=None, sessions=None)[source]#

P300 dataset BI2014a from a “Brain Invaders” experiment.

PapersWithCode leaderboard: https://paperswithcode.com/dataset/braininvaders2014a-moabb

Dataset summary

#Subj

64

#Chan

16

#Trials / class

990 NT / 198 T

Trials length

1 s

Freq

512 Hz

#Sessions

up to 3

Participants

  • Population: healthy

  • Age: 23.55 years

  • Handedness: not specified

  • BCI experience: 57 were naïve BCI participants

Equipment

  • Amplifier: g.USBamp (g.tec, Schiedlberg, Austria)

  • Electrodes: dry electrodes

  • Montage: 10-10

  • Reference: right earlobe

Preprocessing

  • Data state: raw EEG with hardware tagging (USB digital-to-analog converter for synchronization)

  • Re-reference: right earlobe

  • Notes: No digital filter applied during recording. USB digital-to-analog converter used to reduce jitter and synchronize experimental tags with EEG signals.

Data Access

Experimental Protocol

  • Paradigm: p300

  • Task type: oddball

  • Feedback: visual (game interface)

  • Stimulus: visual flashes

Found an issue with this dataset?

If you encounter any problems with this dataset (missing files, incorrect metadata, loading errors, etc.), please let us know!

Report an Issue on GitHub

This dataset contains electroencephalographic (EEG) recordings of 71 subjects playing to a visual P300 Brain-Computer Interface (BCI) videogame named Brain Invaders. The interface uses the oddball paradigm on a grid of 36 symbols (1 Target, 35 Non-Target) that are flashed pseudo-randomly to elicit the P300 response. EEG data were recorded using 16 active dry electrodes with up to three game sessions. The experiment took place at GIPSA-lab, Grenoble, France, in 2014. A full description of the experiment is available at [1]. The ID of this dataset is BI2014a.

Investigators:

Eng. Louis Korczowski, B. Sc. Ekaterina Ostaschenko

Technical Support:

Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues, M. Sc. Violette Gautheret

Scientific Supervisor:

Ph.D. Marco Congedo

Notes

Note

BI2014a was previously named bi2014a. bi2014a will be removed in version 1.1.

Added in version 0.4.6.

References

[1]

Korczowski, L., Ostaschenko, E., Andreev, A., Cattan, G., Rodrigues, P. L. C., Gautheret, V., & Congedo, M. (2019). Brain Invaders calibration-less P300-based BCI using dry EEG electrodes Dataset (BI2014a). https://hal.archives-ouvertes.fr/hal-02171575

data_path(subject, path=None, force_update=False, update_path=None, verbose=None)[source]#

Get path to local copy of a subject data.

Parameters:

  • subject (int) – Number of subject to use

  • path (None | str) – Location of where to look for the data storing location. If None, the environment variable or config parameter MNE_DATASETS_(dataset)_PATH is used. If it doesn’t exist, the “~/mne_data” directory is used. If the dataset is not found under the given path, the data will be automatically downloaded to the specified folder.

  • force_update (bool) – Force update of the dataset even if a local copy exists.

  • update_path (bool | None Deprecated) – If True, set the MNE_DATASETS_(dataset)_PATH in mne-python config to the given path. If None, the user is prompted.

  • verbose (bool, str, int, or None) – If not None, override default verbose level (see mne.verbose()).

Returns:

path – Local path to the given data file. This path is contained inside a list of length one, for compatibility.

Return type:

list of str

Examples using moabb.datasets.BI2014a#

Tutorial 5: Creating a dataset class

Tutorial 5: Creating a dataset class