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: standard_1010

  • Reference: right earlobe

Preprocessing

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

  • 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

  • Stimulus: visual flashes

Found an issue with this dataset?

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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