moabb.datasets.BNCI2015_013#

class moabb.datasets.BNCI2015_013(subjects=None, sessions=None)[source]#

BNCI 2015-013 Error-Related Potentials dataset.

Dataset summary

#Subj

6

#Chan

64

#Trials / class

809 NT / 235 T

Trials length

0.6 s

Freq

512 Hz

#Sessions

2

Participants

  • Population: Healthy

  • Age: 27.83 years

  • Handedness: not reported

  • BCI experience: not reported

Equipment

  • Amplifier: Biosemi ActiveTwo

  • Electrodes: active electrode

  • Montage: extended 10-20

  • Reference: CAR

Preprocessing

  • Data state: filtered

  • Bandpass filter: 1-10 Hz

  • Steps: spatial filter (CAR), bandpass filter, epoching

  • Re-reference: CAR

  • Notes: HEOG computed as difference between F7 and F8. Data spatially filtered using common average reference (CAR) then band-pass filtered 1-10 Hz. Epochs extracted for erroneous and correct cursor movements.

Data Access

  • DOI: 10.1109/TNSRE.2010.2053387

  • Repository: BNCI Horizon

Experimental Protocol

  • Paradigm: p300

  • Task type: monitoring

  • Feedback: visual

  • Stimulus: cursor_movement

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

Dataset from [1].

Dataset Description

This dataset contains EEG recordings from 6 subjects performing a cursor control task with error-related potentials. The dataset includes both correct and error responses.

References

[1]

Chavarriaga, R., & Millán, J. D. R. (2010). Learning from EEG error-related potentials in noninvasive brain-computer interfaces. IEEE Trans. Neural Syst. Rehabil. Eng., 18(4), 381-388. https://doi.org/10.1109/TNSRE.2010.2053387

Notes

Added in version 1.2.0.

On this page