moabb.datasets.BNCI2015_012#
- class moabb.datasets.BNCI2015_012[source]#
BNCI 2015-012 PASS2D P300 dataset.
Dataset summary
#Subj
10
#Chan
63
#Trials / class
6075 NT / 759 T
Trials length
1 s
Freq
1000 Hz
#Sessions
1
Participants
Population: healthy
Age: 25.1 years
BCI experience: 2 subjects had previous BCI experience
Equipment
Amplifier: Brain Products
Electrodes: Ag/AgCl
Montage: 10-20
Reference: nose
Preprocessing
Data state: processed/epoched for analysis
Bandpass filter: 0.1-250 Hz
Steps: analog bandpass filter (0.1-250 Hz), low-pass filter to 40 Hz, downsampling to 100 Hz, epoching (-150 to 800 ms relative to stimulus onset), baseline correction (first 150 ms), artifact rejection (peak-to-peak > 100 μV)
Re-reference: nose
Data Access
DOI: 10.3389/fnins.2011.00099
Experimental Protocol
Paradigm: p300
Feedback: visual
Stimulus: rc_speller
Dataset from [1].
Dataset Description
This dataset contains EEG recordings from 10 subjects performing a P300 speller task with a two-dimensional pseudo-random sequence (PASS2D) paradigm.
Note: Only 10 of the original 12 participants’ data is available on the BNCI server. Subjects 3 (VPnx) and 6 (VPmg) return HTTP 404 errors.
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
Added in version 1.2.0.