Event-Related Potentials (P300, EEG) - BCI dataset

Event-Related Potentials (P300, EEG) - BCI dataset

Citation Author(s):
Berdakh
Abibullaev
Nazarbayev University
Amin
Zollanvari
Nazarbayev University
Submitted by:
Berdakh Abibullaev
Last updated:
Sun, 05/19/2019 - 08:11
DOI:
10.21227/8aae-d579
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Abstract: 

The provided EEG data were acquired from sixteen healthy young adults (age range 22 - 30 years) with no history of neurological, physical, or psychiatric illness. All the participants were naive BCI users who had not participated in any related experiments before. Informed consents were received from all participants.  The study has been approved by the Institutional Research Ethics Committee of Nazarbayev University.  

 

Scalp EEG was recorded using a 16-channel, active Ag/AgCl electrodes (g.USBamp, g.LADYbird, Guger Technologies OG, Schiedlberg, Austria) with a sampling frequency = 256 Hz. EEG electrodes were positioned according to the International 10-20 system. The right earlobe of participants was used for a ground electrode, whereas the FCz location was used for a reference electrode. 

 

The total number of target letters that a participant had to attend was equal to five. These targets were presented in five consequent sequences with an inter-sequence duration (ISD) of two seconds. In total, five repetitions of each target character were made where one repetition (or trial) consisted of a complete set of 12 random flashes of every row and column (six rows and six columns). The inter-stimulus interval (ISI) was set to 150 ms; likewise, the stimulus duration was 100 ms (i.e., the time length a row/col is highlighted). The minimum time between the same target letter highlights was set to 600 ms, also denoted as a target-to-target (TTI) interval. The stimulus onset asynchrony (SOA) was set to 250 ms. The SOA is the time period between the start of one stimulus event, and the start of the next event. 

Instructions: 

Data is converted to MNE python structure. First, install MNE library via "pip install mne"

You can find more details about the dataset in the following paper: "Learning Discriminative Spatiospectral Features of ERPs for Accurate Brain-Computer Interfaces." Abibullaev B, Zollanvari A. IEEE J Biomed Health Inform. 2019 Jan 16. doi: 10.1109/JBHI.2018.2883458. https://www.ncbi.nlm.nih.gov/pubmed/30668507

Note: the first seven subjects in the list represent the data used in the above study. Remaining subjects are the data collected later from our on-going research.

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[1] Berdakh Abibullaev, Amin Zollanvari, "Event-Related Potentials (P300, EEG) - BCI dataset ", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/8aae-d579. Accessed: Jun. 19, 2019.
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url = {http://dx.doi.org/10.21227/8aae-d579},
author = {Berdakh Abibullaev; Amin Zollanvari },
publisher = {IEEE Dataport},
title = {Event-Related Potentials (P300, EEG) - BCI dataset },
year = {2019} }
TY - DATA
T1 - Event-Related Potentials (P300, EEG) - BCI dataset
AU - Berdakh Abibullaev; Amin Zollanvari
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Berdakh Abibullaev, Amin Zollanvari. (2019). Event-Related Potentials (P300, EEG) - BCI dataset . IEEE Dataport. http://dx.doi.org/10.21227/8aae-d579
Berdakh Abibullaev, Amin Zollanvari, 2019. Event-Related Potentials (P300, EEG) - BCI dataset . Available at: http://dx.doi.org/10.21227/8aae-d579.
Berdakh Abibullaev, Amin Zollanvari. (2019). "Event-Related Potentials (P300, EEG) - BCI dataset ." Web.
1. Berdakh Abibullaev, Amin Zollanvari. Event-Related Potentials (P300, EEG) - BCI dataset [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/8aae-d579
Berdakh Abibullaev, Amin Zollanvari. "Event-Related Potentials (P300, EEG) - BCI dataset ." doi: 10.21227/8aae-d579