2018/11/22 by Erwan Vaineau, Vaineau, Erwan, Alexandre Barachant +9 · 2 citations
Neuroscience · #EEG and Brain-Computer Interfaces #Neural dynamics and brain function #Functional Brain Connectivity Studies
paper · pdf · doi:10.48550/arxiv.1904.09111
<strong>Summary:</strong> This dataset contains electroencephalographic (EEG) recordings of 24 subjects doing a visual P300 Brain-Computer Interface experiment on PC. The visual P300 is an event-related potential elicited by visual stimulation, peaking 240-600 ms after stimulus onset. The experiment was designed in order to compare the use of a P300-based brain-computer interface on a PC with and without adaptive calibration using Riemannian geometry. The brain-computer interface is based on electroencephalography (EEG). EEG data were recorded thanks to 16 electrodes. A full description of the experiment is available at https://hal.archives-ouvertes.fr/hal-02103098. Data were recorded during an experiment taking place in the GIPSA-lab, Grenoble, France, in 2013 (Congedo, 2013). Python code for manipulating the data is available at https://github.com/plcrodrigues/py.BI.EEG.2013-GIPSA. The ID of this dataset is<em> BI.EEG.2013-GIPSA</em>. <strong>Full description of the experiment and dataset:</strong> https://hal.archives-ouvertes.fr/hal-02103098 <strong><em>Principal Investigator</em>:</strong> B.Sc. Erwan Vaineau, Ph.D. Alexandre Barachant <strong><em>Technical Supervisors</em>: </strong>Eng. Anton Andreev, Eng. Pedro. L. C. Rodrigues, Eng. Grégoire Cattan <strong><em>Scientific Supervisor:</em></strong> Ph.D. Marco Congedo <strong>ID of the dataset: </strong><em>BI.EEG.2013-GIPSA</em>