GIB-UVa ERP-BCI dataset

  1. Santamaría-Vázquez, Eduardo 1
  2. Martínez-Cagigal, Víctor 1
  3. Hornero, Roberto 1
  1. 1 Universidad de Valladolid, Spain

Editor: IEEE DataPort

Año de publicación: 2020

Tipo: Dataset

CC BY 4.0

DOI: 10.21227/2QQH-C524 lock_openAcceso abierto editor

Resumen

This dataset contains EEG signals from 73 subjects (42 healthy; 31 disabled) using an ERP-based speller to control differentbrain-computer interface (BCI) applications. The demographics of the dataset can be found in info.txt.Additionally, you will find the results of the original studybroken down by subject, the code to build the deep-learning models used inSantamaría-Vázquez et al., 2020 (i.e., EEG-Inception, EEGNet, DeepConvNet, CNN-BLSTM)and a script to load the dataset.