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

Ano de publicación: 2020

Tipo: Dataset

CC BY 4.0

DOI: 10.21227/WWR9-1J32 lock_openAcceso aberto editor

Resumo

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 dataset is divided in 3 files corresponding to the 3 sets used in Santamaría-Vázquez et al., 2020 (link to article):TRAIN_SET.h5 : contains data from 34 healthy subjectsDEV_SET.h5: contains data from 8 healthy subjectsTEST_SET.h5: contains data from 31 motor disabled subjects **This file will be uploaded on paper acceptance.