bci_toolbox (work in Progress)

A benchamark classification toolbox for Brain-Computer Interface EEG data

Data sets available:

ERP Data sets:

1. BCI Compeition III Challenge 2004 (P300 evoked potentials) (http://www.bbci.de/competition/iii/)
2. EPFL P300 data set (https://mmspg.epfl.ch/BCI_datasets)
3. P300 speller with ALS patients (set #8) (http://bnci-horizon-2020.eu/database/data-sets)
4. LARESI inverted face data set (coming soon)

SSVEP Data sets:

1. SSVEP Exoskeleton (https://old.datahub.io/dataset/dataset-ssvep-exoskeleton)
2. Tsinghua Sampled sinusoidal Joint Frequency-Phase Modulation SSVEP (http://www.thubci.org/en/?a=nr&id=100)
3. San Diego Square Joint Frequnecy-Phase Modulation SSVEP (ftp://sccn.ucsd.edu/pub/cca_ssvep)

• Processing methods available:

• • Feature extraction: --- Downsample --- Multivariate Linear Regression(MLR)
• • classification :
  • • • LDA
  • • • Regularized LDA (shrinkage-LDA)
  • • • SWDLA
  • • • SVM (LIBSVM)
  • • • Logistic Regression (LIBLINEAR)
  • • • Random Forest
  • • • SVM+
  • • • Canonical Correlation Analysis based methods : - - - CCA, FilterBank CCA (FBCCA), L1-Multiway CCA, MsetCCA, Individual Template CCA (ITCCA)
  • • • Task-related Component Analysis (TRCA)

  Setup

  Run the setup.m script

  Usage

  First run

  • Download one of the Datasets (or all) in the list.
  • create a new folder inside the Dataset/epochs.
  • Run one (or all, one by one) scripts related to each dataset in the dataio folder.

  Regular usage

  • Run the script "define_approach_ERP.m" for ERP data
  • Run the script "define_approach_SSVEP.m" for SSVEP data

  Documentation

  coming soon

  Cite us

  coming soon