This repository contains MATLAB code for the paper titled "Single trial detection of error-related potentials in brain–machine interfaces: a survey and comparison of methods," in Journal of Neural Engineering, vol. 20, 2023, doi: 10.1088/1741-2552/acabe9.
First you need to download the data. The links for the datasets:
BNCI Moving Cursor http://bnci-horizon-2020.eu/database/data-sets -> 22. Monitoring error-related potentials (013-2015)
Kaggle P300 Speller https://www.kaggle.com/competitions/inria-bci-challenge/data
HRI (cursor) & HRI (robot) https://github.com/stefan-ehrlich/dataset-ErrP-HRI
Coadaptation https://github.com/stefan-ehrlich/dataset-ErrP-coadaptation
Game Agent https://ieee-dataport.org/documents/errp-dataset
Gaze Speller https://doi.org/10.6084/m9.figshare.5938714.v1
Tactile Feedback (V) & Tactile Feedback (VT) https://teep-sla.eu/index.php/results/40-smc2017-dataset
Virtual Cursor https://github.com/flowersteam/self_calibration_BCI_plosOne_2015
The folder 'HelperFunctions' must be added to MATLAB path. You also need to add to the path the following packages.
Fisher criterion beamformer—statistical spatial filter for event related potentials (available at: https://github.com/gpiresML/FCB-spatial-filter)
Matlab toolboxes for EEG signal analysis—BCI calibration reduction toolbox (available at: https://sites.google.com/site/fabienlotte/research/codeand-softwares)
Matlab toolbox for classification and regression of multi-dimensional data(available at: https://github.com/treder/MVPA-Light)
Run Dataset*_savemat files for each dataset. You can change the preprocessing parameters. By default, the signal is bandpass filtered between 1 and 10 Hz.
Run Dataset*_savemat files for each dataset. You can change the preprocessing parameters. By default, the signal is bandpass filtered between 1 and 10 Hz.
Start App Designer (type appdesigner in MATLAB command window)
Open ErrP_APP.mlapp, choose Dataset and subject, and then click Run.
[B-RELIABLE] (https://sites.google.com/view/b-reliable/)