Analysis of data collected during a 3-day Motor Imagery (MI) Brain-Computer Interface (BCI) experiment involving 8 healthy participants.

disp('[config] - Adding biosig toolbox');
addpath(genpath('<absolute-path>\mi-bci-analysis\toolbox\biosig\biosig\t200_FileAccess'));
addpath(genpath('<absolute-path>\mi-bci-analysis\toolbox\biosig\biosig\t250_ArtifactPreProcessingQualityControl'));

% NOTE: Toolbox version may be different

disp('[config] - Adding eeglab toolbox');
addpath(genpath('<absolute-path>\mi-bci-analysis\toolbox\eeglab\eeglab2024.2'));

% NOTE: Toolbox version may be different

The data was recorded using a 16-channel EEG amplifier at a sampling rate of 512 Hz, where the electrodes were positioned according to the 10-20 international system.

Each participant completed at least two recording days:

• Day 1: 3 “offline” runs (calibration, without real feedback) and 2 “online” runs
  (with real feedback);
• Day 2 and Day 3: 2 “online” runs per day.

https://cloud.dei.unipd.it/index.php/s/DLJfJccgFnFiDZY

1. Create toolbox/ folder in root directory and insert biosig and eeglab toolboxes
2. Create dataset/ folder in root directory and insert micontinuous dataset
3. Run generation.m script
4. Run analysis.m script
5. Run selection.m script
6. Run training.m script
7. Run evaluation.m script

• Local machine, Windows 11, MATLAB R2024b
• Local machine, MacOS Sequoia, MATLAB R2024b
• Local machine, Windows 11, MATLAB R2023a
• Local machine, Windows 11, MATLAB R2023b

• Federico Pivotto, 2121720, federico.pivotto@studenti.unipd.it
• Alessandro Bozzon, 2122185, alessandro.bozzon@studenti.unipd.it
• Riccardo Simion, 2157564, riccardo.simion@studenti.unipd.it
• Riccardo Zerbinati, 2158676, riccardo.zerbinati@studenti.unipd.it