AutICA

Signal Processing in Bioengineering Course Project @ IST Lisbon

Requirements

• MATLAB v2016 or superior
• MATLAB Statistical and Signal Processing toolboxes
• Python 3.6 or superior
• Up-to-date Python packages scipy, numpy, matplotlib

To Run Automatic ICA Analysis

Alter subject, session numbers and ICA algorithm to run in eeglab2021.0/analysis_protocol.m. Run it on MATLAB. An EEGLAB session will start analysing the dataset of that subject-session pair and it will save some images and datasets on the device. So, be sure to have at least 300 Mb free of storage per subject-session pair. The analysis will stop to ask you which independent components to remove. Answer in the command line with an array, e.g. [2 5 7]. Results will be saved under the directory results/SBJXX/SYY/algorithm according to subject, session, and ICA algorithm selected.

To Run Automatic P300 Detection

Alter subject, session numbers in p300/p300_plot.py and run the script with the command python3 p300_plot.py. Results will be saved under the directory results/SBJXX/SYY according to subject and session selected.

Authorship

(C) 2021 João Saraiva -- joaomiguelsaraiva@tecnico.ulisboa.pt