/SigFeatSelector

Project for EEG signal's features extractor.

Primary LanguagePython

SigFeatSelector

Project for EEG signal's features extractor that uses Genetic Algorithm. Used for data analysis purposes in Master's Degree Thesis

Introduction

A code for my MD Thesis, which is about features selection in brain-computer interfaces based on SSVEP paradigm, using Genetic Algorithm.

Code used in this repository is taken from BakSys repository and GenAlgorithms.

Technologies

python 3.7 numpy sklearn

Progress

Finished

References

Hovagim Bakardjian "Optimization of steady-state visual responses for robust brain-computer interfaces" 2010 Abootalebi et al. "A new approach for EEG feature extraction in P300-based lie detection" 2009

Data

Data is used from: http://www.bakardjian.com/work/ssvep_data_Bakardjian.html