This is the project I have worked on as part of my research internship at the Institute of Systems and Robotics in Portugal. The code is open source and can be found at the following 2 repositories:
Sample of EEG signal with 14 channels
ML classification models for EEG signals
A brief overview
This project focused on building machine learning models for the classification of EEG signals. The data comes from 2 groups of subjects: healthy controls and patients with Autism Spectrum Disorder (ASD). The goal is to identify novel biomarkers for ASD, through the use of state-of-the-art machine learning models.
Technologies used:
- Python
- Tensorflow
- Scikit-learn
- Scipy
- Matplotlib
- NumPy
- Matlab