Seizure Prediction in Epilepsy

This is part of Ms. HUANG Ke’s PhD program at City University of Hong Kong, where we are focused on using EEG and other multi-modal signals from open-access datasets to predict epileptic seizures using machine learning models. My contributions to this project include the following tasks:

1. Dataset Selection: I conducted extensive research to identify suitable open-access datasets and made selections based on EEG channels.
2. Feature Extraction: I utilized EEGLab and the Discrete Wavelet Transform (DWT) method to extract relevant features from the EEG data.
   
3. Deep Learning-Based Feature Extraction: I explored deep learning techniques for feature extraction from the multi-modal signals.