Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

Towards Domain Free Transformer for Generalized EEG Pre-training

This is a python code for extracting EEG signals from dataset 2b from competition iv, then it converts the data to spectrogram images to classify them using a CNN classifier.

A Lightweight and High Performance Neural network for MI-EEG decoding

This code is for classifying spectrogram images of Motor Movement/Imagery tasks using a Convolutional Neural Network (CNN) and Generative Adversarial Network (GAN) for data augmentation..

A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization through Proximity-to-Boundary Scoring

This Python script creates, trains, and tests a Convolutional Neural Network (CNN) for image classification using various libraries like Numpy, Tensorflow, OpenCV, Keras, etc. The input images are spectrum images that are loaded from a specified folder path and pre-processed by resizing and normalizing.

University MS Thesis Project, Controlling an avatar in a Virtual Environment via EEG Motor Imagery