basel-shehabi / EEG-Synthetic-Data-Using-GANs
This repo is for the submission for my Final Year Project on creating Synthetic EEG Data using General Adverserial Neural Networks (GANs) in order to augment existing training datasets to reduce caliberation time in MI-based BCI's.
☆50Updated 4 years ago
Alternatives and similar repositories for EEG-Synthetic-Data-Using-GANs:
Users that are interested in EEG-Synthetic-Data-Using-GANs are comparing it to the libraries listed below
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆158Updated 4 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆123Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated last year
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆82Updated 3 years ago
- CNN classifier to classify MI-EEG signals☆49Updated 5 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆28Updated 4 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆41Updated 3 months ago
- A list of papers for motor imagery using machine learning/deep learning.☆66Updated 4 years ago
- Clasificación de señales de EEG de imaginación motora y calculo mental con redes neuronales convolucionales y redes neuronales recurrente…☆47Updated 2 years ago
- BCI Competition IV dataset 2a☆27Updated 5 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 9 months ago
- ECE-GY 9123 Project: GCN-Explain-Net: An Explainable Graph Convolutional Neural Network (GCN) for EEG-based Motor Imagery Classification …☆48Updated 3 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆12Updated last year
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years ago
- code for LMDA☆76Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆60Updated 4 years ago
- ☆75Updated 3 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆32Updated 3 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆89Updated 6 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 9 months ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- Analysis of Transformer attention in EEG signal classification☆43Updated 6 months ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆100Updated 5 years ago
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- ☆67Updated 6 years ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆21Updated 5 years ago
- Learning Representations From EEG With Deep Recurrent-Convolutional Neural Networks☆16Updated 5 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆78Updated 6 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆37Updated 4 years ago
- IEEE Transactions on Emerging Topics in Computational Intelligence☆63Updated last year