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
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆13Updated last year
- EEG motor imagery classification using convolutional neural networks☆35Updated 2 years ago
- GAN and VAE implementations to generate artificial EEG data to improve motor imagery classification. Data based on BCI Competition IV, da…☆158Updated 5 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆125Updated last year
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆42Updated 5 months ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆41Updated 10 months ago
- Project to test the accuracy of multiple algorithms published in articles to the EEG binary motor imagery problem☆21Updated 5 years ago
- Classification of BCI competition VI dataset 2a using ANN by applying WPD and CSP for feature extraction☆84Updated 3 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆90Updated 2 years 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
- 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
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆54Updated 2 years ago
- Moved to https://github.com/TNTLFreiburg/braindecode!☆62Updated 4 years ago
- ☆19Updated 4 years ago
- Seeking to recreate the work demonstrated in A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification by…☆18Updated 3 years ago
- Python implemementation of the FBCSP algorithm☆32Updated 10 months ago
- ☆80Updated 3 years ago
- Construct a model, which contains channel-attention, CNN, LSTM, self-attention, to classify EEG data;☆11Updated 3 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆39Updated 4 years ago
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- High-East / Attention-based-spatio-temporal-spectral-feature-learning-for-subject-specific-EEG-classificationOfficial code for "Attention-Based Spatio-Temporal-Spectral Feature Learning for Subject-Specific EEG Classification" paper☆37Updated 3 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
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆44Updated 2 years ago
- Pytorch implementation of EEGNet.☆45Updated 2 years ago
- code for LMDA☆79Updated last year
- The codes that I implemented during my B.Sc. project.☆22Updated 3 years ago
- ☆43Updated 6 years ago
- Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data☆79Updated 7 years ago
- MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification☆22Updated 3 years ago