gabi-a / EEG-Literature
Notes on methods using EEG for seizure prediction
☆10Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for EEG-Literature
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆40Updated last year
- ☆42Updated 11 months ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆27Updated 4 years ago
- ☆20Updated last year
- SPD-CNN: A Plain CNN-Based Model Using the Symmetric Positive Definite Matrices for Cross-Subject EEG Classification with Meta-Transfer-L…☆16Updated 2 years ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆39Updated 2 years ago
- The project is about applying CNNs to EEG data from CHB-MIT to predict seizure☆105Updated last year
- Moved to https://github.com/TNTLFreiburg/braindecode!☆59Updated 4 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
- Machine learning on the CHB-MIT scalp EEG database☆28Updated 2 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG☆25Updated 3 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆16Updated 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
- code for NeurIPS_competition☆27Updated 2 years ago
- ☆9Updated 5 years ago
- This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.☆19Updated 3 years ago
- for the paper "V-3DCNN, emotion recognition based on EEG"☆12Updated 2 years ago
- Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"☆31Updated 2 years ago
- Parallel Spatial--Temporal Self-attention CNN-based Motor Imagery Classification for BCI☆30Updated 3 years ago
- A toolbox to decode raw time-domain EEG using features.☆17Updated 5 years ago
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆36Updated 4 years ago
- Code to accompany our International Conference on Pattern Recognition (ICPR) paper entitled - Leveraging Synthetic Subject Invariant EEG …☆40Updated 5 months ago
- seizure type classification using TUH dataset☆64Updated last year
- Bacheor Thesis Code for epileptic seizure detection. Used the CHB-MIT dataset.☆11Updated 5 years ago
- Motor Imagery Classification based on EEG at Columbia Medical Center☆47Updated 4 years ago
- Implementation of graph convolutional networks based on PyTorch Geometric to classify EEG signals.☆49Updated 3 years ago
- Code for extracting meta data from TUH EGG corpuses and queries☆13Updated 2 years ago
- Some studies regarding the selection of optimal channels in a BCI based on motor imagery☆11Updated last year
- implementation of FBCSP algorithm☆23Updated 5 years ago
- ☆15Updated 2 years ago