IoBT-VISTEC / EEGANetLinks
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
☆39Updated 3 years ago
Alternatives and similar repositories for EEGANet
Users that are interested in EEGANet are comparing it to the libraries listed below
Sorting:
- Deep learning model for EEG artifact removal☆78Updated 3 years ago
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆42Updated 4 years ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆63Updated 3 years ago
- Hands-on tutorial on deep learning for EEG classification.☆83Updated last year
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆70Updated last year
- Analysis of Transformer attention in EEG signal classification☆45Updated last year
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆112Updated 2 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆96Updated 5 months ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆65Updated 2 years ago
- ☆19Updated 4 years ago
- Artifact Subspace Reconstruction for Python☆58Updated 4 months ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆18Updated 5 years ago
- ☆19Updated 7 months ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆91Updated 4 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆48Updated 3 years ago
- Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synth…☆73Updated last year
- ☆32Updated 7 months ago
- In this project, we propose a CNN model to classify single-channel EEG for driver drowsiness detection. We use the Class Activation Map (…☆27Updated 3 years ago
- modify self-attention model for EEG signal as input and image embedding layer as output☆102Updated 6 years ago
- Transformer-based fNIRS Classification. Paper: Transformer Model for Functional Near-Infrared Spectroscopy Classification☆79Updated 9 months ago
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆215Updated 2 years ago
- ☆39Updated 4 years ago
- ☆66Updated 2 years ago
- code for NeurIPS_competition☆28Updated 3 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆46Updated 11 months ago
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆64Updated 4 months ago
- Public EEG Dataset☆65Updated 2 years ago
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆159Updated 2 years ago
- Official Repository of 'A Deep Neural Network for SSVEP-Based Brain-Computer Interfaces'☆78Updated 2 years ago
- ☆32Updated last year