IoBT-VISTEC / EEGANetLinks
EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)
☆43Updated 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☆79Updated 3 years ago
- End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)☆100Updated 7 months ago
- source codes for EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection (IEEE Transactions on Indu…☆64Updated 3 years ago
- A python package for extracting EEG features. See article "Unsupervised EEG Artifact Detection and Correction" in Frontiers in Digital He…☆75Updated last month
- Meta-Learning for EEG, Sleep Staging, Transfer Learning, Pre-trained EEG, PSG datasets (IEEE Journal of Biomedical and Health Informatic…☆43Updated 4 years ago
- ☆20Updated 4 years ago
- This project describes the necessary code to implement an EEG-based emotion recognition using SincNet [Ravanelli & Bengio 2018] including…☆79Updated 6 months ago
- Hands-on tutorial on deep learning for EEG classification.☆86Updated last year
- EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comp…☆225Updated 2 years ago
- [IEEE J-BHI-2024] A Convolutional Transformer to decode mental states from Electroencephalography (EEG) for Brain-Computer Interfaces (BC…☆99Updated 6 months ago
- Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)☆117Updated 2 years ago
- ☆20Updated 9 months ago
- EEGraph: Convert EEGs to graphs with frequency and time-frequency domain connectivity measures.☆161Updated 2 years ago
- A library with tools for EEG analysis☆69Updated 2 months ago
- About Open source code of paper: Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX☆69Updated 2 years ago
- Improving performance of motor imagery classification using variational-autoencoder and synthetic EEG signals☆51Updated last year
- TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo fro…☆164Updated 2 years ago
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆19Updated 5 years ago
- ☆38Updated 4 years ago
- This repository provides a comprehensive pipeline for analyzing motor imagery EEG data using MNE-Python and PyTorch.☆37Updated 7 months ago
- Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network☆41Updated 2 years ago
- Code for processing and managing data for EEG-based emotion recognition of individuals with and without Autism. EEG and other clinical da…☆57Updated 6 months ago
- EEG Features to be extract from raw data.☆28Updated 8 years ago
- ☆33Updated 9 months ago
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆49Updated 3 years ago
- seizure type classification using TUH dataset☆79Updated 3 months ago
- Artifact Subspace Reconstruction for Python☆59Updated 6 months ago
- This toolbox offers 30 types of EEG feature extraction methods (HA, HM, HC, and etc.) for Electroencephalogram (EEG) applications.☆92Updated 4 years ago
- An all-in-one EEG feature extraction toobox, including statistical features, Hjorth parameters, entropy, nonlinear features, power spectr…☆49Updated 2 years ago
- ☆70Updated 2 years ago