HaojiongZhang / TUH-EEG-Dataset
Code for extracting meta data from TUH EGG corpuses and queries
☆18Updated 3 years ago
Alternatives and similar repositories for TUH-EEG-Dataset
Users that are interested in TUH-EEG-Dataset are comparing it to the libraries listed below
Sorting:
- Matlab code for SBLEST algorithm☆43Updated last year
- ☆60Updated last year
- Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive mode…☆45Updated 2 years ago
- NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.☆122Updated last year
- selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data☆53Updated 2 months 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
- This is the python implementation of Tensor-CSPNet and Graph-CSPNet.☆66Updated 2 weeks ago
- JMIR AI'23: EEG dataset processing and EEG Self-supervised Learning☆48Updated last year
- Deep Learning pipeline for motor-imagery classification.☆61Updated 3 years ago
- META-EEG: Meta-learning-based Class-relevant EEG Representation Learning for Zero-calibration Brain-computer Interfaces☆18Updated 10 months ago
- Deep Learning with EEG.☆18Updated 5 months ago
- ☆35Updated 11 months ago
- ☆34Updated 2 months ago
- code for LMDA☆79Updated last year
- MSVTNet: Multi-Scale Vision Transformer Neural Network for EEG-Based Motor Imagery Decoding☆23Updated 8 months ago
- ☆38Updated 4 years ago
- Official implementation of 'Adapting to Inter-Subject Variability in EEG-Based Motor Imagery Classification with Meta-Learning' (ICLR 202…☆14Updated last year
- An open source tool for large-scale EEG datasets processing☆38Updated last month
- Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizab…☆21Updated last year
- seizure type classification using TUH dataset☆72Updated last year
- Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer [ICPR'22]☆21Updated 2 years ago
- ☆35Updated last year
- CRNNeeg: A deep learning algorithm for sleep staging PSG and long-term scalp EEG☆17Updated 4 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆39Updated last year
- [ICLR 2025] NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals☆51Updated last week
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆55Updated 2 years ago
- [Arxiv] NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG☆55Updated 3 months ago
- GGN model for seizure classification (datasets: TUH EEG seizure TUSZ 1.5.2)☆55Updated last year
- ☆37Updated last week
- This repository is the official implementation of “Transfer learning for brain-computer interfaces: A Euclidean space data alignment appr…☆21Updated 3 years ago